Koyal Jain

506 citations
23 papers · 177 · h-index 7

Impact in

  • Nephrology top 10%
    • Renal Diseases and Glomerulopathies
    • Systemic Lupus Erythematosus Research
    • Urticaria and Related Conditions

Papers in

Koyal Jain

16 papers receiving 173 citations

Peers

Koyal Jain
Comparison fields: 5 of 48
  • Nephrology 44
  • Rheumatology 37
  • Hepatology 19
  • Immunology 44
  • Dermatology 14
Replace Engin Melek with:
Engin Melek Türkiye
M. Baronio Italy
C Fonnesu Italy
Ignacio García-Valladares United States
Juliana Caires de Oliveira Achili Ferreira Brazil
Toshiko Nagata Japan
Anbin Huang China
Charlotte Colosio France
Gabriele Guglielmetti Italy
Mordi Muorah United Kingdom
Koyal Jain relative to Engin Melek Türkiye Engin Melek's profile →
Citations per field
00.5×3.5×
Engin Melek · 1×
Citations per year

Countries citing papers authored by Koyal Jain

Since Specialization
Citations

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

Fields of papers citing papers by Koyal Jain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Koyal Jain, 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 Koyal Jain Line = papers co-authored together Koyal Jain links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199460
2 201920
3 201517
4 198716
5 202116
6 202310
7 20227
8 20246
9 20226
10 20145
11 20155
12
Glimpses of Chinese medicine, 1971: (changes after the cultural revolution).
19723
13 20222
14 20212
15 20251
16
Mediastinal choriocarcinoma presenting with syncope.
20131
17 20240
18 20210
19 20240
20 20210

About Koyal Jain

Koyal Jain is a scholar working on Nephrology, Pulmonary and Respiratory Medicine, Genetics, Immunology and Genetics, having authored 23 papers that have together received 177 indexed citations. Recurring topics across this work include Renal Diseases and Glomerulopathies (8 papers), Vasculitis and related conditions (6 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (4 papers), Complement system in diseases (3 papers), Autoimmune Bullous Skin Diseases (2 papers), Blood disorders and treatments (2 papers), Systemic Lupus Erythematosus Research (2 papers) and Chronic Kidney Disease and Diabetes (2 papers). The work is most often cited by research in Nephrology (44 citations), Rheumatology (37 citations), Hepatology (19 citations), Immunology (44 citations) and Dermatology (14 citations). Koyal Jain has collaborated with scholars based in United States and Switzerland. Frequent co-authors include Ronald J. Falk, Vimal K. Derebail, Abhijit V. Kshirsagar, Akanksha Gupta, Amy K. Mottl, Harsharan K. Singh, Volker Nickeleit, Sascha A. Tuchman, Kenar D. Jhaveri and Gerald A. Hladik. Their work appears in journals such as Journal of the American Society of Nephrology, Kidney International, Journal of the American Academy of Dermatology, Clinical Journal of the American Society of Nephrology and JAMA.

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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