Benjamin Avidan

111 papers receiving 2.8k citations

Peers

Benjamin Avidan
Comparison fields: 5 of 142
  • Gastroenterology 737
  • Health Informatics 111
  • Surgery 1.4k
  • Genetics 619
  • Molecular Medicine 107
Replace Jason K. Hou with:
Jason K. Hou United States
Hyuk Yoon South Korea
Kwong Ming Fock Singapore
Christian Schulz Germany
Edith Lahner Italy
Yoo Jin Lee South Korea
Joseph W. Windsor Canada
Hao Wu China
Pierpaolo Sileri Italy
Giovanni Marasco Italy
Benjamin Avidan relative to Jason K. Hou United States Jason K. Hou's profile →
Citations per field
00.5×11.9×
Jason K. Hou · 1×
Citations per year

Countries citing papers authored by Benjamin Avidan

Since Specialization
Citations

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

Fields of papers citing papers by Benjamin Avidan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 111 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015264
2 2002198
3 200483
4 200282
5 200775
6 200274
7 200574
8 202373
9 200773
10 200171
11 201266
12 202365
13 200162
14 200561
15 201659
16 202058
17 200157
18 200555
19 200147
20 200744

About Benjamin Avidan

Benjamin Avidan is a scholar working on Gastroenterology, Health Informatics, Surgery, Genetics and Oncology, having authored 111 papers that have together received 3.0k indexed citations. Recurring topics across this work include Inflammatory Bowel Disease (25 papers), Gastrointestinal disorders and treatments (16 papers), Eosinophilic Esophagitis (16 papers), Gastric Cancer Management and Outcomes (15 papers), Gastroesophageal reflux and treatments (15 papers), Colorectal Cancer Screening and Detection (15 papers), Microscopic Colitis (13 papers) and Edible Oils Quality and Analysis (13 papers). The work is most often cited by research in Gastroenterology (737 citations), Health Informatics (111 citations), Surgery (1.4k citations), Genetics (619 citations) and Molecular Medicine (107 citations). Benjamin Avidan has collaborated with scholars based in Israel, United States and Netherlands. Frequent co-authors include Amnon Sonnenberg, Stephen J. Sontag, Thomas Schnell, Simon Bar–Meir, Adi Lahat, Shomron Ben‐Horin, Yehuda Chowers, Uri Kopylov, Herma H. Fidder and Adrienne Metz. Their work appears in journals such as The American Journal of Gastroenterology, Digestive Diseases and Sciences, Clinical Gastroenterology and Hepatology, Therapeutic Advances in Gastroenterology and Alimentary Pharmacology & Therapeutics.

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.

Explore authors with similar magnitude of impact