Lin Xia
Impact in
- Ecological Modeling top 2%
- Species Distribution and Climate Change
- Paleontology top 5%
- Evolution and Paleontology Studies
Papers in
- Ecology 46
- Wildlife Ecology and Conservation 28
- Animal Ecology and Behavior Studies 25
- Paleontology 20
- Evolution and Paleontology Studies 20
- Co-authors
- Qisen Yang (48 shared papers)Deyan Ge (47 shared papers)Zhixin Wen (38 shared papers)Zuojian Feng (2 shared papers)Zhang Zhang (9 shared papers)Dong Zou (7 shared papers)Jilong Cheng (29 shared papers)Xiuxiang Meng (1 shared paper)
- Journals
- Nucleic Acids Research (5 papers)Ecology and Evolution (3 papers)Journal of Mammalogy (3 papers)Ecography (3 papers)Evolutionary Biology (3 papers)
- Partner nations
- ChinaUnited StatesRussia
In The Last Decade
Lin Xia
76 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 121
- Ecological Modeling 279
- Paleontology 281
- Ecology 656
- Nature and Landscape Conservation 196
- Genetics 384
Countries citing papers authored by Lin Xia
This map shows the geographic impact of Lin Xia'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 Lin Xia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lin Xia more than expected).
Fields of papers citing papers by Lin Xia
This network shows the impact of papers produced by Lin Xia. 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 Lin Xia. The network helps show where Lin Xia may publish in the future.
Co-authors
The 25 scholars most cited alongside Lin Xia, 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 77 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 145 | |
| 2 | 2002 | 136 | |
| 3 | 2017 | 100 | |
| 4 | 2014 | 91 | |
| 5 | 2013 | 86 | |
| 6 | 2012 | 67 | |
| 7 | 2017 | 54 | |
| 8 | 2007 | 47 | |
| 9 | 2018 | 39 | |
| 10 | 2013 | 35 | |
| 11 | 2012 | 31 | |
| 12 | 2012 | 30 | |
| 13 | 2016 | 29 | |
| 14 | 2013 | 29 | |
| 15 | Review of the distribution, status and conservation of musk deer in China | 2004 | 27 |
| 16 | 2018 | 27 | |
| 17 | 2015 | 26 | |
| 18 | 2022 | 26 | |
| 19 | Leveraging derived data elements in data analytic models for understanding and predicting hospital readmissions. | 2012 | 23 |
| 20 | 2018 | 22 |
About Lin Xia
Lin Xia is a scholar working on Ecology, Paleontology, Genetics, Ecological Modeling and Molecular Biology, having authored 77 papers that have together received 1.6k indexed citations. Recurring topics across this work include Wildlife Ecology and Conservation (28 papers), Animal Ecology and Behavior Studies (25 papers), Evolution and Paleontology Studies (20 papers), Species Distribution and Climate Change (16 papers), Genetic diversity and population structure (10 papers), Bat Biology and Ecology Studies (9 papers), Ecology and Vegetation Dynamics Studies (8 papers) and Genomics and Phylogenetic Studies (6 papers). The work is most often cited by research in Ecological Modeling (279 citations), Paleontology (281 citations), Ecology (656 citations), Nature and Landscape Conservation (196 citations) and Genetics (384 citations). Lin Xia has collaborated with scholars based in China, United States and Russia. Frequent co-authors include Qisen Yang, Deyan Ge, Zhixin Wen, Zuojian Feng, Zhang Zhang, Dong Zou, Jilong Cheng, Xiuxiang Meng, Jian Sang and Zhaoqun Zhang. Their work appears in journals such as Nucleic Acids Research, Ecology and Evolution, Journal of Mammalogy, Ecography and Evolutionary Biology.
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.