Xinna Li
Impact in
- Aging top 0.5%
- Genetics, Aging, and Longevity in Model Organisms
- Microbiology top 1%
- Antimicrobial Peptides and Activities
Papers in
-
- Mitochondrial Function and Pathology 3
- Immunology 10
- Invertebrate Immune Response Mechanisms 7
- Aquaculture disease management and microbiota 4
- Co-authors
- Dipika Gupta (9 shared papers)Roman Dziarski (8 shared papers)Richard A. Miller (15 shared papers)Shiyong Wang (5 shared papers)Jin Qi (3 shared papers)Min Hui Wang (3 shared papers)Xiaofeng Lu (2 shared papers)Mu Wang (3 shared papers)
- Journals
- GeroScience (5 papers)Aging Cell (4 papers)Journal of Biological Chemistry (3 papers)Infection and Immunity (2 papers)Cell Host & Microbe (2 papers)
- Partner nations
- United StatesChinaTaiwan
In The Last Decade
Xinna Li
40 papers receiving 2.0k citations
Xinna Li's Hit Papers
Peers
Comparison fields: 5 of 118
- Aging 360
- Microbiology 354
- Immunology 751
- Endocrine and Autonomic Systems 146
- Endocrinology 95
Countries citing papers authored by Xinna Li
This map shows the geographic impact of Xinna Li'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 Xinna Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xinna Li more than expected).
Fields of papers citing papers by Xinna Li
This network shows the impact of papers produced by Xinna Li. 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 Xinna Li. The network helps show where Xinna Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Xinna Li, 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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 430 | |
| 2 | 2003 | 194 | |
| 3 | 2005 | 187 | |
| 4 | 2007 | 119 | |
| 5 | 2010 | 108 | |
| 6 | The mechanism of ferroptosis and its related diseases Hit paper breakdown → | 2023 | 106 |
| 7 | 2007 | 103 | |
| 8 | 2009 | 84 | |
| 9 | 2014 | 70 | |
| 10 | 2005 | 61 | |
| 11 | 2013 | 59 | |
| 12 | 2014 | 54 | |
| 13 | 2016 | 50 | |
| 14 | 2005 | 43 | |
| 15 | 2011 | 40 | |
| 16 | 2018 | 34 | |
| 17 | 2006 | 31 | |
| 18 | 2012 | 29 | |
| 19 | 2020 | 21 | |
| 20 | 2012 | 20 |
About Xinna Li
Xinna Li is a scholar working on Molecular Biology, Immunology, Physiology, Epidemiology and Microbiology, having authored 43 papers that have together received 2.0k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (8 papers), Invertebrate Immune Response Mechanisms (7 papers), Antimicrobial Peptides and Activities (7 papers), Genetics, Aging, and Longevity in Model Organisms (5 papers), Adipokines, Inflammation, and Metabolic Diseases (4 papers), Aquaculture disease management and microbiota (4 papers), Circadian rhythm and melatonin (3 papers) and Mitochondrial Function and Pathology (3 papers). The work is most often cited by research in Aging (360 citations), Microbiology (354 citations), Immunology (751 citations), Endocrine and Autonomic Systems (146 citations) and Endocrinology (95 citations). Xinna Li has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Dipika Gupta, Roman Dziarski, Richard A. Miller, Shiyong Wang, Jin Qi, Min Hui Wang, Xiaofeng Lu, Mu Wang, Minhui Wang and Elizabeth Fernández. Their work appears in journals such as GeroScience, Aging Cell, Journal of Biological Chemistry, Infection and Immunity and Cell Host & Microbe.
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.