Jin‐Long Ren

837 citations
47 papers · 493 · h-index 13

Impact in

Papers in

Jin‐Long Ren

45 papers receiving 456 citations

Peers

Jin‐Long Ren
Comparison fields: 5 of 56
  • Ecological Modeling 82
  • Global and Planetary Change 241
  • Genetics 167
  • Ecology, Evolution, Behavior and Systematics 113
  • Renewable Energy, Sustainability and the Environment 83
Replace Shuo Qi with:
Shuo Qi China
Feng Xie China
Mehregan Ebrahimi Iran
Nicole Gruenheit United Kingdom
Kerry M. Kriger Australia
Jun J. Sato Japan
Ryan D Bickel United States
Efrat Gavish‐Regev Israel
Joanna Baker United Kingdom
Jie Yan China
Jin‐Long Ren relative to Shuo Qi China Shuo Qi's profile →
Citations per field
00.5×3.7×
Shuo Qi · 1×
Citations per year

Countries citing papers authored by Jin‐Long Ren

Since Specialization
Citations

This map shows the geographic impact of Jin‐Long Ren'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‐Long Ren with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin‐Long Ren more than expected).

Fields of papers citing papers by Jin‐Long Ren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jin‐Long Ren. 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‐Long Ren. The network helps show where Jin‐Long Ren may publish in the future.

Co-authors

The 25 scholars most cited alongside Jin‐Long Ren, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jin‐Long Ren Line = papers co-authored together Jin‐Long Ren links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201882
2 202033
3 202430
4 202323
5 201822
6 202322
7 202217
8 202117
9 202016
10 202015
11 202115
12 202214
13 202414
14 202111
15 201711
16 202210
17 20249
18 20228
19 20208
20 20228

About Jin‐Long Ren

Jin‐Long Ren is a scholar working on Global and Planetary Change, Genetics, Ecology, Evolution, Behavior and Systematics, Ecological Modeling and Renewable Energy, Sustainability and the Environment, having authored 47 papers that have together received 493 indexed citations. Recurring topics across this work include Amphibian and Reptile Biology (31 papers), Species Distribution and Climate Change (10 papers), Advanced Photocatalysis Techniques (9 papers), Wildlife Ecology and Conservation (6 papers), Lepidoptera: Biology and Taxonomy (6 papers), Animal Behavior and Reproduction (6 papers), Bat Biology and Ecology Studies (6 papers) and Gas Sensing Nanomaterials and Sensors (5 papers). The work is most often cited by research in Ecological Modeling (82 citations), Global and Planetary Change (241 citations), Genetics (167 citations), Ecology, Evolution, Behavior and Systematics (113 citations) and Renewable Energy, Sustainability and the Environment (83 citations). Jin‐Long Ren has collaborated with scholars based in China, United States and Vietnam. Frequent co-authors include Jia‐Tang Li, Ke Jiang, Cao Deng, Fucheng Yu, Jielin Zhang, Cuixia Li, Dong‐Dong Wu, Kai Wang, Dechun Jiang and Chenchen Feng. Their work appears in journals such as Zootaxa, Asian Herpetological Research, 动物学研究, Journal of Alloys and Compounds and Proceedings of the National Academy of Sciences.

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.

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