Jyoti Nanda

621 citations
21 papers · 464 · h-index 13

Impact in

  • Neurology top 10%
    • Amyotrophic Lateral Sclerosis Research
    • Neuroinflammation and Neurodegeneration Mechanisms
    • Neurogenetic and Muscular Disorders Research

Papers in

Jyoti Nanda

20 papers receiving 454 citations

Peers

Jyoti Nanda
Comparison fields: 5 of 65
  • Neurology 115
  • Neurology 38
  • Genetics 46
  • Cancer Research 58
  • Hepatology 24
Replace Natalia Martín-Martín with:
Natalia Martín-Martín Spain
Matthew R. Kaser United States
Minhui Xu China
Huan Deng China
H Kikuchi Japan
Sebastiano Giallongo Italy
Meredith V. Brown United States
Min Chao China
Xiaoping Du China
Hanna Yoo South Korea
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Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside Jyoti Nanda, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jyoti Nanda Line = papers co-authored together Jyoti Nanda links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202188
2 201737
3 202136
4 200834
5 200833
6 201033
7 201432
8 202332
9 201530
10 201330
11 201221
12 200916
13 202015
14 20139
15 20115
16 20054
17 20194
18 20122
19 20082
20 20051

About Jyoti Nanda

Jyoti Nanda is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Cancer Research, Neurology and Biochemistry, having authored 21 papers that have together received 464 indexed citations. Recurring topics across this work include Renal cell carcinoma treatment (5 papers), Amyotrophic Lateral Sclerosis Research (3 papers), Eicosanoids and Hypertension Pharmacology (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), Cancer Genomics and Diagnostics (2 papers), Inflammatory mediators and NSAID effects (2 papers), Pluripotent Stem Cells Research (2 papers) and Renal and related cancers (2 papers). The work is most often cited by research in Neurology (115 citations), Neurology (38 citations), Genetics (46 citations), Cancer Research (58 citations) and Hepatology (24 citations). Jyoti Nanda has collaborated with scholars based in United Kingdom, India and Netherlands. Frequent 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, Bhuvaneish T. Selvaraj, Karen Burr and Arpan R. Mehta. Their work appears in journals such as PLoS ONE, European Urology, Journal of Clinical Oncology, Clinical Cancer Research and Prostate Cancer and Prostatic Diseases.

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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