Nan–Hua Chou

26 total papers · 643 total citations
20 papers, 490 citations indexed

About

Nan–Hua Chou is a scholar working on Surgery, Molecular Biology and Cancer Research. According to data from OpenAlex, Nan–Hua Chou has authored 20 papers receiving a total of 490 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Surgery, 5 papers in Molecular Biology and 5 papers in Cancer Research. Recurrent topics in Nan–Hua Chou's work include Gastric Cancer Management and Outcomes (3 papers), RNA modifications and cancer (3 papers) and Hepatocellular Carcinoma Treatment and Prognosis (2 papers). Nan–Hua Chou is often cited by papers focused on Gastric Cancer Management and Outcomes (3 papers), RNA modifications and cancer (3 papers) and Hepatocellular Carcinoma Treatment and Prognosis (2 papers). Nan–Hua Chou collaborates with scholars based in Taiwan and Japan. Nan–Hua Chou's co-authors include Being‐Whey Wang, Shiuh‐Inn Liu, King‐Tong Mok, Cheng‐Chung Tsai, Yu‐Chia Chen, Kuo‐Wang Tsai, I-Shu Chen, Gin‐Ho Lo, Ming-Hsin Yeh and Hui‐Hwa Tseng and has published in prestigious journals such as Cancer Letters, World Journal of Gastroenterology and Gastrointestinal Endoscopy.

In The Last Decade

Nan–Hua Chou

20 papers receiving 477 citations

Author Peers

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

Author Last Decade Papers Cites
Nan–Hua Chou 193 169 107 107 100 20 490
C. R. Staalman 156 0.8× 76 0.4× 32 0.3× 127 1.2× 64 0.6× 14 417
Shinji Katsushima 94 0.5× 74 0.4× 52 0.5× 94 0.9× 67 0.7× 21 453
Alvaro Koch 118 0.6× 108 0.6× 59 0.6× 287 2.7× 33 0.3× 15 505
Claudia Rudroff 124 0.6× 125 0.7× 80 0.7× 86 0.8× 16 0.2× 25 449
Monika Tripathi 177 0.9× 97 0.6× 77 0.7× 14 0.1× 50 0.5× 26 533
J D Harrison 254 1.3× 65 0.4× 20 0.2× 111 1.0× 40 0.4× 17 474
Tokuhiro Matsubara 91 0.5× 73 0.4× 37 0.3× 138 1.3× 17 0.2× 28 506
J-L. van Laethem 265 1.4× 72 0.4× 50 0.5× 40 0.4× 71 0.7× 13 519
Seong Woo Hong 85 0.4× 86 0.5× 114 1.1× 25 0.2× 47 0.5× 27 456
Mohammed Elhendawy 137 0.7× 149 0.9× 162 1.5× 198 1.9× 51 0.5× 21 458

Countries citing papers authored by Nan–Hua Chou

Since Specialization
Citations

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

Fields of papers citing papers by Nan–Hua Chou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nan–Hua Chou. 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 Nan–Hua Chou. The network helps show where Nan–Hua Chou may publish in the future.

Co-authorship network of co-authors of Nan–Hua Chou

This figure shows the co-authorship network connecting the top 25 collaborators of Nan–Hua Chou. A scholar is included among the top collaborators of Nan–Hua Chou 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 Nan–Hua Chou. Nan–Hua Chou 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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