Sinem Beyhan

2.9k citations
40 papers · 2.1k · h-index 20

Impact in

Papers in

Sinem Beyhan

38 papers receiving 2.1k citations

Peers

Sinem Beyhan
Comparison fields: 5 of 110
  • Endocrinology 1.0k
  • Molecular Medicine 276
  • Molecular Biology 1.4k
  • Immunology 338
  • Genetics 411
Replace Anna D. Tischler with:
Anna D. Tischler United States
Tiago R. D. Costa United Kingdom
Ankur B. Dalia United States
Patricia Doublet France
Jessica A. Thompson Portugal
Nityananda Chowdhury United States
Phoebe Lostroh United States
Matthew B. Neiditch United States
Kimberly M. Brothers United States
Isabelle Vallet-Gély France
Sinem Beyhan relative to Anna D. Tischler United States Anna D. Tischler's profile →
Citations per field
00.5×1.5×1.9×
Anna D. Tischler · 1×
Citations per year

Countries citing papers authored by Sinem Beyhan

Since Specialization
Citations

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

Fields of papers citing papers by Sinem Beyhan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010324
2 2009155
3 2006153
4 2006149
5 2009147
6 2006141
7 2020114
8 200698
9 201394
10 202082
11 200881
12 200666
13 200660
14 201059
15 202055
16 200943
17 201640
18 201039
19 201937
20 202125

About Sinem Beyhan

Sinem Beyhan is a scholar working on Molecular Biology, Endocrinology, Epidemiology, Immunology and Infectious Diseases, having authored 40 papers that have together received 2.1k indexed citations. Recurring topics across this work include Vibrio bacteria research studies (16 papers), Fungal Infections and Studies (13 papers), Aquaculture disease management and microbiota (10 papers), Bacterial biofilms and quorum sensing (9 papers), Antifungal resistance and susceptibility (7 papers), Plant-Microbe Interactions and Immunity (4 papers), Plant Disease Resistance and Genetics (3 papers) and Antibiotic Resistance in Bacteria (3 papers). The work is most often cited by research in Endocrinology (1.0k citations), Molecular Medicine (276 citations), Molecular Biology (1.4k citations), Immunology (338 citations) and Genetics (411 citations). Sinem Beyhan has collaborated with scholars based in United States, Germany and South Africa. Frequent co-authors include Fitnat H. Yildiz, Bentley Lim, Andrew Camilli, Anna D. Tischler, Nicholas J. Shikuma, Jiunn C. N. Fong, Holger Sondermann, Petya V. Krasteva, M.V.A.S. Navarro and Anita Sil. Their work appears in journals such as Journal of Bacteriology, Journal of Fungi, Molecular Microbiology, Journal of Natural Products and mSystems.

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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