Ren‐Hua Chung

6.6k total citations
52 papers, 410 citations indexed

About

Ren‐Hua Chung is a scholar working on Genetics, Molecular Biology and Pathology and Forensic Medicine. According to data from OpenAlex, Ren‐Hua Chung has authored 52 papers receiving a total of 410 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Genetics, 22 papers in Molecular Biology and 6 papers in Pathology and Forensic Medicine. Recurrent topics in Ren‐Hua Chung's work include Genetic Associations and Epidemiology (20 papers), Bioinformatics and Genomic Networks (8 papers) and Genomic variations and chromosomal abnormalities (7 papers). Ren‐Hua Chung is often cited by papers focused on Genetic Associations and Epidemiology (20 papers), Bioinformatics and Genomic Networks (8 papers) and Genomic variations and chromosomal abnormalities (7 papers). Ren‐Hua Chung collaborates with scholars based in Taiwan, United States and China. Ren‐Hua Chung's co-authors include Eden R. Martin, Yu‐Li Liu, Hsiang‐Wei Kuo, Andrew C. H. Chen, Hsiao‐Hui Tsou, Elizabeth R. Hauser, Chiu‐Ping Fang, Sheng‐Chang Wang, Yawen Yu and Richard Morris and has published in prestigious journals such as Bioinformatics, PLoS ONE and Scientific Reports.

In The Last Decade

Ren‐Hua Chung

46 papers receiving 403 citations

Peers

Ren‐Hua Chung
Comparison fields: 5 of 83
  • Molecular Biology 166
  • Genetics 148
  • Physiology 48
  • Pulmonary and Respiratory Medicine 39
  • Cancer Research 35
Replace Leiting Xu with:
Leiting Xu China
Tatiana Tvrdik United States
Samantha Greenberg United States
Dora Janeth Fonseca Colombia
Pamela A. McCaskie Australia
Eleonora Porcu Switzerland
Jennifer Sjaarda Canada
Carlos Martín Restrepo Colombia
Joshua Backman United States
Casie A. Genetti United States
Leiting Xu China View profile →
Citations per field, relative to Ren‐Hua Chung
Ren‐Hua Chung · 1×
Citations per year, relative to Ren‐Hua Chung
Ren‐Hua Chung · 1×

Countries citing papers authored by Ren‐Hua Chung

Since Specialization
Citations

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

Fields of papers citing papers by Ren‐Hua Chung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ren‐Hua Chung. 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 Ren‐Hua Chung. The network helps show where Ren‐Hua Chung may publish in the future.

Co-authorship network of co-authors of Ren‐Hua Chung

This figure shows the co-authorship network connecting the top 25 collaborators of Ren‐Hua Chung. A scholar is included among the top collaborators of Ren‐Hua Chung 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 Ren‐Hua Chung. Ren‐Hua Chung is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 3
3 0
4 1
5 0
6 2
7 4
8 4
9 3
10 36
11 9
12 33
13 4
14 2
15 2
16 10
17 2
18 28
19 19
20 13

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026