Shashi Adsul

28 papers receiving 404 citations

Peers

Shashi Adsul
Comparison fields: 5 of 44
  • Genetics 285
  • Health Informatics 6
  • Epidemiology 104
  • Infectious Diseases 36
  • Immunology 40
Replace Alejandro Hernández-Camba with:
Alejandro Hernández-Camba Spain
Sai Wei Chuah Singapore
Aurada Cholapranee United States
Mohamed Attauabi Denmark
Aimee Blake United Kingdom
Rhys Owain Butcher United Kingdom
Belén Botella Spain
Eric J. Mao United States
Dirk Demuth United States
Anneline Cremer Belgium
Shashi Adsul relative to Alejandro Hernández-Camba Spain Alejandro Hernández-Camba's profile →
Citations per field
00.5×1.5×1.9×
Alejandro Hernández-Camba · 1×
Citations per year

Countries citing papers authored by Shashi Adsul

Since Specialization
Citations

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

Fields of papers citing papers by Shashi Adsul

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201877
2 202166
3 202037
4 202332
5 202430
6 202420
7 201919
8 202019
9 202018
10 202015
11 202012
12 202411
13 20239
14 20249
15 20255
16 20204
17 20234
18 20254
19 20203
20 20243

About Shashi Adsul

Shashi Adsul is a scholar working on Genetics, Epidemiology, Immunology, Gastroenterology and Surgery, having authored 31 papers that have together received 409 indexed citations. Recurring topics across this work include Inflammatory Bowel Disease (25 papers), Microscopic Colitis (7 papers), Biosimilars and Bioanalytical Methods (3 papers), Celiac Disease Research and Management (2 papers), Anorectal Disease Treatments and Outcomes (2 papers), Diagnosis and treatment of tuberculosis (1 paper), Autoimmune and Inflammatory Disorders Research (1 paper) and Tuberculosis Research and Epidemiology (1 paper). The work is most often cited by research in Genetics (285 citations), Health Informatics (6 citations), Epidemiology (104 citations), Infectious Diseases (36 citations) and Immunology (40 citations). Shashi Adsul has collaborated with scholars based in United States, Switzerland and Canada. Frequent co-authors include Laurent Peyrin‐Biroulet, Silvio Danese, Deng‐Chyang Wu, Ida Normiha Hilmi, David A. Schwartz, Karen L. Lasch, Rupa Banerjee, Aimee Blake, Siew Chien Ng and Qasim Khan. Their work appears in journals such as Journal of Crohn s and Colitis, Inflammatory Bowel Diseases, Gastroenterology, Journal of Clinical Gastroenterology and The American Journal of Gastroenterology.

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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