Tianming Lan
Impact in
-
- Genetic diversity and population structure
- Genetic and phenotypic traits in livestock
- Genetic Associations and Epidemiology
- Forensic and Genetic Research
Papers in
-
- Genomics and Phylogenetic Studies 11
- Molecular Biology Techniques and Applications 3
- Genetics 11
- Genetic diversity and population structure 7
- Genetic and phenotypic traits in livestock 3
- Co-authors
- Xiaosen Guo (2 shared papers)Sunil Kumar Sahu (10 shared papers)Huan Liu (8 shared papers)Yixin Zhu (6 shared papers)Jun Wang (1 shared paper)Yan Hua (3 shared papers)Xin Liu (1 shared paper)Xun Xu (1 shared paper)
- Journals
- GigaScience (3 papers)Genome Biology and Evolution (2 papers)iScience (1 paper)Conservation Genetics (1 paper)Global Ecology and Conservation (1 paper)
- Partner nations
- ChinaDenmarkUnited States
In The Last Decade
Tianming Lan
19 papers receiving 116 citations
Peers
Comparison fields: 5 of 54
- Genetics 75
- Equine 2
- Molecular Biology 64
- Ecology 18
- Virology 3
Countries citing papers authored by Tianming Lan
This map shows the geographic impact of Tianming Lan'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 Tianming Lan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tianming Lan more than expected).
Fields of papers citing papers by Tianming Lan
This network shows the impact of papers produced by Tianming Lan. 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 Tianming Lan. The network helps show where Tianming Lan may publish in the future.
Co-authors
The 25 scholars most cited alongside Tianming Lan, 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 | 2015 | 23 | |
| 2 | 2017 | 22 | |
| 3 | 2022 | 17 | |
| 4 | 2020 | 10 | |
| 5 | 2022 | 9 | |
| 6 | 2022 | 6 | |
| 7 | 2022 | 6 | |
| 8 | 2023 | 3 | |
| 9 | 2024 | 3 | |
| 10 | 2024 | 3 | |
| 11 | 2022 | 3 | |
| 12 | 2025 | 2 | |
| 13 | 2025 | 2 | |
| 14 | 2023 | 2 | |
| 15 | 2024 | 2 | |
| 16 | 2022 | 2 | |
| 17 | 2025 | 1 | |
| 18 | 2024 | 1 | |
| 19 | Three new bathyal bivalves from Taiwan | 1999 | 1 |
| 20 | 2022 | 0 |
About Tianming Lan
Tianming Lan is a scholar working on Molecular Biology, Genetics, Ecology, Plant Science and Microbiology, having authored 20 papers that have together received 118 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (11 papers), Genetic diversity and population structure (7 papers), Genetic and phenotypic traits in livestock (3 papers), Molecular Biology Techniques and Applications (3 papers), Aquaculture disease management and microbiota (3 papers), Chromosomal and Genetic Variations (3 papers), Antimicrobial Peptides and Activities (3 papers) and Wildlife Ecology and Conservation (2 papers). The work is most often cited by research in Genetics (75 citations), Equine (2 citations), Molecular Biology (64 citations), Ecology (18 citations) and Virology (3 citations). Tianming Lan has collaborated with scholars based in China, Denmark and United States. Frequent co-authors include Xiaosen Guo, Sunil Kumar Sahu, Huan Liu, Yixin Zhu, Jun Wang, Yan Hua, Xin Liu, Xun Xu, Haoxiang Lin and Jian Wang. Their work appears in journals such as GigaScience, Genome Biology and Evolution, iScience, Conservation Genetics and Global Ecology and Conservation.
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.