Weihua Li

90 total papers · 2.0k total citations
42 papers, 1.5k citations indexed

About

Weihua Li is a scholar working on Molecular Biology, Clinical Psychology and Cognitive Neuroscience. According to data from OpenAlex, Weihua Li has authored 42 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 8 papers in Clinical Psychology and 8 papers in Cognitive Neuroscience. Recurrent topics in Weihua Li's work include Eating Disorders and Behaviors (8 papers), Extracellular vesicles in disease (8 papers) and Functional Brain Connectivity Studies (7 papers). Weihua Li is often cited by papers focused on Eating Disorders and Behaviors (8 papers), Extracellular vesicles in disease (8 papers) and Functional Brain Connectivity Studies (7 papers). Weihua Li collaborates with scholars based in China, United States and Sweden. Weihua Li's co-authors include Chuanyun Li, Dexi Chen, Tong Zhou, Xiuhui Li, Xiuhong Liu, Xiaoni Liu, Xin Li, Ning Li, Ping Zhang and Ke Cao and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Brain.

In The Last Decade

Weihua Li

36 papers receiving 1.5k citations

Hit Papers

The significance of exoso... 2020 2026 2022 2024 2020 100 200 300

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Weihua Li 976 556 281 161 129 42 1.5k
Changzheng Wang 1.0k 1.1× 773 1.4× 258 0.9× 158 1.0× 92 0.7× 35 1.8k
Sakari Joenväärä 743 0.8× 200 0.4× 167 0.6× 177 1.1× 75 0.6× 60 1.6k
Lirong Peng 1.1k 1.1× 302 0.5× 334 1.2× 317 2.0× 144 1.1× 47 1.6k
Tian Xie 863 0.9× 397 0.7× 233 0.8× 163 1.0× 104 0.8× 62 1.7k
Shuya Zhang 679 0.7× 219 0.4× 252 0.9× 94 0.6× 302 2.3× 63 1.7k
Surinder M. Soond 770 0.8× 322 0.6× 379 1.3× 138 0.9× 253 2.0× 34 1.5k
Fangfang Chen 1.2k 1.3× 591 1.1× 223 0.8× 103 0.6× 86 0.7× 53 1.7k
Hogyoung Kim 1.0k 1.0× 531 1.0× 268 1.0× 294 1.8× 71 0.6× 41 1.6k
Todd M. Savarese 1.1k 1.2× 180 0.3× 464 1.7× 249 1.5× 86 0.7× 41 1.8k
Yongsong Chen 677 0.7× 406 0.7× 156 0.6× 79 0.5× 56 0.4× 45 1.1k

Countries citing papers authored by Weihua Li

Since Specialization
Citations

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

Fields of papers citing papers by Weihua Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weihua Li

This figure shows the co-authorship network connecting the top 25 collaborators of Weihua Li. A scholar is included among the top collaborators of Weihua Li 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 Weihua Li. Weihua Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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