Jin-Hua Chen

1.2k total citations
37 papers, 756 citations indexed

About

Jin-Hua Chen is a scholar working on Surgery, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Jin-Hua Chen has authored 37 papers receiving a total of 756 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Surgery, 8 papers in Oncology and 7 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Jin-Hua Chen's work include Salivary Gland Disorders and Functions (4 papers), Peptidase Inhibition and Analysis (3 papers) and Coronary Artery Anomalies (3 papers). Jin-Hua Chen is often cited by papers focused on Salivary Gland Disorders and Functions (4 papers), Peptidase Inhibition and Analysis (3 papers) and Coronary Artery Anomalies (3 papers). Jin-Hua Chen collaborates with scholars based in Taiwan, United States and China. Jin-Hua Chen's co-authors include Chia‐Hung Kao, Chien‐Yu Lin, Ji‐An Liang, Wan‐Yu Lin, Hung-Chih Lin, Hung-Yang Chang, Yu-Sheng Chang, Hsin‐Yi Wang, Chi‐Ching Chang and Wei‐Sheng Chen and has published in prestigious journals such as PLoS ONE, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Jin-Hua Chen

33 papers receiving 741 citations

Peers

Jin-Hua Chen
Comparison fields: 5 of 110
  • Oncology 166
  • Surgery 150
  • Molecular Biology 143
  • Pulmonary and Respiratory Medicine 141
  • Epidemiology 107
Replace Nihal Özdemir with:
Nihal Özdemir Türkiye
Atsuko Murashima Japan
Nada Kanaan Belgium
Rose‐Marie Javier France
Richa Jain India
Mikko Perkkiö Finland
Julie Ng United States
Hale Ören Türkiye
Nicolas Noël France
Antonio Antico Italy
Nihal Özdemir Türkiye View profile →
Citations per field, relative to Jin-Hua Chen
Jin-Hua Chen · 1×
Citations per year, relative to Jin-Hua Chen
Jin-Hua Chen · 1×

Countries citing papers authored by Jin-Hua Chen

Since Specialization
Citations

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

Fields of papers citing papers by Jin-Hua Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jin-Hua Chen. 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 Jin-Hua Chen. The network helps show where Jin-Hua Chen may publish in the future.

Co-authorship network of co-authors of Jin-Hua Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Jin-Hua Chen. A scholar is included among the top collaborators of Jin-Hua Chen 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 Jin-Hua Chen. Jin-Hua Chen 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 1
3 0
4 2
5 0
6 10
7 3
8 3
9 137
10 66
11 15
12 10
13 6
14 20
15 5
16 64
17 82
18 33
19 6
20 8

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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