Sezin Dağdeviren
Impact in
- Rehabilitation top 10%
- Exercise and Physiological Responses
Papers in
- Epidemiology 11
- Adipokines, Inflammation, and Metabolic Diseases 10
- Liver Disease Diagnosis and Treatment 2
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- Metabolism, Diabetes, and Cancer 4
- Redox biology and oxidative stress 2
- Muscle Physiology and Disorders 2
- Pluripotent Stem Cells Research 1
- Co-authors
- Jason K. Kim (11 shared papers)Hye Lim Noh (6 shared papers)Randall H. Friedline (7 shared papers)Dae Young Jung (4 shared papers)Jung Yeon Kwon (3 shared papers)Nicholas Tsitsilianos (3 shared papers)Payal R. Patel (3 shared papers)Xiaodi Hu (4 shared papers)
- Journals
- The FASEB Journal (3 papers)Journal of Biological Chemistry (2 papers)Nature Communications (1 paper)Cell stem cell (1 paper)Antioxidants and Redox Signaling (1 paper)
- Partner nations
- United StatesSouth KoreaGermany
In The Last Decade
Sezin Dağdeviren
18 papers receiving 574 citations
Peers
Comparison fields: 5 of 69
- Aging 13
- Rehabilitation 30
- Epidemiology 130
- Endocrinology, Diabetes and Metabolism 53
- Biochemistry 18
Countries citing papers authored by Sezin Dağdeviren
This map shows the geographic impact of Sezin Dağdeviren'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 Sezin Dağdeviren with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sezin Dağdeviren more than expected).
Fields of papers citing papers by Sezin Dağdeviren
This network shows the impact of papers produced by Sezin Dağdeviren. 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 Sezin Dağdeviren. The network helps show where Sezin Dağdeviren may publish in the future.
Co-authors
The 25 scholars most cited alongside Sezin Dağdeviren, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 129 | |
| 2 | 2016 | 61 | |
| 3 | 2019 | 51 | |
| 4 | 2021 | 50 | |
| 5 | 2013 | 43 | |
| 6 | 2020 | 39 | |
| 7 | 2016 | 36 | |
| 8 | 2017 | 33 | |
| 9 | 2017 | 31 | |
| 10 | 2011 | 22 | |
| 11 | 2020 | 18 | |
| 12 | 2022 | 17 | |
| 13 | 2024 | 14 | |
| 14 | 2015 | 12 | |
| 15 | 2020 | 9 | |
| 16 | 2023 | 8 | |
| 17 | 2010 | 7 | |
| 18 | 2025 | 1 |
About Sezin Dağdeviren
Sezin Dağdeviren is a scholar working on Epidemiology, Molecular Biology, Surgery, Endocrinology, Diabetes and Metabolism and Physiology, having authored 18 papers that have together received 581 indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (10 papers), Metabolism, Diabetes, and Cancer (4 papers), Pancreatic function and diabetes (3 papers), Liver Disease Diagnosis and Treatment (2 papers), Adipose Tissue and Metabolism (2 papers), Redox biology and oxidative stress (2 papers), Muscle Physiology and Disorders (2 papers) and Pluripotent Stem Cells Research (1 paper). The work is most often cited by research in Aging (13 citations), Rehabilitation (30 citations), Epidemiology (130 citations), Endocrinology, Diabetes and Metabolism (53 citations) and Biochemistry (18 citations). Sezin Dağdeviren has collaborated with scholars based in United States, South Korea and Germany. Frequent co-authors include Jason K. Kim, Hye Lim Noh, Randall H. Friedline, Dae Young Jung, Jung Yeon Kwon, Nicholas Tsitsilianos, Payal R. Patel, Xiaodi Hu, Richard Theodore Lee and Michael Czech. Their work appears in journals such as The FASEB Journal, Journal of Biological Chemistry, Nature Communications, Cell stem cell and Antioxidants and Redox Signaling.
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.