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 18
-
- Species Distribution and Climate Change 9
- Co-authors
- Richard P. Brown (12 shared papers)Naifa Liu (6 shared papers)Caiyun Fu (7 shared papers)Gang Qin Shao (5 shared papers)Lixun Zhang (2 shared papers)Zhisong Yang (1 shared paper)Manman Cao (1 shared paper)Weihong Ji (1 shared paper)
- Journals
- Molecular Phylogenetics and Evolution (5 papers)Ecology and Evolution (4 papers)Genome Biology and Evolution (3 papers)Current Zoology (2 papers)Peptides (1 paper)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Yuanting Jin
36 papers receiving 536 citations
Peers
Comparison fields: 5 of 71
- Ecological Modeling 102
- Global and Planetary Change 205
- Microbiology 43
- Genetics 194
- Ecology, Evolution, Behavior and Systematics 137
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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 77 | |
| 2 | 2019 | 40 | |
| 3 | 2019 | 37 | |
| 4 | 2013 | 35 | |
| 5 | 2007 | 30 | |
| 6 | 2018 | 29 | |
| 7 | 2013 | 26 | |
| 8 | 2009 | 25 | |
| 9 | 2013 | 20 | |
| 10 | 2017 | 19 | |
| 11 | 2012 | 19 | |
| 12 | 2017 | 19 | |
| 13 | 2013 | 18 | |
| 14 | 2017 | 16 | |
| 15 | 2015 | 16 | |
| 16 | 2019 | 13 | |
| 17 | 2014 | 13 | |
| 18 | 2020 | 12 | |
| 19 | 2019 | 9 | |
| 20 | 2014 | 9 |
About Yuanting Jin
Yuanting Jin is a scholar working on Global and Planetary Change, Ecological Modeling, Ecology, Evolution, Behavior and Systematics, Genetics and Ecology, having authored 38 papers that have together received 550 indexed citations. Recurring topics across this work include Amphibian and Reptile Biology (18 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 melanin and skin pigmentation (2 papers). The work is most often cited by research in Ecological Modeling (102 citations), Global and Planetary Change (205 citations), Microbiology (43 citations), Genetics (194 citations) and Ecology, Evolution, Behavior and Systematics (137 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 Qin Shao, Lixun Zhang, Zhisong Yang, Manman Cao, Weihong Ji, Sen Song and Lingfei Wang. Their work appears in journals such as Molecular Phylogenetics and Evolution, Ecology and Evolution, Genome Biology and Evolution, Current Zoology and Peptides.
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.