Deok‐Soo Son
Impact in
- Reproductive Medicine top 5%
- Ovarian cancer diagnosis and treatment
- Immunology top 10%
- Reproductive System and Pregnancy
- Immune cells in cancer
Papers in
- Oncology 19
- Chemokine receptors and signaling 12
- Cytokine Signaling Pathways and Interactions 8
- Drug Transport and Resistance Mechanisms 5
- Immunology 14
- Reproductive System and Pregnancy 5
- Immunotherapy and Immune Responses 5
- Co-authors
- Eun-Sook Lee (25 shared papers)Paul F. Terranova (9 shared papers)Katherine F. Roby (8 shared papers)Samuel E. Adunyah (8 shared papers)Karl K. Rozman (3 shared papers)Rosa Mistica C. Ignacio (9 shared papers)Michael Aschner (8 shared papers)Dineo Khabele (2 shared papers)
- Journals
- Immune Network (6 papers)Oncotarget (4 papers)Glia (4 papers)PLoS ONE (3 papers)Endocrinology (3 papers)
- Partner nations
- United StatesJapanRussia
In The Last Decade
Deok‐Soo Son
44 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 102
- Reproductive Medicine 117
- Immunology 248
- Cancer Research 138
- Developmental Neuroscience 36
- Oncology 226
Countries citing papers authored by Deok‐Soo Son
This map shows the geographic impact of Deok‐Soo Son'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 Deok‐Soo Son with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deok‐Soo Son more than expected).
Fields of papers citing papers by Deok‐Soo Son
This network shows the impact of papers produced by Deok‐Soo Son. 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 Deok‐Soo Son. The network helps show where Deok‐Soo Son may publish in the future.
Co-authors
The 25 scholars most cited alongside Deok‐Soo Son, 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 | 2020 | 104 | |
| 2 | 2014 | 77 | |
| 3 | 2007 | 71 | |
| 4 | 2012 | 62 | |
| 5 | 1999 | 60 | |
| 6 | 2013 | 54 | |
| 7 | 2012 | 48 | |
| 8 | 2014 | 44 | |
| 9 | 2002 | 44 | |
| 10 | 2003 | 41 | |
| 11 | 2002 | 39 | |
| 12 | 2013 | 37 | |
| 13 | 2015 | 36 | |
| 14 | 2019 | 36 | |
| 15 | 2018 | 31 | |
| 16 | 2016 | 30 | |
| 17 | 2004 | 30 | |
| 18 | 2002 | 30 | |
| 19 | 2021 | 29 | |
| 20 | 2006 | 26 |
About Deok‐Soo Son
Deok‐Soo Son is a scholar working on Oncology, Immunology, Molecular Biology, Genetics and Pharmacology, having authored 44 papers that have together received 1.2k indexed citations. Recurring topics across this work include Chemokine receptors and signaling (12 papers), Cytokine Signaling Pathways and Interactions (8 papers), Estrogen and related hormone effects (6 papers), Antibiotics Pharmacokinetics and Efficacy (5 papers), Reproductive System and Pregnancy (5 papers), Immunotherapy and Immune Responses (5 papers), Drug Transport and Resistance Mechanisms (5 papers) and Neuroscience and Neuropharmacology Research (4 papers). The work is most often cited by research in Reproductive Medicine (117 citations), Immunology (248 citations), Cancer Research (138 citations), Developmental Neuroscience (36 citations) and Oncology (226 citations). Deok‐Soo Son has collaborated with scholars based in United States, Japan and Russia. Frequent co-authors include Eun-Sook Lee, Paul F. Terranova, Katherine F. Roby, Samuel E. Adunyah, Karl K. Rozman, Rosa Mistica C. Ignacio, Michael Aschner, Dineo Khabele, Valerie Montgomery Rice and Edward Pajarillo. Their work appears in journals such as Immune Network, Oncotarget, Glia, PLoS ONE and Endocrinology.
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.