Sujan Ravi

716 citations
18 papers · 410 · h-index 8

Impact in

  • Hepatology top 5%
    • Hepatitis C virus research
    • Liver Disease and Transplantation
    • Hepatocellular Carcinoma Treatment and Prognosis
    • Liver Diseases and Immunity
  • Epidemiology top 10%
    • Liver Disease Diagnosis and Treatment
    • Hepatitis B Virus Studies

Papers in

    • Liver Disease Diagnosis and Treatment 6
    • Microscopic Colitis 4
    • Liver Disease and Transplantation 5

Sujan Ravi

16 papers receiving 407 citations

Peers

Sujan Ravi
Comparison fields: 5 of 62
  • Hepatology 191
  • Epidemiology 211
  • Endocrinology, Diabetes and Metabolism 34
  • Pathology and Forensic Medicine 36
  • Cancer Research 25
Replace Kunitaka Fukuizumi with:
Kunitaka Fukuizumi Japan
Eiji Tanaka Japan
Yuta Wakui Japan
Pir Ahmad Shah United States
Barbara Lei Italy
Naotaka Shimozato Japan
Tomohiro Katsumi Japan
Déborah Crespo Brazil
Kenta Takaura Japan
Mayu Higuchi Japan
Sujan Ravi relative to Kunitaka Fukuizumi Japan Kunitaka Fukuizumi's profile →
Citations per field
00.5×4.5×
Kunitaka Fukuizumi · 1×
Citations per year

Countries citing papers authored by Sujan Ravi

Since Specialization
Citations

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

Fields of papers citing papers by Sujan Ravi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2017182
2 202063
3 201839
4 201531
5 201727
6 201424
7 201618
8 202210
9 20215
10 20164
11 20232
12 20221
13 20201
14 20221
15 20171
16 20211
17 20230
18 20150

About Sujan Ravi

Sujan Ravi is a scholar working on Epidemiology, Hepatology, Pathology and Forensic Medicine, Oncology and Surgery, having authored 18 papers that have together received 410 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (6 papers), Liver Disease and Transplantation (5 papers), Microscopic Colitis (4 papers), Alcohol Consumption and Health Effects (3 papers), Hidradenitis Suppurativa and Treatments (2 papers), Gastrointestinal Bleeding Diagnosis and Treatment (2 papers), Inflammatory Bowel Disease (2 papers) and Colorectal Cancer Treatments and Studies (2 papers). The work is most often cited by research in Hepatology (191 citations), Epidemiology (211 citations), Endocrinology, Diabetes and Metabolism (34 citations), Pathology and Forensic Medicine (36 citations) and Cancer Research (25 citations). Sujan Ravi has collaborated with scholars based in United States, Mexico and India. Frequent co-authors include Ashwani K. Singal, Page Axley, Zunirah Ahmed, Theresa Hydes, Rohit Loomba, Meagan Gray, Mohamed Shoreibah, Joseph R. Bloomer, Evan Raff and Yong‐Fang Kuo. Their work appears in journals such as Gastroenterology, The American Journal of Gastroenterology, Digestive Diseases, Liver International and Digestive Diseases and Sciences.

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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