Congcong Wang

710 citations
29 papers · 601 · h-index 12

Impact in

Papers in

    • Protist diversity and phylogeny 8
    • Gut microbiota and health 4
    • Protein Structure and Dynamics 3
    • Genomics and Phylogenetic Studies 2
    • Microbial Community Ecology and Physiology 8

Congcong Wang

28 papers receiving 599 citations

Peers

Congcong Wang
Comparison fields: 5 of 89
  • Molecular Biology 415
  • Environmental Chemistry 41
  • Computational Theory and Mathematics 57
  • Cell Biology 52
  • Ecology 80
Replace Qing Mao with:
Qing Mao China
Steve Quirós Costa Rica
Nikki Bollinger United States
Ge Yao China
Mariam M. Konaté United States
Halina R. Novak United Kingdom
Kai A. Reidegeld Germany
Md. Motarab Hossain Japan
Christophe Labrière France
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Citations per field
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Citations per year

Countries citing papers authored by Congcong Wang

Since Specialization
Citations

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

Fields of papers citing papers by Congcong Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Congcong 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 Congcong Wang. The network helps show where Congcong Wang may publish in the future.

Co-authors

The 25 scholars most cited alongside Congcong 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 Congcong Wang Line = papers co-authored together Congcong Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015129
2 201386
3 201173
4 201351
5 201437
6 201832
7 201626
8 202119
9 202316
10 202313
11 202112
12 202212
13 202211
14 202211
15 202210
16 20219
17 20229
18 20169
19 20238
20 20215

About Congcong Wang

Congcong Wang is a scholar working on Molecular Biology, Ecology, Environmental Chemistry, Physiology and Statistical and Nonlinear Physics, having authored 29 papers that have together received 601 indexed citations. Recurring topics across this work include Microbial Community Ecology and Physiology (8 papers), Protist diversity and phylogeny (8 papers), Methane Hydrates and Related Phenomena (4 papers), Gut microbiota and health (4 papers), Protein Structure and Dynamics (3 papers), Diet and metabolism studies (2 papers), Genomics and Phylogenetic Studies (2 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). The work is most often cited by research in Molecular Biology (415 citations), Environmental Chemistry (41 citations), Computational Theory and Mathematics (57 citations), Cell Biology (52 citations) and Ecology (80 citations). Congcong Wang has collaborated with scholars based in China, United Kingdom and Germany. Frequent co-authors include Peng Zhou, Jian Hua Huang, Chao Yang, Ping He, Shilei Zhang, Xiaofeng Yue, Zhengyi Wang, Zhonghua Ma, Yawei Que and Feifei Tian. Their work appears in journals such as Frontiers in Marine Science, PLoS ONE, Nutrients, Journal of Computer-Aided Molecular Design and Systematics and Biodiversity.

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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