Ben Vainer

129 papers receiving 4.4k citations

Peers

Ben Vainer
Comparison fields: 5 of 135
  • Hepatology 506
  • Immunology 735
  • Immunology and Allergy 203
  • Cancer Research 409
  • Oncology 735
Replace Matthias P. Ebert with:
Matthias P. Ebert Germany
Fritz Wrba Austria
Murray B. Resnick United States
Francesco Angelo Mauri Italy
Farshid Dayyani United States
Till Krech Germany
Takashi Kijima Japan
Carolin Mogler Germany
Kenji Sano Japan
Shuji Nomoto Japan
Ben Vainer relative to Matthias P. Ebert Germany Matthias P. Ebert's profile →
Citations per field
00.5×1.5×2.1×
Matthias P. Ebert · 1×
Citations per year

Countries citing papers authored by Ben Vainer

Since Specialization
Citations

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

Fields of papers citing papers by Ben Vainer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 130 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003213
2 2001170
3 2011158
4 2012153
5 2009130
6 2014123
7 2012110
8 2011110
9 1999104
10 201588
11 201488
12 201687
13 200684
14 201180
15 200079
16 201878
17 201774
18 201571
19 201466
20 200964

About Ben Vainer

Ben Vainer is a scholar working on Hepatology, Immunology and Allergy, Immunology, Pulmonary and Respiratory Medicine and Oncology, having authored 130 papers that have together received 4.5k indexed citations. Recurring topics across this work include Prostate Cancer Diagnosis and Treatment (18 papers), Cell Adhesion Molecules Research (15 papers), Inflammatory Bowel Disease (15 papers), Liver physiology and pathology (12 papers), Colorectal Cancer Treatments and Studies (10 papers), Hepatocellular Carcinoma Treatment and Prognosis (8 papers), Genetic factors in colorectal cancer (6 papers) and AI in cancer detection (5 papers). The work is most often cited by research in Hepatology (506 citations), Immunology (735 citations), Immunology and Allergy (203 citations), Cancer Research (409 citations) and Oncology (735 citations). Ben Vainer has collaborated with scholars based in Denmark, United States and Switzerland. Frequent co-authors include Ole Haagen Nielsen, M.A. Karsdal, Sanne Skovgård Veidal, Irena Kirman, Jørgen Rask-Madsen, Jakob Westergren Hendel, Jakob Benedict Seidelin, Efstathios Vassiliadis, Birgitte Grønkær Toft and Klaus Brasso. Their work appears in journals such as Apmis, Scandinavian Journal of Gastroenterology, Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin, Clinical Cancer Research 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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