Jin Meng
Impact in
- Paleontology top 0.1%
- Evolution and Paleontology Studies
- Paleontology and Evolutionary Biology
-
- Bat Biology and Ecology Studies
Papers in ⓘ
- Paleontology 153
- Evolution and Paleontology Studies 152
- Paleontology and Evolutionary Biology 67
-
- Bat Biology and Ecology Studies 65
- Co-authors
- Yuan Wang (53 shared papers)Chuankui Li (22 shared papers)Yaoming Hu (13 shared papers)Malcolm C. McKenna (6 shared papers)André R. Wyss (9 shared papers)Shundong Bi (18 shared papers)Xijun Ni (27 shared papers)Fangyuan Mao (26 shared papers)
- Journals
- American Museum Novitates (28 papers)Nature (16 papers)Journal of Vertebrate Paleontology (10 papers)PLoS ONE (9 papers)Zoological Journal of the Linnean Society (7 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Jin Meng
180 papers receiving 4.9k citations
Peers
Comparison fields: 5 of 149
- Paleontology 3.6k
- Ecology, Evolution, Behavior and Systematics 1.6k
- Geometry and Topology 408
- Anthropology 427
- Atmospheric Science 739
Countries citing papers authored by Jin Meng
This map shows the geographic impact of Jin Meng'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 Jin Meng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin Meng more than expected).
Fields of papers citing papers by Jin Meng
This network shows the impact of papers produced by Jin Meng. 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 Jin Meng. The network helps show where Jin Meng may publish in the future.
Co-authors
The 25 scholars most cited alongside Jin Meng, 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 190 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1998 | 236 | |
| 2 | 2010 | 226 | |
| 3 | 2018 | 210 | |
| 4 | 2005 | 174 | |
| 5 | 2006 | 156 | |
| 6 | 2005 | 147 | |
| 7 | 2013 | 141 | |
| 8 | 2003 | 137 | |
| 9 | 2014 | 113 | |
| 10 | 2001 | 106 | |
| 11 | 2017 | 100 | |
| 12 | 2011 | 96 | |
| 13 | 2014 | 96 | |
| 14 | 2015 | 96 | |
| 15 | 2006 | 95 | |
| 16 | 2013 | 92 | |
| 17 | 2020 | 83 | |
| 18 | 1994 | 78 | |
| 19 | 1995 | 78 | |
| 20 | 2001 | 67 |
About Jin Meng
Jin Meng is a scholar working on Paleontology, Ecology, Evolution, Behavior and Systematics, Ecology, Atmospheric Science and Social Psychology, having authored 190 papers that have together received 5.1k indexed citations. Recurring topics across this work include Evolution and Paleontology Studies (152 papers), Paleontology and Evolutionary Biology (67 papers), Bat Biology and Ecology Studies (65 papers), Animal Ecology and Behavior Studies (29 papers), Geology and Paleoclimatology Research (24 papers), Primate Behavior and Ecology (18 papers), Pleistocene-Era Hominins and Archaeology (17 papers) and Morphological variations and asymmetry (16 papers). The work is most often cited by research in Paleontology (3.6k citations), Ecology, Evolution, Behavior and Systematics (1.6k citations), Geometry and Topology (408 citations), Anthropology (427 citations) and Atmospheric Science (739 citations). Jin Meng has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Yuan Wang, Chuankui Li, Yaoming Hu, Malcolm C. McKenna, André R. Wyss, Shundong Bi, Xijun Ni, Fangyuan Mao, Richard C. Fox and Wen-Yu Wu. Their work appears in journals such as American Museum Novitates, Nature, Journal of Vertebrate Paleontology, PLoS ONE and Zoological Journal of the Linnean Society.
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.