Serpil Erdoğan

51 papers receiving 915 citations

Peers

Serpil Erdoğan
Comparison fields: 5 of 110
  • Epidemiology 250
  • Hepatology 53
  • Endocrine and Autonomic Systems 45
  • Obstetrics and Gynecology 52
  • Biological Psychiatry 15
Replace Sarita Agarwal with:
Sarita Agarwal India
Takeshi Suzuki Japan
Liz Simon United States
Ömer Özcan Türkiye
Daniel Kraus Germany
Rildo Aparecido Volpini Brazil
Horng-Yih Ou Taiwan
Claudia Florida Costea Romania
Serpil Erdoğan relative to Sarita Agarwal India Sarita Agarwal's profile →
Citations per field
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Citations per year

Countries citing papers authored by Serpil Erdoğan

Since Specialization
Citations

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

Fields of papers citing papers by Serpil Erdoğan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013112
2 202091
3 201469
4 202067
5 201567
6
Regional cerebral blood flow and cytokines in young females with fibromyalgia.
200357
7 201546
8 201337
9 201935
10 201334
11 200533
12 200732
13 201331
14 201330
15 201321
16 201520
17 201315
18 201215
19 201714
20 201813

About Serpil Erdoğan

Serpil Erdoğan is a scholar working on Epidemiology, Molecular Biology, Pulmonary and Respiratory Medicine, Oncology and Biochemistry, having authored 56 papers that have together received 934 indexed citations. Recurring topics across this work include Sulfur Compounds in Biology (6 papers), Liver Disease Diagnosis and Treatment (6 papers), Medical Imaging and Pathology Studies (4 papers), Inflammatory Biomarkers in Disease Prognosis (4 papers), Clinical Laboratory Practices and Quality Control (3 papers), Bone health and treatments (3 papers), Fibromyalgia and Chronic Fatigue Syndrome Research (3 papers) and Bone health and osteoporosis research (2 papers). The work is most often cited by research in Epidemiology (250 citations), Hepatology (53 citations), Endocrine and Autonomic Systems (45 citations), Obstetrics and Gynecology (52 citations) and Biological Psychiatry (15 citations). Serpil Erdoğan has collaborated with scholars based in Türkiye, United States and United Kingdom. Frequent co-authors include Özcan Erel, Fatma Uçar, Sümeyya Akyol, Ömer Akyol, Ferah Armutçu, Sevilay Sezer, Sema Uysal, Mehmet Turgut, Fatma Yılmaz and Mehmet Ayhan Karakoç. Their work appears in journals such as Redox Report, Modern Rheumatology, Scandinavian Journal of Clinical and Laboratory Investigation, Journal of Pineal Research and Journal of Bone and Mineral 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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