Kamna Das

2.1k total citations
9 papers, 1.3k citations indexed

About

Kamna Das is a scholar working on Molecular Biology, Genetics and Surgery. According to data from OpenAlex, Kamna Das has authored 9 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Genetics and 2 papers in Surgery. Recurrent topics in Kamna Das's work include Cholesterol and Lipid Metabolism (2 papers), Genetic Associations and Epidemiology (2 papers) and Aluminum toxicity and tolerance in plants and animals (2 papers). Kamna Das is often cited by papers focused on Cholesterol and Lipid Metabolism (2 papers), Genetic Associations and Epidemiology (2 papers) and Aluminum toxicity and tolerance in plants and animals (2 papers). Kamna Das collaborates with scholars based in United States, Israel and Switzerland. Kamna Das's co-authors include T. Conrad Gilliam, Barbara Ross, Graciela K. Penchaszadeh, Oleg V. Evgrafov, Eftìhia Cayanis, An‐Suei Yang, Jürg Ott, Bernard Lerer, Richard E. Straub and Filippo Martinelli Boneschi and has published in prestigious journals such as Journal of Biological Chemistry, Nature Genetics and Annals of Neurology.

In The Last Decade

Kamna Das

9 papers receiving 1.3k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Kamna Das United States	9	501	395	384	251	246	9	1.3k
Lars Lannfelt Sweden	15	404 0.8×	573 1.5×	61 0.2×	20 0.1×	214 0.9×	19	1.3k
Gérard Charton France	16	47 0.1×	749 1.9×	214 0.6×	46 0.2×	166 0.7×	20	1.5k
David Pountney United States	14	71 0.1×	1.2k 2.9×	89 0.2×	35 0.1×	39 0.2×	40	1.6k
Bruria Ben Zeev Israel	19	461 0.9×	371 0.9×	67 0.2×	15 0.1×	349 1.4×	47	1.1k
Simon Starosta‐Rubinstein United States	9	51 0.1×	536 1.4×	159 0.4×	73 0.3×	53 0.2×	10	1.2k
Kevin K. Caldwell United States	26	83 0.2×	871 2.2×	120 0.3×	58 0.2×	9 0.0×	50	1.9k
Stephanie M. Patton United States	17	61 0.1×	292 0.7×	139 0.4×	15 0.1×	83 0.3×	24	1.3k
A. Défossez France	18	65 0.1×	518 1.3×	63 0.2×	20 0.1×	154 0.6×	49	1.3k
José V. Sánchez‐Mut Spain	17	459 0.9×	1.1k 2.9×	19 0.0×	26 0.1×	83 0.3×	25	1.6k
Sampath Arepalli United States	18	627 1.3×	1.2k 3.0×	24 0.1×	21 0.1×	96 0.4×	23	1.9k

Countries citing papers authored by Kamna Das

Since Specialization

Citations

This map shows the geographic impact of Kamna Das's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Kamna Das with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kamna Das more than expected).

Fields of papers citing papers by Kamna Das

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kamna Das. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Kamna Das. The network helps show where Kamna Das may publish in the future.

Co-authorship network of co-authors of Kamna Das

This figure shows the co-authorship network connecting the top 25 collaborators of Kamna Das. A scholar is included among the top collaborators of Kamna Das based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kamna Das. Kamna Das is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

Morabia, Alfredo, Barbara M. Ross, Michael C. Costanza, et al.. (2004). Population-based study of SR-BI genetic variation and lipid profile. Atherosclerosis. 175(1). 159–168. 58 indexed citations

Morabia, Alfredo, Eftìhia Cayanis, Michael C. Costanza, et al.. (2003). Association between lipoprotein lipase (LPL) gene and blood lipids: A common variant for a common trait?. Genetic Epidemiology. 24(4). 309–321. 22 indexed citations

Kalachikov, Sergey, Oleg V. Evgrafov, Barbara Ross, et al.. (2002). Mutations in LGI1 cause autosomal-dominant partial epilepsy with auditory features. Nature Genetics. 30(3). 335–341. 436 indexed citations

Das, Kamna, et al.. (1999). Characterization of the Interaction between the Wilson and Menkes Disease Proteins and the Cytoplasmic Copper Chaperone, HAH1p. Journal of Biological Chemistry. 274(40). 28497–28504. 139 indexed citations

Knowles, James A., Peter A. Rao, J E Loth, et al.. (1998). No Evidence for Significant Linkage between Bipolar Affective Disorder and Chromosome 18 Pericentromeric Markers in a Large Series of Multiplex Extended Pedigrees. The American Journal of Human Genetics. 62(4). 916–924. 26 indexed citations

Чернов, И. П., Hong Tao Zhang, Barbara M. Ross, et al.. (1997). Identification and Analysis of Mutations in the Wilson Disease Gene (ATP7B): Population Frequencies, Genotype-Phenotype Correlation, and Functional Analyses. The American Journal of Human Genetics. 61(2). 317–328. 265 indexed citations

Wang, Ching H., Todd A. Carter, Kamna Das, et al.. (1997). Extensive DNA deletion associated with severe disease alleles on spinal muscular atrophy homologues. Annals of Neurology. 42(1). 41–49. 12 indexed citations

Straub, Richard E., Thomas Lehner, Ying Luo, et al.. (1994). A possible vulnerability locus for bipolar affective disorder on chromosome 21q22.3. Nature Genetics. 8(3). 291–296. 230 indexed citations

Risch, Neil, Bernard Lerer, Richard E. Straub, et al.. (1993). Diminished support for linkage between manic depressive illness and X–chromosome markers in three Israeli pedigrees. Nature Genetics. 3(1). 49–55. 121 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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