Se‐Ran Yang
Impact in
- Geriatrics and Gerontology top 2%
- Sirtuins and Resveratrol in Medicine
- Cancer Research top 10%
Papers in
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- Pluripotent Stem Cells Research 7
- Histone Deacetylase Inhibitors Research 6
- Genomics, phytochemicals, and oxidative stress 5
- Renal and related cancers 3
- Melanoma and MAPK Pathways 3
- Connexins and lens biology 3
-
- Biochemical effects in animals 4
- Co-authors
- Irfan Rahman (11 shared papers)Aruna Kode (5 shared papers)R. Saravanan (6 shared papers)Samuel Caito (6 shared papers)Ian L. Megson (1 shared paper)Sanjay B. Maggirwar (2 shared papers)Kathryn E. Seweryniak (1 shared paper)Nusrat Shafiq (1 shared paper)
- Journals
- Antioxidants and Redox Signaling (3 papers)In Vitro Cellular & Developmental Biology - Animal (3 papers)Cancer Letters (2 papers)The FASEB Journal (2 papers)American Journal of Physiology-Lung Cellular and Molecular Physiology (2 papers)
- Partner nations
- South KoreaUnited StatesUnited Kingdom
In The Last Decade
Se‐Ran Yang
44 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 113
- Geriatrics and Gerontology 115
- Cancer Research 212
- Molecular Biology 980
- Biochemistry 81
- Physiology 318
Countries citing papers authored by Se‐Ran Yang
This map shows the geographic impact of Se‐Ran Yang'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 Se‐Ran Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Se‐Ran Yang more than expected).
Fields of papers citing papers by Se‐Ran Yang
This network shows the impact of papers produced by Se‐Ran Yang. 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 Se‐Ran Yang. The network helps show where Se‐Ran Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Se‐Ran Yang, 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 394 | |
| 2 | 2007 | 367 | |
| 3 | 2006 | 217 | |
| 4 | 2012 | 131 | |
| 5 | 2008 | 121 | |
| 6 | 2007 | 114 | |
| 7 | 2008 | 77 | |
| 8 | 2008 | 75 | |
| 9 | 2004 | 60 | |
| 10 | 2006 | 54 | |
| 11 | 2004 | 44 | |
| 12 | 2018 | 35 | |
| 13 | 2014 | 35 | |
| 14 | 2012 | 33 | |
| 15 | 2010 | 29 | |
| 16 | 2006 | 25 | |
| 17 | 2005 | 24 | |
| 18 | 2018 | 23 | |
| 19 | 2018 | 23 | |
| 20 | 2007 | 23 |
About Se‐Ran Yang
Se‐Ran Yang is a scholar working on Molecular Biology, Physiology, Surgery, Geriatrics and Gerontology and Cancer Research, having authored 44 papers that have together received 2.1k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (7 papers), Histone Deacetylase Inhibitors Research (6 papers), Genomics, phytochemicals, and oxidative stress (5 papers), Biochemical effects in animals (4 papers), Sirtuins and Resveratrol in Medicine (4 papers), Renal and related cancers (3 papers), Melanoma and MAPK Pathways (3 papers) and Connexins and lens biology (3 papers). The work is most often cited by research in Geriatrics and Gerontology (115 citations), Cancer Research (212 citations), Molecular Biology (980 citations), Biochemistry (81 citations) and Physiology (318 citations). Se‐Ran Yang has collaborated with scholars based in South Korea, United States and United Kingdom. Frequent co-authors include Irfan Rahman, Aruna Kode, R. Saravanan, Samuel Caito, Ian L. Megson, Sanjay B. Maggirwar, Kathryn E. Seweryniak, Nusrat Shafiq, Asiya Seema Chida and Mark R. Bauter. Their work appears in journals such as Antioxidants and Redox Signaling, In Vitro Cellular & Developmental Biology - Animal, Cancer Letters, The FASEB Journal and American Journal of Physiology-Lung Cellular and Molecular Physiology.
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.