Eytan Mor

3.6k citations
109 papers · 2.6k · h-index 26

Impact in

    • Renal Transplantation Outcomes and Treatments
  • Hepatology top 0.5%
    • Liver Disease and Transplantation
    • Hepatitis C virus research

Papers in

    • Renal Transplantation Outcomes and Treatments 44
    • Organ Transplantation Techniques and Outcomes 31

Eytan Mor

106 papers receiving 2.5k citations

Peers

Eytan Mor
Comparison fields: 5 of 98
  • Transplantation 702
  • Hepatology 1.1k
  • Epidemiology 974
  • Surgery 865
  • Nephrology 122
Replace Stephen Pollard with:
Stephen Pollard United Kingdom
Seyed Ali Malek‐Hosseini Iran
Valentín Cuervas‐Mons Spain
Elizabeth B. Haagsma Netherlands
John O. Colonna United States
Sander Florman United States
Kevin C. Mange United States
Amadeo Marcos United States
Warren R. Maley United States
Kimberly A. Forde United States
Eytan Mor relative to Stephen Pollard United Kingdom Stephen Pollard's profile →
Citations per field
00.5×1.5×
Stephen Pollard · 1×
Citations per year

Countries citing papers authored by Eytan Mor

Since Specialization
Citations

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

Fields of papers citing papers by Eytan Mor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 109 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995304
2 2010188
3 1998165
4 1995159
5 2010115
6 199285
7 200664
8 200160
9 199458
10 200357
11 201755
12 202155
13 200352
14 200450
15 200444
16 200143
17 201740
18 201936
19 200136
20 202135

About Eytan Mor

Eytan Mor is a scholar working on Transplantation, Surgery, Epidemiology, Hepatology and Public Health, Environmental and Occupational Health, having authored 109 papers that have together received 2.6k indexed citations. Recurring topics across this work include Renal Transplantation Outcomes and Treatments (44 papers), Organ Transplantation Techniques and Outcomes (31 papers), Organ Donation and Transplantation (16 papers), Liver Disease Diagnosis and Treatment (15 papers), Hepatitis C virus research (13 papers), Hepatitis B Virus Studies (10 papers), Cytomegalovirus and herpesvirus research (10 papers) and Liver Disease and Transplantation (10 papers). The work is most often cited by research in Transplantation (702 citations), Hepatology (1.1k citations), Epidemiology (974 citations), Surgery (865 citations) and Nephrology (122 citations). Eytan Mor has collaborated with scholars based in Israel, United States and Belgium. Frequent co-authors include Myron Schwartz, Patricia A. Sheiner, Charles M. Miller, Ruth Rahamimov, Sukru Emre, Leona Kim Schluger, Jaqueline Sulkes, Marius Braun, N Bar-Nathan and Ziv Ben‐Ari. Their work appears in journals such as Transplantation, Clinical Transplantation, Transplant International, Pediatric Transplantation and Liver Transplantation.

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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