Anupma Kaul

158 total papers · 649 total citations
72 papers, 431 citations indexed

About

Anupma Kaul is a scholar working on Nephrology, Epidemiology and Infectious Diseases. According to data from OpenAlex, Anupma Kaul has authored 72 papers receiving a total of 431 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Nephrology, 17 papers in Epidemiology and 16 papers in Infectious Diseases. Recurrent topics in Anupma Kaul's work include Renal Diseases and Glomerulopathies (17 papers), Renal Transplantation Outcomes and Treatments (11 papers) and Hepatitis C virus research (8 papers). Anupma Kaul is often cited by papers focused on Renal Diseases and Glomerulopathies (17 papers), Renal Transplantation Outcomes and Treatments (11 papers) and Hepatitis C virus research (8 papers). Anupma Kaul collaborates with scholars based in India and United States. Anupma Kaul's co-authors include John Figgis Jewett, Narayan Prasad, Dharmendra Bhadauria, Raj Kumar Sharma, Amit Gupta, Rajinder Kumar Sharma, Amit Goel, Praveer Rai, Aneesh Srivastava and Rakesh Aggarwal and has published in prestigious journals such as SHILAP Revista de lepidopterología, Transplantation and Clinica Chimica Acta.

In The Last Decade

Anupma Kaul

59 papers receiving 415 citations

Author Peers

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

Author						Papers	Cites
Anupma Kaul	125	107	79	78	76	72	431
Ahmed Mitwalli	146 1.2×	144 1.3×	50 0.6×	105 1.3×	139 1.8×	33	472
D Zaïd	76 0.6×	153 1.4×	26 0.3×	65 0.8×	48 0.6×	48	441
Masahiko Yazawa	73 0.6×	165 1.5×	16 0.2×	100 1.3×	63 0.8×	73	446
Stephen Sandroni	109 0.9×	122 1.1×	24 0.3×	106 1.4×	109 1.4×	36	487
David M. Gracey	102 0.8×	57 0.5×	161 2.0×	50 0.6×	46 0.6×	40	403
Aydıncan Akdur	91 0.7×	42 0.4×	60 0.8×	238 3.1×	125 1.6×	89	493
José Hermógenes Rocco Suassuna	55 0.4×	148 1.4×	56 0.7×	75 1.0×	18 0.2×	44	422
J Wiggelinkhuizen	114 0.9×	92 0.9×	42 0.5×	83 1.1×	65 0.9×	31	384
Urszula Ołdakowska‐Jedynak	100 0.8×	57 0.5×	27 0.3×	188 2.4×	148 1.9×	48	467
Margaret Ryan	99 0.8×	42 0.4×	31 0.4×	91 1.2×	32 0.4×	29	459

Countries citing papers authored by Anupma Kaul

Since Specialization

Citations

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

Fields of papers citing papers by Anupma Kaul

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anupma Kaul. 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 Anupma Kaul. The network helps show where Anupma Kaul may publish in the future.

Co-authorship network of co-authors of Anupma Kaul

This figure shows the co-authorship network connecting the top 25 collaborators of Anupma Kaul. A scholar is included among the top collaborators of Anupma Kaul 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 Anupma Kaul. Anupma Kaul 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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