Ilker Tunc

1.8k citations
51 papers · 1.3k · h-index 20

Impact in

    • Renal Transplantation Outcomes and Treatments
  • Immunology top 10%
    • Complement system in diseases
    • Mast cells and histamine

Papers in

    • Renal Transplantation Outcomes and Treatments 12
    • Transplantation: Methods and Outcomes 21
    • Organ Transplantation Techniques and Outcomes 4

Ilker Tunc

47 papers receiving 1.3k citations

Peers

Ilker Tunc
Comparison fields: 5 of 95
  • Transplantation 181
  • Immunology 254
  • Surgery 398
  • Cancer Research 116
  • Aging 13
Replace Sherri Chan Wood with:
Sherri Chan Wood United States
Ram Pyare Singh United States
Joris Vanderlocht Netherlands
Tracey Weiler United States
Cédric Louvet France
Ken-Ichiro Seino Japan
Scott M. Krummey United States
Thomas M. C. Binder Germany
Antonella Maffei Italy
Rhoanne C. McPherson United Kingdom
Ilker Tunc relative to Sherri Chan Wood United States Sherri Chan Wood's profile →
Citations per field
00.5×2×2.7×
Sherri Chan Wood · 1×
Citations per year

Countries citing papers authored by Ilker Tunc

Since Specialization
Citations

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

Fields of papers citing papers by Ilker Tunc

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021108
2 2019105
3 2021101
4 201895
5 201884
6 201882
7 201977
8 202171
9 202167
10 201756
11 202146
12 202244
13 201739
14 201837
15 201827
16 201725
17 201223
18 201623
19 201922
20 201521

About Ilker Tunc

Ilker Tunc is a scholar working on Transplantation, Surgery, Cancer Research, Statistical and Nonlinear Physics and Immunology, having authored 51 papers that have together received 1.3k indexed citations. Recurring topics across this work include Transplantation: Methods and Outcomes (21 papers), Renal Transplantation Outcomes and Treatments (12 papers), Cancer Genomics and Diagnostics (6 papers), Opinion Dynamics and Social Influence (4 papers), Organ Transplantation Techniques and Outcomes (4 papers), Complex Network Analysis Techniques (4 papers), Polyomavirus and related diseases (3 papers) and CRISPR and Genetic Engineering (3 papers). The work is most often cited by research in Transplantation (181 citations), Immunology (254 citations), Surgery (398 citations), Cancer Research (116 citations) and Aging (13 citations). Ilker Tunc has collaborated with scholars based in United States, Japan and Armenia. Frequent co-authors include Mehdi Pirooznia, Sean T. Agbor-Enoh, Fayaz Seifuddin, Moon Kyoo Jang, Komudi Singh, Hyesik Kong, Rosa Puertollano, Steven D. Nathan, Owen Adam Brady and José A. Martina. Their work appears in journals such as The Journal of Heart and Lung Transplantation, Frontiers in Genetics, Blood, Molecular Therapy and eLife.

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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