Seungha Kang
- Molecular Biology top 10%
- Genetics top 5%
- Infectious Diseases top 5%
- Food Science top 5%
- Nutrition and Dietetics top 5%
- Co-authors
- Christopher S. McSweeneyMark MorrisonMarion LeclercJoël DoréStuart E. DenmanZhongtang YuDaniel Aguirre de CárcerStanislas Mondot
- Topics
- Gut microbiota and health (24 papers)Inflammatory Bowel Disease (11 papers)Microscopic Colitis (10 papers)
- Journals
- The LancetGastroenterologyGut
- Partner nations
- AustraliaUnited StatesSouth Korea
In The Last Decade
Seungha Kang
55 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 115
- Molecular Biology 1.1k
- Genetics 351
- Infectious Diseases 294
- Food Science 266
- Nutrition and Dietetics 227
Countries citing papers authored by Seungha Kang
This map shows the geographic impact of Seungha Kang'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 Seungha Kang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seungha Kang more than expected).
Fields of papers citing papers by Seungha Kang
This network shows the impact of papers produced by Seungha Kang. 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 Seungha Kang. The network helps show where Seungha Kang may publish in the future.
Co-authorship network of co-authors of Seungha Kang
This figure shows the co-authorship network connecting the top 25 collaborators of Seungha Kang. A scholar is included among the top collaborators of Seungha Kang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Seungha Kang. Seungha Kang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 5 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 1 | |
| 6 | 47 | |
| 7 | 17 | |
| 8 | 16 | |
| 9 | Differentiation and capture of the human duodenal mucosa-associated microbiota by a novel ex vivo combination of microbe culture and metagenomic sequencing | 1 |
| 10 | 53 | |
| 11 | 10 | |
| 12 | 69 | |
| 13 | 288 | |
| 14 | 49 | |
| 15 | Application of numerical ecology methods to microarray data reveals obscured patterns in the mucosa-associated microbial community of the human colorectum | 1 |
| 16 | 42 | |
| 17 | 25 | |
| 18 | Cloning and Expression of Thermostable $\beta$-Glycosidase Gene from Thermus filiformis Wai33 A1 in Escherichia coli and Enzyme Characterization | 1 |
| 19 | Articles : Characterization of Protein Disulfide Isomerase during Lactoferrin Polypeptide Structural Maturation in the Endoplasmic Reticulum | 3 |
| 20 | 29 |
About Seungha Kang
Seungha Kang is a scholar working on Agronomy and Crop Science, Biotechnology and Biological Psychiatry, having authored 58 papers that have together received 1.7k indexed citations. Recurring topics across this work include Gut microbiota and health (24 papers), Inflammatory Bowel Disease (11 papers) and Microscopic Colitis (10 papers). The work is most often cited by research in Gastroenterology (179 citations), Agronomy and Crop Science (172 citations) and Infectious Diseases (294 citations). Seungha Kang has collaborated with scholars based in Australia, United States and South Korea. Frequent co-authors include Christopher S. McSweeney, Mark Morrison, Marion Leclerc, Joël Doré, Stuart E. Denman, Zhongtang Yu, Daniel Aguirre de Cárcer, Stanislas Mondot, J.P. Furet and Philippe Marteau. Their work appears in journals such as The Lancet, Gastroenterology and Gut.
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.