Runxi Wang
Impact in
- Ecological Modeling top 10%
- Species Distribution and Climate Change
-
- Plant and animal studies
- Animal Behavior and Reproduction
Papers in
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- Ecology and Vegetation Dynamics Studies 6
-
- Plant and animal studies 7
- Co-authors
- Benoît Guénard (5 shared papers)Sabine S. Nooten (1 shared paper)François Brassard (1 shared paper)Patrick Schultheiss (1 shared paper)Mark K. L. Wong (1 shared paper)Sandy P. Harrison (2 shared papers)I. Colin Prentice (2 shared papers)Han Wang (2 shared papers)
- Journals
- Journal of Biogeography (2 papers)PeerJ (1 paper)Nature Communications (1 paper)Journal of Ecology (1 paper)BMC Cancer (1 paper)
- Partner nations
- ChinaHong KongUnited Kingdom
In The Last Decade
Runxi Wang
18 papers receiving 272 citations
Runxi Wang's Hit Papers
Peers
Comparison fields: 5 of 58
- Ecological Modeling 45
- Ecology, Evolution, Behavior and Systematics 150
- Nature and Landscape Conservation 83
- Genetics 126
- Insect Science 31
Countries citing papers authored by Runxi Wang
This map shows the geographic impact of Runxi Wang'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 Runxi Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Runxi Wang more than expected).
Fields of papers citing papers by Runxi Wang
This network shows the impact of papers produced by Runxi Wang. 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 Runxi Wang. The network helps show where Runxi Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Runxi Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | The abundance, biomass, and distribution of ants on Earth Hit paper breakdown → | 2022 | 117 |
| 2 | 2022 | 50 | |
| 3 | 2022 | 20 | |
| 4 | 2022 | 18 | |
| 5 | 2022 | 16 | |
| 6 | 2024 | 13 | |
| 7 | 2019 | 11 | |
| 8 | 2024 | 7 | |
| 9 | 2023 | 5 | |
| 10 | 2024 | 5 | |
| 11 | 2022 | 4 | |
| 12 | 2024 | 3 | |
| 13 | 2017 | 3 | |
| 14 | 2024 | 2 | |
| 15 | 2024 | 2 | |
| 16 | 2021 | 2 | |
| 17 | 2024 | 1 | |
| 18 | 2025 | 1 | |
| 19 | 2025 | 0 | |
| 20 | 2025 | 0 |
About Runxi Wang
Runxi Wang is a scholar working on Nature and Landscape Conservation, Ecology, Evolution, Behavior and Systematics, Genetics, Ecological Modeling and Paleontology, having authored 20 papers that have together received 280 indexed citations. Recurring topics across this work include Plant and animal studies (7 papers), Ecology and Vegetation Dynamics Studies (6 papers), Insect and Arachnid Ecology and Behavior (5 papers), Species Distribution and Climate Change (4 papers), Evolution and Paleontology Studies (2 papers), Horticultural and Viticultural Research (1 paper), Soil Carbon and Nitrogen Dynamics (1 paper) and Wnt/β-catenin signaling in development and cancer (1 paper). The work is most often cited by research in Ecological Modeling (45 citations), Ecology, Evolution, Behavior and Systematics (150 citations), Nature and Landscape Conservation (83 citations), Genetics (126 citations) and Insect Science (31 citations). Runxi Wang has collaborated with scholars based in China, Hong Kong and United Kingdom. Frequent co-authors include Benoît Guénard, Sabine S. Nooten, François Brassard, Patrick Schultheiss, Mark K. L. Wong, Sandy P. Harrison, I. Colin Prentice, Han Wang, Haisheng Jiang and Jamie M. Kass. Their work appears in journals such as Journal of Biogeography, PeerJ, Nature Communications, Journal of Ecology and BMC Cancer.
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.