Kapil Chaudhary

1.1k citations
34 papers · 600 indexed · h-index 10
Topics
Epilepsy research and treatment (9 papers)Urinary and Genital Oncology Studies (5 papers)Chronic Kidney Disease and Diabetes (4 papers)

In The Last Decade

Kapil Chaudhary

32 papers receiving 591 citations

Peers

Kapil Chaudhary
Comparison fields: 5 of 92
  • Immunology 182
  • Molecular Biology 142
  • Psychiatry and Mental health 81
  • Biological Psychiatry 75
  • Pulmonary and Respiratory Medicine 70
Replace Anne‐Hilde Muris with:
Anne‐Hilde Muris Netherlands
Mariana Postal Brazil
M Zara Italy
Valquíria Bueno Brazil
Hiromichi Yamanishi Japan
Qin Xie China
Mikel D. Haggadone United States
Lowen Y. Lee United States
Yaqing Shu China
Gabriela Desdín-Micó Spain
Kapil Chaudhary relative to Anne‐Hilde Muris Netherlands Anne‐Hilde Muris's profile →
Citations per field
00.5×3.7×
Anne‐Hilde Muris · 1×
Citations per year

Countries citing papers authored by Kapil Chaudhary

Since Specialization
Citations

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

Fields of papers citing papers by Kapil Chaudhary

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kapil Chaudhary

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 1
3 2
4 5
5 1
6 6
7 1
8 3
9 2
10 1
11 2
12 2
13 70
14 6
15 1
16 126
17 91
18 6
19 20
20 63

About Kapil Chaudhary

Kapil Chaudhary is a scholar working on Nephrology, Psychiatry and Mental health and Urology, having authored 34 papers that have together received 600 indexed citations. Recurring topics across this work include Epilepsy research and treatment (9 papers), Urinary and Genital Oncology Studies (5 papers) and Chronic Kidney Disease and Diabetes (4 papers). The work is most often cited by research in Biological Psychiatry (75 citations), Immunology (182 citations) and Behavioral Neuroscience (22 citations). Kapil Chaudhary has collaborated with scholars based in India, United States and Georgia. Frequent co-authors include Tracy L. McGaha, Rahul Shinde, Jillian Bradley, Buvana Ravishankar, Haiyun Liu, Michael P. Madaio, Wei Xiao, Jaya P. Gnana‐Prakasam, Marianne Koritzinsky and Rajalakshmi Veeranan‐Karmegam. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and The Journal of Immunology.

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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