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
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- Genomics and Phylogenetic Studies 13
- Molecular Biology Techniques and Applications 3
- Genetics 12
- Genetic diversity and population structure 8
- Genetic and phenotypic traits in livestock 3
- Co-authors
- Sunil Kumar Sahu (11 shared papers)Huan Liu (8 shared papers)Xiaosen Guo (2 shared papers)Yixin Zhu (6 shared papers)Haimeng Li (9 shared papers)Yuriy L. Orlov (1 shared paper)Olga L. Posukh (1 shared paper)Narisu Narisu (1 shared paper)
- Journals
- GigaScience (3 papers)Molecular Ecology Resources (2 papers)Genome Biology and Evolution (2 papers)Conservation Genetics (1 paper)iScience (1 paper)
- Partner nations
- ChinaDenmarkUnited States
In The Last Decade
Tianming Lan
19 papers receiving 132 citations
Peers
Comparison fields: 5 of 51
- Genetics 73
- Virology 4
- Molecular Biology 59
- Equine 1
- Ecology 16
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
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 24 | |
| 2 | 2017 | 22 | |
| 3 | 2022 | 21 | |
| 4 | 2022 | 11 | |
| 5 | 2020 | 11 | |
| 6 | 2022 | 8 | |
| 7 | 2022 | 6 | |
| 8 | 2024 | 5 | |
| 9 | 2024 | 4 | |
| 10 | 2025 | 3 | |
| 11 | 2022 | 3 | |
| 12 | 2023 | 3 | |
| 13 | 2024 | 3 | |
| 14 | 2023 | 2 | |
| 15 | 2025 | 2 | |
| 16 | 2022 | 2 | |
| 17 | 2024 | 1 | |
| 18 | 2025 | 1 | |
| 19 | Three new bathyal bivalves from Taiwan | 1999 | 1 |
| 20 | 2025 | 0 |
About Tianming Lan
Tianming Lan is a scholar working on Molecular Biology, Genetics, Ecology, Microbiology and Immunology, having authored 23 papers that have together received 133 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (13 papers), Genetic diversity and population structure (8 papers), Antimicrobial Peptides and Activities (4 papers), Genetic and phenotypic traits in livestock (3 papers), Molecular Biology Techniques and Applications (3 papers), Amphibian and Reptile Biology (3 papers), Aquaculture disease management and microbiota (3 papers) and Wildlife Ecology and Conservation (2 papers). The work is most often cited by research in Genetics (73 citations), Virology (4 citations), Molecular Biology (59 citations), Equine (1 citation) and Ecology (16 citations). Tianming Lan has collaborated with scholars based in China, Denmark and United States. Frequent co-authors include Sunil Kumar Sahu, Huan Liu, Xiaosen Guo, Yixin Zhu, Haimeng Li, Yuriy L. Orlov, Olga L. Posukh, Narisu Narisu, Wenjuan Zhu and Ying Chen. Their work appears in journals such as GigaScience, Molecular Ecology Resources, Genome Biology and Evolution, Conservation Genetics and iScience.
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.