Guor Mour Her

38 total papers · 1.4k total citations
32 papers, 1.1k citations indexed

About

Guor Mour Her is a scholar working on Molecular Biology, Physiology and Surgery. According to data from OpenAlex, Guor Mour Her has authored 32 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 10 papers in Physiology and 7 papers in Surgery. Recurrent topics in Guor Mour Her's work include Pancreatic function and diabetes (7 papers), Adipose Tissue and Metabolism (6 papers) and Lipid metabolism and biosynthesis (4 papers). Guor Mour Her is often cited by papers focused on Pancreatic function and diabetes (7 papers), Adipose Tissue and Metabolism (6 papers) and Lipid metabolism and biosynthesis (4 papers). Guor Mour Her collaborates with scholars based in Taiwan, United States and China. Guor Mour Her's co-authors include Jen‐Leih Wu, Chia-Chun Hsu, Chi‐Yu Lai, Wenya Chen, Jiann‐Ruey Hong, Jen‐Leih Wu, Yang-Hui Jimmy Yeh, Jyh‐Yih Chen, Cho‐Fat Hui and Wei Lin and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Scientific Reports and FEBS Letters.

In The Last Decade

Guor Mour Her

31 papers receiving 1.1k citations

Author Peers

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

Author Last Decade Papers Cites
Guor Mour Her 606 243 219 190 162 32 1.1k
Joanne Pagnon 704 1.2× 303 1.2× 251 1.1× 208 1.1× 188 1.2× 22 1.4k
Fernando Garcı́a 700 1.2× 138 0.6× 391 1.8× 105 0.6× 42 0.3× 45 1.5k
Derrick Sek Tong Ong 549 0.9× 264 1.1× 168 0.8× 144 0.8× 37 0.2× 22 1.2k
Annie Husson 422 0.7× 141 0.6× 134 0.6× 83 0.4× 154 1.0× 53 1.2k
Hao Liu 619 1.0× 198 0.8× 248 1.1× 139 0.7× 55 0.3× 63 1.2k
Kazuhide S. Okuda 481 0.8× 344 1.4× 255 1.2× 119 0.6× 125 0.8× 27 1.1k
Manuel A. Fernández‐Rojo 750 1.2× 643 2.6× 157 0.7× 264 1.4× 174 1.1× 30 1.5k
Jianqiang Mao 557 0.9× 87 0.4× 129 0.6× 176 0.9× 129 0.8× 20 1.1k
Michael A. Billett 821 1.4× 221 0.9× 77 0.4× 154 0.8× 139 0.9× 37 1.3k
G. Bensi 681 1.1× 185 0.8× 458 2.1× 127 0.7× 115 0.7× 27 1.5k

Countries citing papers authored by Guor Mour Her

Since Specialization
Citations

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

Fields of papers citing papers by Guor Mour Her

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Guor Mour Her. 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 Guor Mour Her. The network helps show where Guor Mour Her may publish in the future.

Co-authorship network of co-authors of Guor Mour Her

This figure shows the co-authorship network connecting the top 25 collaborators of Guor Mour Her. A scholar is included among the top collaborators of Guor Mour Her 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 Guor Mour Her. Guor Mour Her 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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