Rabinder N. Kurl

53 total papers · 619 total citations
40 papers, 506 citations indexed

About

Rabinder N. Kurl is a scholar working on Molecular Biology, Genetics and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Rabinder N. Kurl has authored 40 papers receiving a total of 506 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 10 papers in Genetics and 8 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Rabinder N. Kurl's work include Toxic Organic Pollutants Impact (8 papers), Estrogen and related hormone effects (7 papers) and Carcinogens and Genotoxicity Assessment (6 papers). Rabinder N. Kurl is often cited by papers focused on Toxic Organic Pollutants Impact (8 papers), Estrogen and related hormone effects (7 papers) and Carcinogens and Genotoxicity Assessment (6 papers). Rabinder N. Kurl collaborates with scholars based in United States, Sweden and United Kingdom. Rabinder N. Kurl's co-authors include Samson T. Jacob, Herschel Sidransky, Neil M. Borthwick, Ethel Verney, Matthew J. Olnes, Ian D. Morris, E. Verney, Paolo B. DePetrillo, Jan-Ακε Gustafsson and Mukesh Verma and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and JNCI Journal of the National Cancer Institute.

In The Last Decade

Rabinder N. Kurl

38 papers receiving 487 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Rabinder N. Kurl	233	100	94	81	60	40	506
Hitoshi Funabashi	279 1.2×	53 0.5×	83 0.9×	44 0.5×	33 0.6×	28	583
Shu-Dong Qiu	197 0.8×	103 1.0×	81 0.9×	57 0.7×	35 0.6×	23	486
Jill Merrill	143 0.6×	165 1.6×	87 0.9×	64 0.8×	63 1.1×	22	555
Kathryn E. Plant	292 1.3×	84 0.8×	82 0.9×	76 0.9×	16 0.3×	30	542
Ming‐Cheh Liu	290 1.2×	48 0.5×	48 0.5×	31 0.4×	46 0.8×	27	488
Jie Liu	319 1.4×	64 0.6×	52 0.6×	64 0.8×	33 0.6×	28	559
Masahiko Kushida	288 1.2×	49 0.5×	66 0.7×	192 2.4×	43 0.7×	30	612
D.E. Hall	191 0.8×	61 0.6×	45 0.5×	27 0.3×	85 1.4×	28	566
Ryo Fukunishi	188 0.8×	129 1.3×	57 0.6×	120 1.5×	16 0.3×	46	617
Robert W. Tuman	300 1.3×	89 0.9×	73 0.8×	23 0.3×	25 0.4×	27	588

Countries citing papers authored by Rabinder N. Kurl

Since Specialization

Citations

This map shows the geographic impact of Rabinder N. Kurl'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 Rabinder N. Kurl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rabinder N. Kurl more than expected).

Fields of papers citing papers by Rabinder N. Kurl

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rabinder N. Kurl. 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 Rabinder N. Kurl. The network helps show where Rabinder N. Kurl may publish in the future.

Co-authorship network of co-authors of Rabinder N. Kurl

This figure shows the co-authorship network connecting the top 25 collaborators of Rabinder N. Kurl. A scholar is included among the top collaborators of Rabinder N. Kurl 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 Rabinder N. Kurl. Rabinder N. Kurl is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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