Sühendan Ekmekçioglu

7.6k citations
47 papers · 2.4k indexed · h-index 28
Topics
CAR-T cell therapy research (10 papers)Melanoma and MAPK Pathways (9 papers)Cancer Immunotherapy and Biomarkers (9 papers)

In The Last Decade

Sühendan Ekmekçioglu

47 papers receiving 2.4k citations

Peers

Sühendan Ekmekçioglu
Comparison fields: 5 of 100
  • Oncology 1.1k
  • Molecular Biology 1.1k
  • Immunology 920
  • Genetics 606
  • Cancer Research 314
Replace Hidetoshi Sumimoto with:
Hidetoshi Sumimoto Japan
Namita Kundu United States
Soner Altiok United States
Yiyu Zou United States
Steven Grant United States
Luquan Wang United States
Ker Yu United States
Amy Roshak United States
Zhongmei Zhou China
Amy Moser United States
Sühendan Ekmekçioglu relative to Hidetoshi Sumimoto Japan Hidetoshi Sumimoto's profile →
Citations per field
00.5×
Hidetoshi Sumimoto · 1×
Citations per year

Countries citing papers authored by Sühendan Ekmekçioglu

Since Specialization
Citations

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

Fields of papers citing papers by Sühendan Ekmekçioglu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sühendan Ekmekçioglu

This figure shows the co-authorship network connecting the top 25 collaborators of Sühendan Ekmekçioglu. A scholar is included among the top collaborators of Sühendan Ekmekçioglu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sühendan Ekmekçioglu. Sühendan Ekmekçioglu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 35
2 2
3 12
4 1
5 113
6 72
7 80
8 73
9 37
10 107
11 187
12 7
13
Phase I trial with a novel orally administered synthetic triterpenoid RTA 402 (CDDO-Me) in patients with solid tumors and lymphoid malignancies
4
14 17
15 113
16 49
17 89
18
Negative association of melanoma differentiation-associated gene (mda-7) and inducible nitric oxide synthase (iNOS) in human melanoma: MDA-7 regulates iNOS expression in melanoma cells.
38
19 218
20 92

About Sühendan Ekmekçioglu

Sühendan Ekmekçioglu is a scholar working on Immunology, Oncology and Immunology and Allergy, having authored 47 papers that have together received 2.4k indexed citations. Recurring topics across this work include CAR-T cell therapy research (10 papers), Melanoma and MAPK Pathways (9 papers) and Cancer Immunotherapy and Biomarkers (9 papers). The work is most often cited by research in Immunology (920 citations), Oncology (1.1k citations) and Biotechnology (231 citations). Sühendan Ekmekçioglu has collaborated with scholars based in United States, Australia and Japan. Frequent co-authors include Elizabeth A. Grimm, Julie A. Ellerhorst, Sunil Chada, Víctor G. Prieto, Jason Roszik, Abner M. Mhashilkar, Nancy Poı̀ndexter, John B. Mumm, Rajagopal Ramesh and Andrew G. Sikora. Their work appears in journals such as Journal of Clinical Oncology, The Journal of Immunology and Cancer Research.

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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