Zheng‐Da Pang

26 total papers · 593 total citations
20 papers, 442 citations indexed

About

Zheng‐Da Pang is a scholar working on Molecular Biology, Cell Biology and Surgery. According to data from OpenAlex, Zheng‐Da Pang has authored 20 papers receiving a total of 442 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 5 papers in Cell Biology and 4 papers in Surgery. Recurrent topics in Zheng‐Da Pang's work include Pancreatic function and diabetes (4 papers), Hippo pathway signaling and YAP/TAZ (4 papers) and RNA Research and Splicing (3 papers). Zheng‐Da Pang is often cited by papers focused on Pancreatic function and diabetes (4 papers), Hippo pathway signaling and YAP/TAZ (4 papers) and RNA Research and Splicing (3 papers). Zheng‐Da Pang collaborates with scholars based in China, Japan and United States. Zheng‐Da Pang's co-authors include Munehisa Shimamura, Hironori Nakagami, Hiroshi Koriyama, Ryuichi Morishita, Hitomi Kurinami, Xiu‐Ling Deng, H. Tomioka, Mariana Kiomy Osako, Akiko Tenma and Yu Zhang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Scientific Reports and The FASEB Journal.

In The Last Decade

Zheng‐Da Pang

19 papers receiving 440 citations

Author Peers

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

Author Last Decade Papers Cites
Zheng‐Da Pang 220 101 76 69 57 20 442
Ran Li 188 0.9× 68 0.7× 136 1.8× 46 0.7× 38 0.7× 26 494
Ken Kusaba 150 0.7× 119 1.2× 121 1.6× 48 0.7× 28 0.5× 17 390
Elaine M. Smolock 257 1.2× 105 1.0× 83 1.1× 39 0.6× 55 1.0× 24 487
Hiroshi Takaishi 263 1.2× 58 0.6× 48 0.6× 37 0.5× 31 0.5× 14 405
Huili Lin 150 0.7× 94 0.9× 115 1.5× 47 0.7× 28 0.5× 23 419
Soo Hyuk Kim 171 0.8× 74 0.7× 84 1.1× 46 0.7× 30 0.5× 14 386
Hideyuki Negoro 188 0.9× 77 0.8× 54 0.7× 33 0.5× 29 0.5× 21 457
Satoko Masuda 234 1.1× 98 1.0× 58 0.8× 56 0.8× 28 0.5× 15 460
Junlan Zhou 232 1.1× 52 0.5× 76 1.0× 62 0.9× 24 0.4× 31 409
Lifang Yang 233 1.1× 53 0.5× 76 1.0× 45 0.7× 35 0.6× 27 483

Countries citing papers authored by Zheng‐Da Pang

Since Specialization
Citations

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

Fields of papers citing papers by Zheng‐Da Pang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Zheng‐Da Pang. 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 Zheng‐Da Pang. The network helps show where Zheng‐Da Pang may publish in the future.

Co-authorship network of co-authors of Zheng‐Da Pang

This figure shows the co-authorship network connecting the top 25 collaborators of Zheng‐Da Pang. A scholar is included among the top collaborators of Zheng‐Da Pang 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 Zheng‐Da Pang. Zheng‐Da Pang 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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