Halil Bişğin
Impact in
- Pharmacology top 5%
- Pharmacogenetics and Drug Metabolism
- Drug-Induced Hepatotoxicity and Protection
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- Computational Drug Discovery Methods
Papers in ⓘ
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- Biomedical Text Mining and Ontologies 4
- Metabolomics and Mass Spectrometry Studies 3
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- Network Security and Intrusion Detection 5
- Co-authors
- Weida Tong (10 shared papers)Hong Fang (5 shared papers)Nitin Agarwal (4 shared papers)Xiaowei Xu (3 shared papers)Xiaowei Xu (4 shared papers)Zhichao Liu (2 shared papers)Reagan Kelly (3 shared papers)Minjun Chen (2 shared papers)
- Journals
- BMC Bioinformatics (4 papers)PLoS ONE (3 papers)Scientific Reports (2 papers)World Wide Web (1 paper)Biomarkers in Medicine (1 paper)
- Partner nations
- United StatesTürkiyeBosnia and Herzegovina
In The Last Decade
Halil Bişğin
35 papers receiving 697 citations
Peers
Comparison fields: 5 of 139
- Pharmacology 87
- Computational Theory and Mathematics 118
- Communication 51
- Toxicology 19
- Statistical and Nonlinear Physics 53
Countries citing papers authored by Halil Bişğin
This map shows the geographic impact of Halil Bişğin'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 Halil Bişğin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Halil Bişğin more than expected).
Fields of papers citing papers by Halil Bişğin
This network shows the impact of papers produced by Halil Bişğin. 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 Halil Bişğin. The network helps show where Halil Bişğin may publish in the future.
Co-authors
The 25 scholars most cited alongside Halil Bişğin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 100 | |
| 2 | 2014 | 96 | |
| 3 | 2011 | 84 | |
| 4 | 2012 | 56 | |
| 5 | 2011 | 55 | |
| 6 | 2010 | 55 | |
| 7 | 2019 | 48 | |
| 8 | 2020 | 46 | |
| 9 | 2014 | 30 | |
| 10 | 2021 | 20 | |
| 11 | 2018 | 14 | |
| 12 | 2014 | 13 | |
| 13 | 2020 | 12 | |
| 14 | 2016 | 10 | |
| 15 | 2013 | 10 | |
| 16 | 2017 | 8 | |
| 17 | 2023 | 7 | |
| 18 | 2017 | 6 | |
| 19 | 2022 | 5 | |
| 20 | 2018 | 5 |
About Halil Bişğin
Halil Bişğin is a scholar working on Molecular Biology, Computer Networks and Communications, Communication, Information Systems and Signal Processing, having authored 40 papers that have together received 717 indexed citations. Recurring topics across this work include Social Media and Politics (5 papers), Advanced Malware Detection Techniques (5 papers), Network Security and Intrusion Detection (5 papers), Computational Drug Discovery Methods (5 papers), Complex Network Analysis Techniques (4 papers), Opinion Dynamics and Social Influence (4 papers), Biomedical Text Mining and Ontologies (4 papers) and Metabolomics and Mass Spectrometry Studies (3 papers). The work is most often cited by research in Pharmacology (87 citations), Computational Theory and Mathematics (118 citations), Communication (51 citations), Toxicology (19 citations) and Statistical and Nonlinear Physics (53 citations). Halil Bişğin has collaborated with scholars based in United States, Türkiye and Bosnia and Herzegovina. Frequent co-authors include Weida Tong, Hong Fang, Nitin Agarwal, Xiaowei Xu, Xiaowei Xu, Zhichao Liu, Reagan Kelly, Minjun Chen, Zhichao Liu and Stewart F. Graham. Their work appears in journals such as BMC Bioinformatics, PLoS ONE, Scientific Reports, World Wide Web and Biomarkers in Medicine.
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.