In‐Hwan Song
- Aging top 5%
- Urology top 5%
- Periodontal Regeneration and Treatments 3
- Genetics top 5%
- Mesenchymal stem cell research 10
- Cancer Research top 10%
- MicroRNA in disease regulation 3
- Molecular Biology top 10%
- Cell death mechanisms and regulation 8
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- Bone Tissue Engineering Materials 11
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- Dental Implant Techniques and Outcomes 8
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- Medicinal Plants and Neuroprotection 2
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- Tissue Engineering and Regenerative Medicine 2
- Co-authors
- James E. DennisEon‐Gi SungArnold I. CaplanJeen‐Woo ParkKyu‐Shik JeongWon Bae KimYoung Sup LeeYong‐Ou Kim
- Journals
- Journal of Biological Chemistry (2 papers)SHILAP Revista de lepidopterología (1 paper)Biochemical and Biophysical Research Communications (1 paper)
- Partner nations
- South KoreaUnited States
In The Last Decade
In‐Hwan Song
56 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 115
- Aging 44
- Urology 127
- Genetics 204
- Cancer Research 211
- Molecular Biology 696
Countries citing papers authored by In‐Hwan Song
This map shows the geographic impact of In‐Hwan Song'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 In‐Hwan Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites In‐Hwan Song more than expected).
Fields of papers citing papers by In‐Hwan Song
This network shows the impact of papers produced by In‐Hwan Song. 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 In‐Hwan Song. The network helps show where In‐Hwan Song may publish in the future.
Co-authorship network
The 25 scholars most cited alongside In‐Hwan Song, 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 | 2023 | 6 | |
| 2 | 2021 | 8 | |
| 3 | 2018 | 3 | |
| 4 | 2018 | 3 | |
| 5 | 2017 | 22 | |
| 6 | 2015 | 26 | |
| 7 | 2014 | 13 | |
| 8 | 2014 | 7 | |
| 9 | 2014 | 21 | |
| 10 | 2013 | 36 | |
| 11 | 2012 | 8 | |
| 12 | 2011 | 3 | |
| 13 | 2010 | 1 | |
| 14 | 2010 | 19 | |
| 15 | 2008 | 44 | |
| 16 | 2005 | 9 | |
| 17 | 2004 | 100 | |
| 18 | Effect of Leptin on the expression of lipopolysaccharide-induced chemokine KC mRNA in the mouse peritoneal macrophages | 2004 | 1 |
| 19 | Studies on Microbiological and Chemical Characteristics of Gamma-Irradiated Soybean Powder | 2002 | 1 |
| 20 | 2001 | 457 |
About In‐Hwan Song
In‐Hwan Song is a scholar working on Oral Surgery, Genetics and Aging, having authored 57 papers that have together received 1.5k indexed citations. Recurring topics across this work include Bone Tissue Engineering Materials (11 papers), Mesenchymal stem cell research (10 papers), Dental Implant Techniques and Outcomes (8 papers), Cell death mechanisms and regulation (8 papers), MicroRNA in disease regulation (3 papers), Periodontal Regeneration and Treatments (3 papers), Medicinal Plants and Neuroprotection (2 papers) and Tissue Engineering and Regenerative Medicine (2 papers). The work is most often cited by research in Aging (44 citations), Urology (127 citations) and Genetics (204 citations). In‐Hwan Song has collaborated with scholars based in South Korea and United States. Frequent co-authors include James E. Dennis, Eon‐Gi Sung, Arnold I. Caplan, Jeen‐Woo Park, Kyu‐Shik Jeong, Won Bae Kim, Young Sup Lee, Yong‐Ou Kim, Byoung J. Song and Seung‐Hee Jo. Their work appears in journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Biochemical and Biophysical Research 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.