Xiaolin Ni
Impact in
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- Cancer-related molecular mechanisms research
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- Pancreatic and Hepatic Oncology Research
- Cancer Immunotherapy and Biomarkers
Papers in ⓘ
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- RNA modifications and cancer 3
- Circular RNAs in diseases 2
- Genetics 7
- Diabetes and associated disorders 3
- Genetic Associations and Epidemiology 3
- Co-authors
- Dansong Wang (3 shared papers)Yefei Rong (3 shared papers)Wenchuan Wu (3 shared papers)Dayong Jin (3 shared papers)Wenhui Lou (2 shared papers)Xiaoquan Zhu (13 shared papers)Huiping Yuan (14 shared papers)Tiantao Kuang (2 shared papers)
- Journals
- Diabetes & Metabolic Syndrome Clinical Research & Reviews (2 papers)Diabetes Metabolic Syndrome and Obesity (2 papers)Aging (2 papers)Oncotarget (2 papers)PeerJ (2 papers)
- Partner nations
- ChinaNetherlandsUnited States
In The Last Decade
Xiaolin Ni
33 papers receiving 469 citations
Peers
Comparison fields: 5 of 96
- Cancer Research 129
- Oncology 124
- Immunology 85
- Aging 6
- Molecular Biology 175
Countries citing papers authored by Xiaolin Ni
This map shows the geographic impact of Xiaolin Ni'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 Xiaolin Ni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaolin Ni more than expected).
Fields of papers citing papers by Xiaolin Ni
This network shows the impact of papers produced by Xiaolin Ni. 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 Xiaolin Ni. The network helps show where Xiaolin Ni may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaolin Ni, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 78 | |
| 2 | 2016 | 52 | |
| 3 | 2010 | 50 | |
| 4 | 2021 | 49 | |
| 5 | 2014 | 35 | |
| 6 | 2022 | 27 | |
| 7 | 2013 | 24 | |
| 8 | 2017 | 23 | |
| 9 | 2020 | 19 | |
| 10 | 2015 | 16 | |
| 11 | 2022 | 12 | |
| 12 | 2023 | 9 | |
| 13 | 2015 | 9 | |
| 14 | 2021 | 7 | |
| 15 | 2023 | 6 | |
| 16 | 2023 | 6 | |
| 17 | 2021 | 6 | |
| 18 | 2022 | 5 | |
| 19 | 2015 | 5 | |
| 20 | 2021 | 5 |
About Xiaolin Ni
Xiaolin Ni is a scholar working on Molecular Biology, Genetics, Oncology, Epidemiology and Aging, having authored 34 papers that have together received 475 indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (4 papers), Diabetes and associated disorders (3 papers), Genetic Associations and Epidemiology (3 papers), RNA modifications and cancer (3 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers), Circular RNAs in diseases (2 papers), Immune Response and Inflammation (2 papers) and Health disparities and outcomes (2 papers). The work is most often cited by research in Cancer Research (129 citations), Oncology (124 citations), Immunology (85 citations), Aging (6 citations) and Molecular Biology (175 citations). Xiaolin Ni has collaborated with scholars based in China, Netherlands and United States. Frequent co-authors include Dansong Wang, Yefei Rong, Wenchuan Wu, Dayong Jin, Wenhui Lou, Xiaoquan Zhu, Huiping Yuan, Tiantao Kuang, Ze Yang and Liang Sun. Their work appears in journals such as Diabetes & Metabolic Syndrome Clinical Research & Reviews, Diabetes Metabolic Syndrome and Obesity, Aging, Oncotarget and PeerJ.
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.