Avi Rotem

2.5k citations
25 papers · 1.5k · h-index 20

Impact in

  • Hepatology top 2%
    • Liver physiology and pathology
  • Surgery top 2%
    • Pancreatic function and diabetes
    • Tissue Engineering and Regenerative Medicine
    • Xenotransplantation and immune response

Papers in

Avi Rotem

25 papers receiving 1.4k citations

Peers

Avi Rotem
Comparison fields: 5 of 101
  • Hepatology 257
  • Surgery 926
  • Endocrinology, Diabetes and Metabolism 333
  • Genetics 324
  • Biomedical Engineering 339
Replace Susumu Ito with:
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Senlin Li China
Armand M. Karow United States
J Etienne France
Lu Shan United States
Christina M. Sorensen United States
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Avi Rotem relative to Susumu Ito Japan Susumu Ito's profile →
Citations per field
00.5×10.7×
Susumu Ito · 1×
Citations per year

Countries citing papers authored by Avi Rotem

Since Specialization
Citations

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

Fields of papers citing papers by Avi Rotem

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013196
2 2017141
3 1992125
4 1992119
5 2016100
6 199486
7 198882
8 201081
9 199476
10 201562
11 201858
12 198147
13 198345
14 198643
15 201339
16 201539
17 201435
18 201634
19 198228
20 201626

About Avi Rotem

Avi Rotem is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism, Hepatology, Genetics and Spectroscopy, having authored 25 papers that have together received 1.5k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (9 papers), Diabetes Management and Research (6 papers), Xenotransplantation and immune response (5 papers), Diabetes and associated disorders (4 papers), Liver physiology and pathology (4 papers), Algal biology and biofuel production (4 papers), Spectroscopy and Laser Applications (4 papers) and Seaweed-derived Bioactive Compounds (3 papers). The work is most often cited by research in Hepatology (257 citations), Surgery (926 citations), Endocrinology, Diabetes and Metabolism (333 citations), Genetics (324 citations) and Biomedical Engineering (339 citations). Avi Rotem has collaborated with scholars based in United States, Germany and Israel. Frequent co-authors include Uriel Barkai, Ronald G. Tompkins, Martin L. Yarmush, Salman Rosenwaks, Mehmet Toner, Stefan R. Bornstein, Shoshana Arad, Paul de Vos, Baruch Zimerman and Barbara Ludwig. Their work appears in journals such as Xenotransplantation, Hormone and Metabolic Research, Proceedings of the National Academy of Sciences, Journal of Phycology and Biotechnology and Bioengineering.

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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