Ilker Tunc

1.8k citations
39 papers · 683 · h-index 14

Impact in

    • Renal Transplantation Outcomes and Treatments
    • Cancer Genomics and Diagnostics
    • Cancer-related molecular mechanisms research

Papers in

Ilker Tunc

35 papers receiving 677 citations

Peers

Ilker Tunc
Comparison fields: 5 of 85
  • Transplantation 77
  • Cancer Research 109
  • Aging 11
  • Surgery 206
  • Physiology 20
Replace Sebastian Rademacher with:
Sebastian Rademacher Germany
Caroline Schönfeld Germany
Allison Ryan United States
Radhika Chadha United States
Isaac Rosado‐Sánchez Spain
Thomas Pham United States
Tiziana Del Beato Italy
Jin Zheng China
Masateru Uchiyama Japan
Jana Keil Germany
Ilker Tunc relative to Sebastian Rademacher Germany Sebastian Rademacher's profile →
Citations per field
00.5×6.1×
Sebastian Rademacher · 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 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202195
2 201882
3 202168
4 202160
5 202051
6 201750
7 202140
8 201732
9 201831
10 201824
11 201622
12 201222
13 201521
14 202014
15 202113
16 20209
17 20228
18 20148
19 20195
20 20174

About Ilker Tunc

Ilker Tunc is a scholar working on Surgery, Molecular Biology, Transplantation, Cancer Research and Oncology, having authored 39 papers that have together received 683 indexed citations. Recurring topics across this work include Transplantation: Methods and Outcomes (15 papers), Renal Transplantation Outcomes and Treatments (8 papers), Cancer Genomics and Diagnostics (5 papers), Organ Transplantation Techniques and Outcomes (4 papers), Complex Network Analysis Techniques (3 papers), Opinion Dynamics and Social Influence (3 papers), Polyomavirus and related diseases (2 papers) and Genetics, Aging, and Longevity in Model Organisms (2 papers). The work is most often cited by research in Transplantation (77 citations), Cancer Research (109 citations), Aging (11 citations), Surgery (206 citations) and Physiology (20 citations). Ilker Tunc has collaborated with scholars based in United States, Japan and Türkiye. Frequent co-authors include Mehdi Pirooznia, Sean Agbor-Enoh, Fayaz Seifuddin, Komudi Singh, Moon Kyoo Jang, Rosa Puertollano, Owen A. Brady, José A. Martina, Hyesik Kong and Steven D. Nathan. Their work appears in journals such as The Journal of Heart and Lung Transplantation, Frontiers in Genetics, Blood, Cancers and Nursing in Critical Care.

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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