Sang‐In Kim
- Oncology top 10%
- CAR-T cell therapy research 15
- Peptidase Inhibition and Analysis 4
- Genetics top 5%
- Virus-based gene therapy research 19
- Genetic diversity and population structure 5
- Biotechnology top 5%
- Cancer Research and Treatments 7
- Biochemistry top 10%
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- Epigenetics and DNA Methylation 5
- DNA Repair Mechanisms 4
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- Viral gastroenteritis research and epidemiology 4
- Co-authors
- Kyung‐Sik SongYuman FongNanhai G. ChenAnthony K. ParkJianming LüShyambabu ChaurasiyaYanghee WooSusanne G. Warner
- Cited by
- OncologyGeneticsBiotechnology
- Journals
- Nucleic Acids Research (2 papers)SHILAP Revista de lepidopterología (1 paper)PLoS ONE (1 paper)
- Partner nations
- United StatesSouth KoreaJapan
In The Last Decade
Sang‐In Kim
56 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 99
- Oncology 418
- Genetics 380
- Biotechnology 101
- Immunology 173
- Biochemistry 44
Countries citing papers authored by Sang‐In Kim
This map shows the geographic impact of Sang‐In Kim'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 Sang‐In Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sang‐In Kim more than expected).
Fields of papers citing papers by Sang‐In Kim
This network shows the impact of papers produced by Sang‐In Kim. 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 Sang‐In Kim. The network helps show where Sang‐In Kim may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sang‐In Kim, 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 | 2024 | 6 | |
| 2 | 2023 | 2 | |
| 3 | 2023 | 2 | |
| 4 | 2021 | 5 | |
| 5 | 2021 | 21 | |
| 6 | 2021 | 10 | |
| 7 | 2020 | 27 | |
| 8 | 2019 | 7 | |
| 9 | 2018 | 19 | |
| 10 | 2014 | 11 | |
| 11 | 2014 | 5 | |
| 12 | 2011 | 21 | |
| 13 | 2010 | 25 | |
| 14 | 2009 | 2 | |
| 15 | 2006 | 104 | |
| 16 | Prevalence of Osteopenia in Female HBV Carriers and its Correlation with Liver Function Test | 2005 | 1 |
| 17 | Neuraminidase inhibitors from mushroom Microphorus affinis | 2003 | 5 |
| 18 | 2002 | 20 | |
| 19 | $1,2,3,4,6-Pentagalloyl-{\bata}-D-Glucopyranose$, A Prolyl Endopeptidase Inhibitor from Moutan Cortex | 2000 | 5 |
| 20 | Prolyl Endopeptidase-inhibiting Isoflavonoids from Puerariae Flos and Some Revision of their $^{13}C-NMR$ Assignment | 1999 | 2 |
About Sang‐In Kim
Sang‐In Kim is a scholar working on Biotechnology, Genetics and Oncology, having authored 56 papers that have together received 1.1k indexed citations. Recurring topics across this work include Virus-based gene therapy research (19 papers), CAR-T cell therapy research (15 papers), Cancer Research and Treatments (7 papers), Epigenetics and DNA Methylation (5 papers), Genetic diversity and population structure (5 papers), DNA Repair Mechanisms (4 papers), Peptidase Inhibition and Analysis (4 papers) and Viral gastroenteritis research and epidemiology (4 papers). The work is most often cited by research in Oncology (418 citations), Genetics (380 citations) and Biotechnology (101 citations). Sang‐In Kim has collaborated with scholars based in United States, South Korea and Japan. Frequent co-authors include Kyung‐Sik Song, Yuman Fong, Nanhai G. Chen, Anthony K. Park, Jianming Lü, Shyambabu Chaurasiya, Yanghee Woo, Susanne G. Warner, Inhye Park and Saul J. Priceman. Their work appears in journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and PLoS ONE.
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.