Qian Cong

11.6k total citations · 4 hit papers
121 papers, 3.4k citations indexed

About

Qian Cong is a scholar working on Genetics, Molecular Biology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Qian Cong has authored 121 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Genetics, 55 papers in Molecular Biology and 37 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Qian Cong's work include Lepidoptera: Biology and Taxonomy (56 papers), Plant and animal studies (35 papers) and Genomics and Phylogenetic Studies (20 papers). Qian Cong is often cited by papers focused on Lepidoptera: Biology and Taxonomy (56 papers), Plant and animal studies (35 papers) and Genomics and Phylogenetic Studies (20 papers). Qian Cong collaborates with scholars based in United States, China and Canada. Qian Cong's co-authors include Nick V. Grishin, Xin Cai, Jiaxi Wu, Xiang Chen, Siqi Liu, Tuo Li, Youtong Wu, Zhijian J. Chen, Fenghe Du and Nick V. Grishin and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Qian Cong

111 papers receiving 3.4k citations

Hit Papers

Phosphorylation of innate immune adaptor proteins MAVS, S... 2015 2026 2018 2022 2015 2019 2022 2023 400 800 1.2k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Qian Cong United States 26 1.7k 1.4k 859 544 522 121 3.4k
Teruo Yasunaga Japan 31 2.3k 1.4× 1.5k 1.1× 1.0k 1.2× 474 0.9× 633 1.2× 93 5.1k
Mario A. Fares Ireland 33 2.0k 1.2× 365 0.3× 673 0.8× 304 0.6× 162 0.3× 94 3.2k
Just Justesen Denmark 32 2.3k 1.4× 964 0.7× 558 0.6× 102 0.2× 177 0.3× 90 3.5k
Aidan Budd Germany 18 1.6k 1.0× 636 0.5× 459 0.5× 165 0.3× 101 0.2× 31 2.8k
Michel Ledizet United States 27 1.7k 1.0× 439 0.3× 450 0.5× 66 0.1× 768 1.5× 52 3.5k
Fredj Tekaia France 31 1.4k 0.9× 655 0.5× 273 0.3× 427 0.8× 935 1.8× 61 3.3k
Valérie Labas France 36 2.2k 1.3× 613 0.4× 564 0.7× 83 0.2× 108 0.2× 135 4.3k
Marc Kvansakul Australia 37 2.1k 1.2× 671 0.5× 456 0.5× 102 0.2× 215 0.4× 87 3.4k
Denise V. Tambourgi Brazil 35 1.7k 1.0× 463 0.3× 2.8k 3.3× 197 0.4× 148 0.3× 153 4.1k
John A. Browne Ireland 31 870 0.5× 499 0.4× 440 0.5× 272 0.5× 314 0.6× 108 2.7k

Countries citing papers authored by Qian Cong

Since Specialization
Citations

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

Fields of papers citing papers by Qian Cong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qian Cong

This figure shows the co-authorship network connecting the top 25 collaborators of Qian Cong. A scholar is included among the top collaborators of Qian Cong based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Qian Cong. Qian Cong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Kretsch, Rachael C., Alissa M. Hummer, Shujun He, et al.. (2025). Assessment of Nucleic Acid Structure Prediction in CASP16. Proteins Structure Function and Bioinformatics. 94(1). 192–217. 1 indexed citations
2.
Zhang, Jing, Andriy Kryshtafovych, Jimin Pei, et al.. (2025). Assessment of Protein Complex Predictions in CASP16 : Are We Making Progress?. Proteins Structure Function and Bioinformatics. 94(1). 106–130.
3.
Pei, Jimin, Antonina Andreeva, Sara Chuguransky, et al.. (2024). Bridging the Gap between Sequence and Structure Classifications of Proteins with AlphaFold Models. Journal of Molecular Biology. 436(22). 168764–168764. 5 indexed citations
4.
Zhang, Jing, Qian Cong, Jinhui Shen, et al.. (2024). What one genus of showy moths can say about migration, adaptation, and wing pattern. Proceedings of the National Academy of Sciences. 121(17). e2319726121–e2319726121. 4 indexed citations
5.
Zhang, Jing, Timothy King, Qian Cong, et al.. (2024). Range‐wide population genomic structure of the Karner blue butterfly, Plebejus ( Lycaeides ) samuelis. Ecology and Evolution. 14(9). e70044–e70044.
6.
Zhang, Jing, et al.. (2023). Recent advances in predicting and modeling protein–protein interactions. Trends in Biochemical Sciences. 48(6). 527–538. 36 indexed citations
7.
Pei, Jimin & Qian Cong. (2023). Computational analysis of regulatory regions in human protein kinases. Protein Science. 32(10). e4764–e4764. 3 indexed citations
8.
Zhang, Jing, Qian Cong, Jinhui Shen, et al.. (2023). Taxonomic notes on Neotropical Hesperiidae (Lepidoptera). Zootaxa. 5271(1). 91–114. 1 indexed citations
9.
Pei, Jimin & Qian Cong. (2023). AFTM: a database of transmembrane regions in the human proteome predicted by AlphaFold. Database. 2023. 5 indexed citations
10.
Kinch, Lisa N., Qian Cong, Jananee Jaishankar, & Kim Orth. (2022). Co-component signal transduction systems: Fast-evolving virulence regulation cassettes discovered in enteric bacteria. Proceedings of the National Academy of Sciences. 119(24). e2203176119–e2203176119. 18 indexed citations
11.
Pei, Jimin, Jing Zhang, & Qian Cong. (2022). Human mitochondrial protein complexes revealed by large-scale coevolution analysis and deep learning-based structure modeling. Bioinformatics. 38(18). 4301–4311. 28 indexed citations
12.
Macé, Kevin, Adam Redzej, Natalya Lukoyanova, et al.. (2022). Cryo-EM structure of a type IV secretion system. Nature. 607(7917). 191–196. 72 indexed citations breakdown →
13.
Robbins, Robert K., Qian Cong, Jing Zhang, et al.. (2022). Genomics‐based higher classification of the species‐rich hairstreaks (Lepidoptera: Lycaenidae: Eumaeini). Systematic Entomology. 47(3). 445–469. 9 indexed citations
15.
Cong, Qian, et al.. (2021). Influence of the large‐Z effect during contact between butterfly sister species. Ecology and Evolution. 11(17). 11615–11626. 2 indexed citations
16.
Robbins, Robert K., Qian Cong, Jing Zhang, et al.. (2021). A switch to feeding on cycads generates parallel accelerated evolution of toxin tolerance in two clades ofEumaeuscaterpillars (Lepidoptera: Lycaenidae). Proceedings of the National Academy of Sciences. 118(7). 9 indexed citations
17.
Cong, Qian, et al.. (2021). Design and Test of Load-Lifting Performance for Hydraulic Linkage of the High-Medium Horsepower Tractor. Applied Sciences. 11(20). 9758–9758. 3 indexed citations
18.
Cong, Qian, et al.. (2020). Speciation in North American Junonia from a genomic perspective. Systematic Entomology. 45(4). 803–837. 11 indexed citations
19.
Cong, Qian, Ivan Anishchenko, Sergey Ovchinnikov, & David Baker. (2019). Protein interaction networks revealed by proteome coevolution. Science. 365(6449). 185–189. 150 indexed citations breakdown →
20.
Liu, Ming, et al.. (2008). Synthetical Evaluation the Quality of the Hospital Work in Each Year with Numerical Analysis. Shuxue de shijian yu renshi. 38(21). 94–96. 1 indexed citations

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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