Hakan Erbaş

25 papers receiving 336 citations

Peers

Hakan Erbaş
Comparison fields: 5 of 69
  • Biochemistry 27
  • Cancer Research 49
  • Molecular Medicine 13
  • Dermatology 20
  • Pathology and Forensic Medicine 38
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Randall Rago United States
Ulrike A. Köhler Switzerland
Chung-Hsing Wang Taiwan
Maha E. Houssen Egypt
G Berge Norway
Virginie Fataccioli France
Hiroyoshi Konishi Japan
Steven Goldschmid United States
An-Sik Chung South Korea
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Citations per year

Countries citing papers authored by Hakan Erbaş

Since Specialization
Citations

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

Fields of papers citing papers by Hakan Erbaş

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200753
2 199653
3 200436
4 201229
5 200721
6 200820
7 200819
8 201519
9 200616
10
Transforming growth factor alpha, beta 1 and beta 2 in breast cyst fluid.
199512
11 201310
12 19958
13 19968
14
Latent forms of transforming growth factor-beta 2 (TGF-beta 2) in breast cyst fluid.
20007
15
The Antioxidant Effects of Taurine, Melatonin and N-Acetylcysteine in Cadmium-Induced Lung Injury
20076
16 20006
17 20224
18
Effect of breast cyst fluid on oestrone sulphatase activity in MCF-7 breast cancer cells.
19964
19 20083
20 20143

About Hakan Erbaş

Hakan Erbaş is a scholar working on Molecular Biology, Oncology, Pathology and Forensic Medicine, Biochemistry and Cancer Research, having authored 25 papers that have together received 345 indexed citations. Recurring topics across this work include TGF-β signaling in diseases (6 papers), Breast Lesions and Carcinomas (3 papers), Cancer Risks and Factors (3 papers), Estrogen and related hormone effects (2 papers), Cancer, Hypoxia, and Metabolism (2 papers), Vitamin C and Antioxidants Research (1 paper), Nitric Oxide and Endothelin Effects (1 paper) and Biochemical Acid Research Studies (1 paper). The work is most often cited by research in Biochemistry (27 citations), Cancer Research (49 citations), Molecular Medicine (13 citations), Dermatology (20 citations) and Pathology and Forensic Medicine (38 citations). Hakan Erbaş has collaborated with scholars based in Türkiye, United Kingdom and Pakistan. Frequent co-authors include Nurettin Aydoĝdu, Leslie C. Lai, Thomas W. J. Lennard, Ufuk Usta, R Peaston, Dikmen Dökmeci, Murat Birtane, Nurettin Taştekin, Mevlut Türe and Abdul K. Siraj. Their work appears in journals such as Pharmacological Research, Cancer Letters, The Journal of Clinical Endocrinology & Metabolism, Renal Failure and Pediatric Surgery International.

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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