Jamil Azzi

3.9k citations
94 papers · 2.2k · h-index 27

Impact in

    • Renal Transplantation Outcomes and Treatments
  • Immunology top 5%
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • T-cell and B-cell Immunology

Papers in

    • Renal Transplantation Outcomes and Treatments 26
    • Organ and Tissue Transplantation Research 7
    • Immune Cell Function and Interaction 17
    • Immunotherapy and Immune Responses 16
    • T-cell and B-cell Immunology 16

Jamil Azzi

86 papers receiving 2.2k citations

Peers

Jamil Azzi
Comparison fields: 5 of 110
  • Transplantation 417
  • Immunology 501
  • Genetics 191
  • Oncology 346
  • Infectious Diseases 198
Replace Giorgio Raimondi with:
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Citations per field
00.5×2.8×
Giorgio Raimondi · 1×
Citations per year

Countries citing papers authored by Jamil Azzi

Since Specialization
Citations

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

Fields of papers citing papers by Jamil Azzi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 94 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013233
2 2010122
3 2017116
4 202095
5 201587
6 201687
7 201785
8 202281
9 201069
10 201664
11 201564
12 201157
13 201856
14 201249
15 201647
16 201745
17 201739
18 201438
19 201037
20 202235

About Jamil Azzi

Jamil Azzi is a scholar working on Transplantation, Immunology, Surgery, Molecular Biology and Oncology, having authored 94 papers that have together received 2.2k indexed citations. Recurring topics across this work include Renal Transplantation Outcomes and Treatments (26 papers), Immune Cell Function and Interaction (17 papers), Immunotherapy and Immune Responses (16 papers), T-cell and B-cell Immunology (16 papers), Organ and Tissue Transplantation Research (7 papers), Transplantation: Methods and Outcomes (7 papers), Organ Transplantation Techniques and Outcomes (7 papers) and SARS-CoV-2 and COVID-19 Research (6 papers). The work is most often cited by research in Transplantation (417 citations), Immunology (501 citations), Genetics (191 citations), Oncology (346 citations) and Infectious Diseases (198 citations). Jamil Azzi has collaborated with scholars based in United States, Netherlands and Italy. Frequent co-authors include Mohamed H. Sayegh, Samir Mallat, Reza Abdi, Leonardo V. Riella, Robert F. Moore, Paolo Fiorina, Siawosh K. Eskandari, Mollie Jurewicz, Sunmi Yang and Marwan Mounayar. Their work appears in journals such as American Journal of Transplantation, Frontiers in Immunology, JCI Insight, Journal of Clinical Investigation and The Journal of Immunology.

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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