Geng Wu

108 total papers · 4.9k total citations
87 papers, 3.8k citations indexed

About

Geng Wu is a scholar working on Molecular Biology, Genetics and Cell Biology. According to data from OpenAlex, Geng Wu has authored 87 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Molecular Biology, 11 papers in Genetics and 9 papers in Cell Biology. Recurrent topics in Geng Wu's work include Bacterial Genetics and Biotechnology (10 papers), RNA and protein synthesis mechanisms (8 papers) and DNA and Nucleic Acid Chemistry (7 papers). Geng Wu is often cited by papers focused on Bacterial Genetics and Biotechnology (10 papers), RNA and protein synthesis mechanisms (8 papers) and DNA and Nucleic Acid Chemistry (7 papers). Geng Wu collaborates with scholars based in China, United States and Germany. Geng Wu's co-authors include Yigong Shi, Brenda A. Schulman, Nikola P. Pavletich, Jiawei Wu, Chunying Du, Jijie Chai, Tomeka Suber, Xiaodong Wang, Guozhou Xu and Philip D. Jeffrey and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Geng Wu

79 papers receiving 3.7k citations

Hit Papers

Structural basis of IAP r... 2000 2026 2008 2017 2000 2003 200 400 600

Author Peers

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

Author Last Decade Papers Cites
Geng Wu 3.1k 565 431 330 282 87 3.8k
André Trouet 2.2k 0.7× 815 1.4× 521 1.2× 321 1.0× 325 1.2× 96 4.4k
Min Zhuang 1.9k 0.6× 492 0.9× 405 0.9× 253 0.8× 287 1.0× 129 3.4k
Hyungjin Kim 3.1k 1.0× 726 1.3× 400 0.9× 519 1.6× 399 1.4× 74 4.2k
Yan Li 2.8k 0.9× 352 0.6× 278 0.6× 261 0.8× 266 0.9× 115 4.1k
Samir Kumar Patra 2.3k 0.7× 429 0.8× 252 0.6× 223 0.7× 279 1.0× 103 3.5k
Bing Hao 2.3k 0.7× 655 1.2× 558 1.3× 163 0.5× 252 0.9× 62 3.1k
Seung Jun Kim 1.9k 0.6× 321 0.6× 353 0.8× 305 0.9× 163 0.6× 127 2.8k
E.D. Lowe 2.8k 0.9× 561 1.0× 844 2.0× 258 0.8× 205 0.7× 66 4.2k
Yves A. Muller 2.7k 0.9× 485 0.9× 351 0.8× 664 2.0× 457 1.6× 114 4.9k
Shigemi Matsuyama 4.3k 1.4× 566 1.0× 448 1.0× 735 2.2× 553 2.0× 72 5.7k

Countries citing papers authored by Geng Wu

Since Specialization
Citations

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

Fields of papers citing papers by Geng Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Geng Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Geng Wu. A scholar is included among the top collaborators of Geng Wu 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 Geng Wu. Geng Wu 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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