Serhat Güler

26 papers receiving 181 citations

Peers

Serhat Güler
Comparison fields: 5 of 53
  • Neurology 27
  • Clinical Biochemistry 10
  • Epidemiology 36
  • Psychiatry and Mental health 15
  • Cardiology and Cardiovascular Medicine 22
Replace Prahlad Kumar Sethi with:
Prahlad Kumar Sethi India
Felix Kleefeld Germany
Rogelio Simón de las Heras Spain
Yuichi Takami Japan
Silvana De Lucia France
Yoshinobu Oyazato Japan
Yuxiong Guo China
Rita Indirli Italy
Oluwaseun A. Sobowale United Kingdom
Serhat Güler relative to Prahlad Kumar Sethi India Prahlad Kumar Sethi's profile →
Citations per field
00.5×2×4×5.5×
Prahlad Kumar Sethi · 1×
Citations per year

Countries citing papers authored by Serhat Güler

Since Specialization
Citations

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

Fields of papers citing papers by Serhat Güler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201426
2 201622
3 201115
4 200713
5 201713
6 202010
7 201610
8 20179
9 20179
10 20138
11 20137
12 20146
13 20236
14 20205
15 20185
16 20184
17 20144
18 20152
19 20242
20 20242

About Serhat Güler

Serhat Güler is a scholar working on Clinical Biochemistry, Psychiatry and Mental health, Pediatrics, Perinatology and Child Health, Neurology and Pathology and Forensic Medicine, having authored 31 papers that have together received 187 indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (3 papers), Epilepsy research and treatment (3 papers), RNA regulation and disease (3 papers), Metabolism and Genetic Disorders (3 papers), Cancer-related molecular mechanisms research (2 papers), Cardiovascular Syncope and Autonomic Disorders (2 papers), Genomics and Phylogenetic Studies (1 paper) and Tuberous Sclerosis Complex Research (1 paper). The work is most often cited by research in Neurology (27 citations), Clinical Biochemistry (10 citations), Epidemiology (36 citations), Psychiatry and Mental health (15 citations) and Cardiology and Cardiovascular Medicine (22 citations). Serhat Güler has collaborated with scholars based in Türkiye, United Kingdom and United States. Frequent co-authors include Akın İşcan, Gözde Yeşil, Burak Tatlı, Alpay Alkan, Ayşe Aralaşmak, Hasan Önal, Sema Saltık, Serpil Kurtcan, Andreas Tuerk and Sinem Gürkan Aydın. Their work appears in journals such as Neuropediatrics, Multiple Sclerosis and Related Disorders, Journal of Child Neurology, Brain and Development and European Journal of Paediatric Neurology.

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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