Seunghee Cha
Impact in
- Periodontics top 1%
- Oral microbiology and periodontitis research
- Physiology top 2%
- Salivary Gland Disorders and Functions
Papers in
- Physiology 55
- Salivary Gland Disorders and Functions 55
- Genetics 21
- Diabetes and associated disorders 20
- Co-authors
- Kaleb M. Pauley (10 shared papers)Edward K. L. Chan (6 shared papers)Ammon B. Peck (10 shared papers)Michael G. Humphreys‐Beher (10 shared papers)A. B. Peck (7 shared papers)Adrienne E. Gauna (8 shared papers)Young‐Seok Park (3 shared papers)Jason Brayer (7 shared papers)
- Journals
- Scandinavian Journal of Immunology (3 papers)Oral Diseases (3 papers)Lara D. Veeken (3 papers)Molecular Immunology (3 papers)PLoS ONE (3 papers)
- Partner nations
- United StatesSouth KoreaEgypt
In The Last Decade
Seunghee Cha
78 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 114
- Periodontics 317
- Physiology 1.3k
- Cancer Research 476
- Immunology 666
- Rheumatology 336
Countries citing papers authored by Seunghee Cha
This map shows the geographic impact of Seunghee Cha'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 Seunghee Cha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seunghee Cha more than expected).
Fields of papers citing papers by Seunghee Cha
This network shows the impact of papers produced by Seunghee Cha. 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 Seunghee Cha. The network helps show where Seunghee Cha may publish in the future.
Co-authors
The 25 scholars most cited alongside Seunghee Cha, 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 80 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 414 | |
| 2 | 2011 | 174 | |
| 3 | 2004 | 133 | |
| 4 | 2011 | 127 | |
| 5 | 2002 | 115 | |
| 6 | 2014 | 103 | |
| 7 | 2000 | 101 | |
| 8 | 2006 | 94 | |
| 9 | 2002 | 85 | |
| 10 | 2008 | 83 | |
| 11 | 2004 | 76 | |
| 12 | 2001 | 75 | |
| 13 | 2015 | 71 | |
| 14 | 2013 | 61 | |
| 15 | Alleles from chromosomes 1 and 3 of NOD mice combine to influence Sjögren's syndrome-like autoimmune exocrinopathy. | 2000 | 60 |
| 16 | 2013 | 58 | |
| 17 | 2015 | 54 | |
| 18 | 2010 | 45 | |
| 19 | 2001 | 44 | |
| 20 | 2016 | 41 |
About Seunghee Cha
Seunghee Cha is a scholar working on Physiology, Genetics, Molecular Biology, Periodontics and Immunology, having authored 80 papers that have together received 2.7k indexed citations. Recurring topics across this work include Salivary Gland Disorders and Functions (55 papers), Diabetes and associated disorders (20 papers), Oral Health Pathology and Treatment (10 papers), Systemic Lupus Erythematosus Research (10 papers), Immune Response and Inflammation (9 papers), Salivary Gland Tumors Diagnosis and Treatment (8 papers), MicroRNA in disease regulation (7 papers) and Ocular Surface and Contact Lens (6 papers). The work is most often cited by research in Periodontics (317 citations), Physiology (1.3k citations), Cancer Research (476 citations), Immunology (666 citations) and Rheumatology (336 citations). Seunghee Cha has collaborated with scholars based in United States, South Korea and Egypt. Frequent co-authors include Kaleb M. Pauley, Edward K. L. Chan, Ammon B. Peck, Michael G. Humphreys‐Beher, A. B. Peck, Adrienne E. Gauna, Young‐Seok Park, Jason Brayer, Joseph Katz and Juehua Gao. Their work appears in journals such as Scandinavian Journal of Immunology, Oral Diseases, Lara D. Veeken, Molecular Immunology 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.