Jyoti Nanda

32 total papers · 610 total citations
20 papers, 445 citations indexed

About

Jyoti Nanda is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Cancer Research. According to data from OpenAlex, Jyoti Nanda has authored 20 papers receiving a total of 445 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 8 papers in Pulmonary and Respiratory Medicine and 6 papers in Cancer Research. Recurrent topics in Jyoti Nanda's work include Renal cell carcinoma treatment (6 papers), Renal and related cancers (5 papers) and Amyotrophic Lateral Sclerosis Research (3 papers). Jyoti Nanda is often cited by papers focused on Renal cell carcinoma treatment (6 papers), Renal and related cancers (5 papers) and Amyotrophic Lateral Sclerosis Research (3 papers). Jyoti Nanda collaborates with scholars based in United Kingdom, United States and India. Jyoti Nanda's co-authors include James A. Ross, Grant D. Stewart, Antony C. P. Riddick, Fouad K. Habib, Clement Ho, David J. Harrison, Fiach C. O’Mahony, Arpan R. Mehta, Bhuvaneish T. Selvaraj and Karen Burr and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Clinical Cancer Research.

In The Last Decade

Jyoti Nanda

20 papers receiving 435 citations

Author Peers

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

Author Last Decade Papers Cites
Jyoti Nanda 244 120 104 85 47 20 445
Yvan Nicaise 273 1.1× 77 0.6× 41 0.4× 45 0.5× 82 1.7× 19 443
Huan Deng 160 0.7× 110 0.9× 110 1.1× 54 0.6× 73 1.6× 29 390
Yunhe Gu 164 0.7× 62 0.5× 98 0.9× 98 1.2× 77 1.6× 21 461
Eitan Ben‐David 224 0.9× 57 0.5× 52 0.5× 29 0.3× 42 0.9× 22 473
Lianhua Zhao 161 0.7× 61 0.5× 158 1.5× 47 0.6× 41 0.9× 24 456
Houshi Xu 210 0.9× 110 0.9× 32 0.3× 113 1.3× 31 0.7× 29 484
Wolf Müller 106 0.4× 84 0.7× 93 0.9× 39 0.5× 71 1.5× 25 442
Mina Chen 252 1.0× 41 0.3× 45 0.4× 72 0.8× 55 1.2× 33 458
Sabrina Paratore 191 0.8× 64 0.5× 26 0.3× 108 1.3× 21 0.4× 21 403
Peipei Gong 212 0.9× 69 0.6× 46 0.4× 108 1.3× 14 0.3× 31 402

Countries citing papers authored by Jyoti Nanda

Since Specialization
Citations

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

Fields of papers citing papers by Jyoti Nanda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jyoti Nanda

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