Adi Mor

1.5k citations
30 papers · 1.2k · h-index 15

Impact in

  • Immunology top 5%
    • Atherosclerosis and Cardiovascular Diseases
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immune cells in cancer
  • Hepatology top 10%
    • Liver Diseases and Immunity

Papers in

    • Immune Cell Function and Interaction 7
    • T-cell and B-cell Immunology 5
    • Liver Diseases and Immunity 4
    • Liver physiology and pathology 3

Adi Mor

30 papers receiving 1.2k citations

Peers

Adi Mor
Comparison fields: 5 of 83
  • Immunology 597
  • Hepatology 103
  • Cancer Research 167
  • Rheumatology 110
  • Oncology 162
Replace Sören Mucha with:
Sören Mucha Germany
A Fukatsu Japan
Sylvain Perruche France
Keiji Nakasho Japan
Sippie Huitema Netherlands
Lichen L. Teng China
Michihito Kono Japan
Xiangyang Dong United States
Racquel T. Corpuz United States
Elvira Favoino Italy
Adi Mor relative to Sören Mucha Germany Sören Mucha's profile →
Citations per field
00.5×2×2.8×
Sören Mucha · 1×
Citations per year

Countries citing papers authored by Adi Mor

Since Specialization
Citations

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

Fields of papers citing papers by Adi Mor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007298
2 2008232
3 2007199
4 199864
5 201956
6 202045
7 200944
8 200734
9 202331
10 200828
11 201124
12 201019
13 201218
14 199915
15 199615
16 201215
17 201815
18 201614
19 201011
20 20099

About Adi Mor

Adi Mor is a scholar working on Immunology, Hepatology, Pathology and Forensic Medicine, Oncology and Epidemiology, having authored 30 papers that have together received 1.2k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (7 papers), T-cell and B-cell Immunology (5 papers), Liver Diseases and Immunity (4 papers), Liver Disease Diagnosis and Treatment (4 papers), Diabetes and associated disorders (3 papers), Systemic Sclerosis and Related Diseases (3 papers), Cytokine Signaling Pathways and Interactions (3 papers) and Liver physiology and pathology (3 papers). The work is most often cited by research in Immunology (597 citations), Hepatology (103 citations), Cancer Research (167 citations), Rheumatology (110 citations) and Oncology (162 citations). Adi Mor has collaborated with scholars based in Israel, United Kingdom and United States. Frequent co-authors include Jacob George, Gad Keren, Galia Luboshits, Jeremy Ben‐Shoshan, Arnon B. Afek, David Planer, Tova Chajek-Shaul, Shula Metzger, Ardon Rubinstein and Karin Mausner-Fainberg. Their work appears in journals such as Lupus, European Journal of Immunology, European Journal of Pharmacology, Pain Research and Management and The American Journal of Gastroenterology.

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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