Xin Gan
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria 6
- Endocrinology top 5%
- Enterobacteriaceae and Cronobacter Research 6
- Vibrio bacteria research studies 2
- Virology top 10%
- HIV Research and Treatment 3
- Food Science top 10%
- Salmonella and Campylobacter epidemiology 5
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- Bacteriophages and microbial interactions 4
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- Extracellular vesicles in disease 3
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- Viral gastroenteritis research and epidemiology 2
- Journals
- Frontiers in Microbiology (4 papers)Food Control (2 papers)Journal of Cellular and Molecular Medicine (2 papers)
- Partner nations
- ChinaIrelandUnited States
In The Last Decade
Xin Gan
25 papers receiving 754 citations
Hit Papers
Peers
Comparison fields: 5 of 72
- Molecular Medicine 123
- Endocrinology 111
- Virology 53
- Cancer Research 158
- Food Science 134
Countries citing papers authored by Xin Gan
This map shows the geographic impact of Xin Gan'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 Xin Gan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xin Gan more than expected).
Fields of papers citing papers by Xin Gan
This network shows the impact of papers produced by Xin Gan. 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 Xin Gan. The network helps show where Xin Gan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Xin Gan, 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 | 2025 | 0 | |
| 2 | A clinical-stage Nrf2 activator suppresses osteoclast differentiation via the iron-ornithine axisbreakdown → | 2024 | 48 |
| 3 | 2022 | 11 | |
| 4 | 2022 | 16 | |
| 5 | 2021 | 14 | |
| 6 | 2021 | 6 | |
| 7 | 2021 | 14 | |
| 8 | 2021 | 13 | |
| 9 | 2020 | 30 | |
| 10 | 2019 | 25 | |
| 11 | 2018 | 9 | |
| 12 | 2017 | 25 | |
| 13 | 2017 | 32 | |
| 14 | 2016 | 73 | |
| 15 | Drug resistant analysis of Cronobacter isolated from infant foods in 2012-2014 in China. | 2015 | 3 |
| 16 | 2014 | 12 | |
| 17 | 2012 | 13 | |
| 18 | 2011 | 52 | |
| 19 | Investigation of a Case of Food Poisoning Induced by Staphylococcus Aureus | 2008 | 2 |
| 20 | 2007 | 309 |
About Xin Gan
Xin Gan is a scholar working on Endocrinology, Molecular Medicine and Virology, having authored 27 papers that have together received 761 indexed citations. Recurring topics across this work include Enterobacteriaceae and Cronobacter Research (6 papers), Antibiotic Resistance in Bacteria (6 papers), Salmonella and Campylobacter epidemiology (5 papers), Bacteriophages and microbial interactions (4 papers), HIV Research and Treatment (3 papers), Extracellular vesicles in disease (3 papers), Viral gastroenteritis research and epidemiology (2 papers) and Vibrio bacteria research studies (2 papers). The work is most often cited by research in Molecular Medicine (123 citations), Endocrinology (111 citations) and Virology (53 citations). Xin Gan has collaborated with scholars based in China, Ireland and United States. Frequent co-authors include Stephen J. Gould, James C. Morrell, Yi Fang, Fengqin Li, Jin Xu, Shaofei Yan, Séamus Fanning, Yujie Hu, Li Bai and Haili Cheng. Their work appears in journals such as Frontiers in Microbiology, Food Control, Journal of Cellular and Molecular Medicine, Journal of Antimicrobial Chemotherapy and Cell Metabolism.
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.