Wan Gu
Impact in
- Biological Psychiatry top 5%
- Tryptophan and brain disorders
- Physiology top 5%
- Diet and metabolism studies
- Dietary Effects on Health
Papers in
-
- Ginseng Biological Effects and Applications 3
- Genomics, phytochemicals, and oxidative stress 2
- Plant-derived Lignans Synthesis and Bioactivity 1
- Insect Resistance and Genetics 1
- Surgery 1
- Co-authors
- Kyung‐Ah Kim (6 shared papers)Dong‐Hyun Kim (6 shared papers)Eun‐Ha Joh (2 shared papers)In‐Ah Lee (3 shared papers)Se‐Eun Jang (2 shared papers)Myung Joo Han (2 shared papers)Dong‐Hyun Kim (1 shared paper)Supriya R. Hyam (2 shared papers)
- Journals
- Journal of Ginseng Research (2 papers)Biochemical Pharmacology (1 paper)Assembly Automation (1 paper)Biological and Pharmaceutical Bulletin (1 paper)European Journal of Pharmacology (1 paper)
- Partner nations
- South KoreaFranceChina
In The Last Decade
Wan Gu
10 papers receiving 1.6k citations
Wan Gu's Hit Papers
Peers
Comparison fields: 5 of 106
- Biological Psychiatry 95
- Physiology 441
- Molecular Biology 983
- Gastroenterology 69
- Pharmacology 110
Countries citing papers authored by Wan Gu
This map shows the geographic impact of Wan Gu'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 Wan Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wan Gu more than expected).
Fields of papers citing papers by Wan Gu
This network shows the impact of papers produced by Wan Gu. 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 Wan Gu. The network helps show where Wan Gu may publish in the future.
Co-authors
The 19 scholars most cited alongside Wan Gu, 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 | High Fat Diet-Induced Gut Microbiota Exacerbates Inflammation and Obesity in Mice via the TLR4 Signaling Pathway Hit paper breakdown → | 2012 | 972 |
| 2 | 2013 | 145 | |
| 3 | 2014 | 130 | |
| 4 | 2012 | 117 | |
| 5 | 2014 | 98 | |
| 6 | 2013 | 72 | |
| 7 | 2015 | 35 | |
| 8 | 2014 | 33 | |
| 9 | 2014 | 22 | |
| 10 | High-Yielding Cultural Approach for the Transgenic Hybrids of Bollworm Resistant Cotton by Transplanting Patterns | 2005 | 1 |
About Wan Gu
Wan Gu is a scholar working on Molecular Biology, Surgery, Automotive Engineering, Cellular and Molecular Neuroscience and Cardiology and Cardiovascular Medicine, having authored 10 papers that have together received 1.6k indexed citations. Recurring topics across this work include Ginseng Biological Effects and Applications (3 papers), Genomics, phytochemicals, and oxidative stress (2 papers), Biochemical effects in animals (1 paper), Ginger and Zingiberaceae research (1 paper), Plant-derived Lignans Synthesis and Bioactivity (1 paper), Research in Cotton Cultivation (1 paper), Insect Resistance and Genetics (1 paper) and Pediatric health and respiratory diseases (1 paper). The work is most often cited by research in Biological Psychiatry (95 citations), Physiology (441 citations), Molecular Biology (983 citations), Gastroenterology (69 citations) and Pharmacology (110 citations). Wan Gu has collaborated with scholars based in South Korea, France and China. Frequent co-authors include Kyung‐Ah Kim, Dong‐Hyun Kim, Eun‐Ha Joh, In‐Ah Lee, Se‐Eun Jang, Myung Joo Han, Dong‐Hyun Kim, Supriya R. Hyam, Jae-Yeon Woo and Yejin Kim. Their work appears in journals such as Journal of Ginseng Research, Biochemical Pharmacology, Assembly Automation, Biological and Pharmaceutical Bulletin and European Journal of Pharmacology.
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.