Şeref Gül
Impact in
-
- Circadian rhythm and melatonin
- Aging top 10%
Papers in
-
- Circadian rhythm and melatonin 18
-
- Light effects on plants 16
- Plant Molecular Biology Research 2
- Co-authors
- İbrahim Halil Kavaklı (25 shared papers)İbrahim Barış (10 shared papers)Nuri Öztürk (8 shared papers)Alper Okyar (8 shared papers)Elif Nur Firat‐Karalar (1 shared paper)Metin Türkay (5 shared papers)Alexander V. Predeus (1 shared paper)Srinivasa M. Gopal (1 shared paper)
- Journals
- Journal of Biological Chemistry (5 papers)Scientific Reports (2 papers)Journal of Biomolecular Structure and Dynamics (2 papers)European Journal of Human Genetics (1 paper)Nature Communications (1 paper)
- Partner nations
- TürkiyeUnited StatesIndia
In The Last Decade
Şeref Gül
29 papers receiving 502 citations
Peers
Comparison fields: 5 of 88
- Endocrine and Autonomic Systems 202
- Aging 31
- Cellular and Molecular Neuroscience 87
- Plant Science 159
- Cell Biology 50
Countries citing papers authored by Şeref Gül
This map shows the geographic impact of Şeref Gül'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 Şeref Gül with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Şeref Gül more than expected).
Fields of papers citing papers by Şeref Gül
This network shows the impact of papers produced by Şeref Gül. 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 Şeref Gül. The network helps show where Şeref Gül may publish in the future.
Co-authors
The 25 scholars most cited alongside Şeref Gül, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 69 | |
| 2 | 2019 | 60 | |
| 3 | 2020 | 55 | |
| 4 | 2020 | 50 | |
| 5 | 2012 | 46 | |
| 6 | 2020 | 33 | |
| 7 | 2018 | 31 | |
| 8 | 2022 | 21 | |
| 9 | 2021 | 21 | |
| 10 | 2021 | 16 | |
| 11 | 2020 | 15 | |
| 12 | 2020 | 13 | |
| 13 | 2019 | 13 | |
| 14 | 2023 | 8 | |
| 15 | 2023 | 8 | |
| 16 | 2020 | 7 | |
| 17 | 2022 | 6 | |
| 18 | 2022 | 6 | |
| 19 | 2023 | 5 | |
| 20 | 2021 | 4 |
About Şeref Gül
Şeref Gül is a scholar working on Endocrine and Autonomic Systems, Plant Science, Molecular Biology, Cellular and Molecular Neuroscience and Pharmacology, having authored 31 papers that have together received 505 indexed citations. Recurring topics across this work include Circadian rhythm and melatonin (18 papers), Light effects on plants (16 papers), Photoreceptor and optogenetics research (5 papers), Photosynthetic Processes and Mechanisms (3 papers), Neurobiology and Insect Physiology Research (3 papers), Plant Molecular Biology Research (2 papers), Computational Drug Discovery Methods (2 papers) and Pharmacogenetics and Drug Metabolism (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (202 citations), Aging (31 citations), Cellular and Molecular Neuroscience (87 citations), Plant Science (159 citations) and Cell Biology (50 citations). Şeref Gül has collaborated with scholars based in Türkiye, United States and India. Frequent co-authors include İbrahim Halil Kavaklı, İbrahim Barış, Nuri Öztürk, Alper Okyar, Elif Nur Firat‐Karalar, Metin Türkay, Alexander V. Predeus, Srinivasa M. Gopal, Michael Feig and Cihan Aydın. Their work appears in journals such as Journal of Biological Chemistry, Scientific Reports, Journal of Biomolecular Structure and Dynamics, European Journal of Human Genetics and Nature Communications.
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.