Bekir Cinar

28 papers receiving 1.2k citations

Peers

Bekir Cinar
Comparison fields: 5 of 72
  • Cell Biology 347
  • Cancer Research 218
  • Pulmonary and Respiratory Medicine 358
  • Genetics 105
  • Molecular Biology 610
Replace Sébastien Jeay with:
Sébastien Jeay Switzerland
Xuesong Ouyang United States
Hui-Kuan Lin United States
Yasir H. Ibrahim United States
Luis J. Leandro‐García Spain
Jacqueline S. Biscardi United States
Michal Grzmil Switzerland
Erik Wilker United States
Suyoun Chung Japan
Bárbara Sousa Portugal
Bekir Cinar relative to Sébastien Jeay Switzerland Sébastien Jeay's profile →
Citations per field
00.5×1.5×2.5×
Sébastien Jeay · 1×
Citations per year

Countries citing papers authored by Bekir Cinar

Since Specialization
Citations

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

Fields of papers citing papers by Bekir Cinar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007112
2 2007108
3 2013103
4 201590
5 200582
6 200775
7 201162
8 200559
9
Androgen receptor mediates the reduced tumor growth, enhanced androgen responsiveness, and selected target gene transactivation in a human prostate cancer cell line.
200159
10 200957
11 201250
12 200649
13 200745
14 200436
15 201135
16 201434
17 201734
18 200628
19 201527
20 201326

About Bekir Cinar

Bekir Cinar is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Cell Biology, Genetics and Oncology, having authored 28 papers that have together received 1.3k indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (13 papers), Hippo pathway signaling and YAP/TAZ (10 papers), Estrogen and related hormone effects (8 papers), Ubiquitin and proteasome pathways (6 papers), PI3K/AKT/mTOR signaling in cancer (5 papers), Cancer, Lipids, and Metabolism (4 papers), Cancer-related Molecular Pathways (2 papers) and Cholesterol and Lipid Metabolism (2 papers). The work is most often cited by research in Cell Biology (347 citations), Cancer Research (218 citations), Pulmonary and Respiratory Medicine (358 citations), Genetics (105 citations) and Molecular Biology (610 citations). Bekir Cinar has collaborated with scholars based in United States, Netherlands and Türkiye. Frequent co-authors include Michael R. Freeman, Nishit K. Mukhopadhyay, Rosalyn M. Adam, Dolores Di Vizio, Ahmet Alptekin, Michael L. Lu, Arrigo De Benedetti, Serhan Alkan, Keith R. Solomon and Mark A. Rubin. Their work appears in journals such as Cancer Research, Journal of Biological Chemistry, Leukemia Research, Biochemical and Biophysical Research Communications and Trends in Endocrinology and Metabolism.

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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