Xumin Ni
Impact in
-
- Forensic and Genetic Research
- Genetic diversity and population structure
- Genetic Associations and Epidemiology
- Genetic and phenotypic traits in livestock
- Genetic Mapping and Diversity in Plants and Animals
- Archeology top 10%
- Forensic Anthropology and Bioarchaeology Studies
Papers in
- Genetics 11
- Forensic and Genetic Research 8
- Genetic diversity and population structure 6
- Genetic Associations and Epidemiology 5
- Evolution and Genetic Dynamics 2
- Co-authors
- Kai Yuan (10 shared papers)Shuhua Xu (10 shared papers)Zhi-Ming Ma (4 shared papers)Chang Liu (5 shared papers)Xiong Yang (4 shared papers)Wei Guo (5 shared papers)Ying Zhou (3 shared papers)Qidi Feng (2 shared papers)
- Journals
- Briefings in Bioinformatics (2 papers)Scientific Reports (2 papers)Frontiers in Genetics (1 paper)Quantitative Biology (1 paper)Nature Communications (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Xumin Ni
16 papers receiving 173 citations
Peers
Comparison fields: 5 of 48
- Genetics 84
- Archeology 21
- Paleontology 14
- Infectious Diseases 30
- Anthropology 17
Countries citing papers authored by Xumin Ni
This map shows the geographic impact of Xumin 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 Xumin Ni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xumin Ni more than expected).
Fields of papers citing papers by Xumin Ni
This network shows the impact of papers produced by Xumin 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 Xumin Ni. The network helps show where Xumin Ni may publish in the future.
Co-authors
The 25 scholars most cited alongside Xumin 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
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 27 | |
| 2 | 2018 | 24 | |
| 3 | 2016 | 21 | |
| 4 | 2022 | 18 | |
| 5 | 2017 | 17 | |
| 6 | 2018 | 16 | |
| 7 | 2018 | 14 | |
| 8 | 2017 | 11 | |
| 9 | 2022 | 7 | |
| 10 | 2021 | 6 | |
| 11 | 2020 | 4 | |
| 12 | 2017 | 3 | |
| 13 | 2020 | 3 | |
| 14 | 2015 | 3 | |
| 15 | 2024 | 1 | |
| 16 | 2021 | 1 | |
| 17 | 2024 | 0 | |
| 18 | 2020 | 0 |
About Xumin Ni
Xumin Ni is a scholar working on Genetics, Molecular Biology, Infectious Diseases, Epidemiology and Archeology, having authored 18 papers that have together received 176 indexed citations. Recurring topics across this work include Forensic and Genetic Research (8 papers), Genetic diversity and population structure (6 papers), Genetic Associations and Epidemiology (5 papers), Forensic Anthropology and Bioarchaeology Studies (3 papers), Tuberculosis Research and Epidemiology (3 papers), Mycobacterium research and diagnosis (3 papers), Infectious Diseases and Tuberculosis (2 papers) and Evolution and Genetic Dynamics (2 papers). The work is most often cited by research in Genetics (84 citations), Archeology (21 citations), Paleontology (14 citations), Infectious Diseases (30 citations) and Anthropology (17 citations). Xumin Ni has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Kai Yuan, Shuhua Xu, Zhi-Ming Ma, Chang Liu, Xiong Yang, Wei Guo, Ying Zhou, Qidi Feng, Yuwen Pan and Liang Ma. Their work appears in journals such as Briefings in Bioinformatics, Scientific Reports, Frontiers in Genetics, Quantitative Biology and Nature Communications.
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.