Yuanting Jin
Impact in
- Ecological Modeling top 5%
- Species Distribution and Climate Change
- Global and Planetary Change top 10%
- Amphibian and Reptile Biology
Papers in
-
- Amphibian and Reptile Biology 19
- Genetics 14
- Genetic diversity and population structure 12
- Co-authors
- Richard P. Brown (10 shared papers)Naifa Liu (7 shared papers)Caiyun Fu (7 shared papers)Gang Shao (5 shared papers)Lixun Zhang (2 shared papers)Manman Cao (1 shared paper)Weihong Ji (1 shared paper)Sen Song (1 shared paper)
- Journals
- Molecular Phylogenetics and Evolution (5 papers)Ecology and Evolution (4 papers)Genome Biology and Evolution (3 papers)Amphibia-Reptilia (2 papers)Current Zoology (2 papers)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Yuanting Jin
31 papers receiving 478 citations
Peers
Comparison fields: 5 of 68
- Ecological Modeling 105
- Global and Planetary Change 195
- Ecology, Evolution, Behavior and Systematics 134
- Genetics 192
- Microbiology 38
Countries citing papers authored by Yuanting Jin
This map shows the geographic impact of Yuanting Jin'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 Yuanting Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuanting Jin more than expected).
Fields of papers citing papers by Yuanting Jin
This network shows the impact of papers produced by Yuanting Jin. 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 Yuanting Jin. The network helps show where Yuanting Jin may publish in the future.
Co-authors
The 25 scholars most cited alongside Yuanting Jin, 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 | 2008 | 74 | |
| 2 | 2019 | 33 | |
| 3 | 2019 | 32 | |
| 4 | 2013 | 32 | |
| 5 | 2007 | 29 | |
| 6 | 2018 | 27 | |
| 7 | 2013 | 25 | |
| 8 | 2009 | 24 | |
| 9 | 2012 | 19 | |
| 10 | 2013 | 19 | |
| 11 | 2013 | 18 | |
| 12 | 2017 | 18 | |
| 13 | 2015 | 16 | |
| 14 | 2017 | 15 | |
| 15 | 2019 | 13 | |
| 16 | 2020 | 12 | |
| 17 | 2014 | 12 | |
| 18 | 2007 | 11 | |
| 19 | 2019 | 9 | |
| 20 | 2014 | 8 |
About Yuanting Jin
Yuanting Jin is a scholar working on Global and Planetary Change, Genetics, Molecular Biology, Ecology, Evolution, Behavior and Systematics and Ecological Modeling, having authored 34 papers that have together received 494 indexed citations. Recurring topics across this work include Amphibian and Reptile Biology (19 papers), Genetic diversity and population structure (12 papers), Animal Behavior and Reproduction (10 papers), Species Distribution and Climate Change (9 papers), Genomics and Phylogenetic Studies (6 papers), Physiological and biochemical adaptations (4 papers), Plant and animal studies (3 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). The work is most often cited by research in Ecological Modeling (105 citations), Global and Planetary Change (195 citations), Ecology, Evolution, Behavior and Systematics (134 citations), Genetics (192 citations) and Microbiology (38 citations). Yuanting Jin has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Richard P. Brown, Naifa Liu, Caiyun Fu, Gang Shao, Lixun Zhang, Manman Cao, Weihong Ji, Sen Song, Zhisong Yang and Wei Chen. Their work appears in journals such as Molecular Phylogenetics and Evolution, Ecology and Evolution, Genome Biology and Evolution, Amphibia-Reptilia and Current Zoology.
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.