Accumulation of heavy metals in medicinal and aromatic plants
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Substantial loss in crop production is due to the accumulation of heavy metal ions by selective plant hyperaccumulators.
“Substantial loss in crop production is due to the accumulation of heavy metal ions by selective plant hyperaccumulators (Bharwana et al., 2013; Dar et al., 2020; Sharma and Kumar, 2021).”
From Plant hyperaccumulators: a state-of-the-art review on mechanism of heavy metal transport and sequestration (2025) · cites this paper as Dar et al., 2020
The citation lists haven’t been fetched yet
References 98 · Cited by 18
- Authors
- Dar, F. A., Pirzadah, T. B., & Malik, B.
- Affiliations
- University of Kashmir (IN)
- Chandigarh University (IN)
- Corresponding author
- Pirzadah, Tanveer Bilal
- Venue
- Plant Micronutrients
- Publisher
- Springer International Publishing
- Published
- 2020
- Pages
- 113-127
- OpenAlex
- W3047316682
- Cited by
- 18
- References
- 98
- Citations by year
- 2026: 2 · 2025: 7 · 2024: 4 · 2023: 1 · 2022: 4
- FWCI
- 1.14
- Type
- book chapter
- Language
- en
- Open access
- closed
- Locations
- Springer eBooks (publishedVersion)
- Topics
- Physical Sciences › Environmental Science › Pollution › Heavy metals in environment
- Physical Sciences › Chemistry › Analytical Chemistry › Heavy Metals in Plants
- Physical Sciences › Environmental Science › Water Science and Technology › Heavy Metal Pollution Remediation
- Keywords
- heavy metal accumulation, hyperaccumulator plants, medicinal plants, aromatic plants, phytoremediation, phytomining, phytoextraction, phytostabilization, metal transporters, ZIP, mate, HMA, gene stacking, heavy metal contamination, food fortification
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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