Runxi Wang

19 papers receiving 311 citations

Runxi Wang's Hit Papers

The abundance, biomass, and distribution of ants on Earth 2022 · 130 citations
1300+1+2Years since publication4080120

Peers

Runxi Wang
Comparison fields: 5 of 56
  • Ecological Modeling 49
  • Ecology, Evolution, Behavior and Systematics 162
  • Nature and Landscape Conservation 84
  • Genetics 140
  • Insect Science 33
Replace Naoyuki Nakahama with:
Naoyuki Nakahama Japan
Lucas Neves Perillo Brazil
Isgard Lemke Germany
David N. Zaya United States
Costanza Geppert Italy
Jan E. J. Mertens Czechia
Sofie Meeus Belgium
Kazuya Naoki Bolivia
Cleusa Vogel Ely Brazil
Ori Fragman‐Sapir Israel
Runxi Wang relative to Naoyuki Nakahama Japan Naoyuki Nakahama's profile →
Citations per field
00.5×1.5×2.3×
Naoyuki Nakahama · 1×
Citations per year

Countries citing papers authored by Runxi Wang

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Runxi Wang Line = papers co-authored together Runxi Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The abundance, biomass, and distribution of ants on Earth
Hit paper breakdown →
2022130
2 202257
3 202222
4 202219
5 202219
6 202414
7 201912
8 20249
9 20238
10 20246
11 20245
12 20224
13 20253
14 20243
15 20173
16 20243
17 20212
18 20241
19 20251
20 20250

About Runxi Wang

Runxi Wang is a scholar working on Nature and Landscape Conservation, Ecology, Evolution, Behavior and Systematics, Genetics, Ecological Modeling and Complementary and alternative medicine, having authored 21 papers that have together received 321 indexed citations. Recurring topics across this work include Plant and animal studies (6 papers), Ecology and Vegetation Dynamics Studies (5 papers), Insect and Arachnid Ecology and Behavior (5 papers), Species Distribution and Climate Change (4 papers), Acupuncture Treatment Research Studies (2 papers), Evolution and Paleontology Studies (2 papers), Stochastic Gradient Optimization Techniques (1 paper) and Plant Water Relations and Carbon Dynamics (1 paper). The work is most often cited by research in Ecological Modeling (49 citations), Ecology, Evolution, Behavior and Systematics (162 citations), Nature and Landscape Conservation (84 citations), Genetics (140 citations) and Insect Science (33 citations). Runxi Wang has collaborated with scholars based in China, Hong Kong and United Kingdom. Frequent co-authors include Benoît Guénard, François Brassard, Patrick Schultheiss, Mark K. L. Wong, Sabine S. Nooten, I. Colin Prentice, Han Wang, Sandy P. Harrison, Evan P. Economo and Jamie M. Kass. Their work appears in journals such as Frontiers in Immunology, Journal of Biogeography, Frontiers in Pharmacology, Frontiers in Plant Science and Ecology Letters.

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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