Rei‐Hwa Lu

22 total papers · 821 total citations
22 papers, 676 citations indexed

About

Rei‐Hwa Lu is a scholar working on Hepatology, Epidemiology and Surgery. According to data from OpenAlex, Rei‐Hwa Lu has authored 22 papers receiving a total of 676 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Hepatology, 13 papers in Epidemiology and 4 papers in Surgery. Recurrent topics in Rei‐Hwa Lu's work include Liver Disease Diagnosis and Treatment (10 papers), Liver Disease and Transplantation (9 papers) and Hepatitis B Virus Studies (8 papers). Rei‐Hwa Lu is often cited by papers focused on Liver Disease Diagnosis and Treatment (10 papers), Liver Disease and Transplantation (9 papers) and Hepatitis B Virus Studies (8 papers). Rei‐Hwa Lu collaborates with scholars based in Taiwan and Vietnam. Rei‐Hwa Lu's co-authors include Shou‐Dong Lee, Sun-Sang Wang, Yang‐Te Tsai, Fa‐Yauh Lee, Han Lin, Fa‐Yauh Lee, Full‐Young Chang, Han‐Chieh Lin, Shinn‐Jang Hwang and Chi‐Jen Chu and has published in prestigious journals such as Journal of Hepatology, The American Journal of Gastroenterology and Clinical Science.

In The Last Decade

Rei‐Hwa Lu

22 papers receiving 656 citations

Author Peers

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

Author Last Decade Papers Cites
Rei‐Hwa Lu 435 420 125 102 74 22 676
Avegail Flores 372 0.9× 335 0.8× 214 1.7× 127 1.2× 50 0.7× 26 715
Kenzo Kobayashi 298 0.7× 339 0.8× 155 1.2× 98 1.0× 33 0.4× 18 628
S Sherlock 428 1.0× 435 1.0× 113 0.9× 104 1.0× 30 0.4× 30 790
Florencia Vargas 343 0.8× 316 0.8× 171 1.4× 69 0.7× 77 1.0× 16 598
Fa‐Yauh Lee 513 1.2× 518 1.2× 153 1.2× 91 0.9× 57 0.8× 15 710
Orhan Kürşat Poyrazoğlu 339 0.8× 179 0.4× 178 1.4× 71 0.7× 45 0.6× 33 729
Keisuke Ojiro 373 0.9× 293 0.7× 143 1.1× 69 0.7× 24 0.3× 29 651
Vincenzo Citro 446 1.0× 237 0.6× 128 1.0× 126 1.2× 121 1.6× 26 722
Vaishali Patel 321 0.7× 177 0.4× 150 1.2× 116 1.1× 76 1.0× 46 671
Soichiro Shibata 430 1.0× 382 0.9× 129 1.0× 102 1.0× 20 0.3× 26 587

Countries citing papers authored by Rei‐Hwa Lu

Since Specialization
Citations

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

Fields of papers citing papers by Rei‐Hwa Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rei‐Hwa Lu. 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 Rei‐Hwa Lu. The network helps show where Rei‐Hwa Lu may publish in the future.

Co-authorship network of co-authors of Rei‐Hwa Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Rei‐Hwa Lu. A scholar is included among the top collaborators of Rei‐Hwa Lu 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 Rei‐Hwa Lu. Rei‐Hwa Lu 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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