Chih‐Hung Chen

8.1k citations
205 papers · 5.2k · h-index 37

Impact in

Papers in

Chih‐Hung Chen

197 papers receiving 5.1k citations

Peers

Chih‐Hung Chen
Comparison fields: 5 of 140
  • Cancer Research 536
  • Internal Medicine 108
  • Genetics 338
  • Epidemiology 924
  • Rehabilitation 161
Replace Jason C. Kovacic with:
Jason C. Kovacic United States
M. Kloppenburg Netherlands
Cheuk‐Kwan Sun Taiwan
Søren Jacobsen Denmark
Volker Adams Germany
Antonino Tuttolomondo Italy
Chao‐Hung Wang Taiwan
Elżbieta Kaczmarek Poland
Jan Holm Denmark
Paolo Calabrò Italy
Chih‐Hung Chen relative to Jason C. Kovacic United States Jason C. Kovacic's profile →
Citations per field
00.5×1.5×2.1×
Jason C. Kovacic · 1×
Citations per year

Countries citing papers authored by Chih‐Hung Chen

Since Specialization
Citations

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

Fields of papers citing papers by Chih‐Hung Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chih‐Hung 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 Chih‐Hung Chen. The network helps show where Chih‐Hung Chen may publish in the future.

Co-authors

The 25 scholars most cited alongside Chih‐Hung Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Chih‐Hung Chen Line = papers co-authored together Chih‐Hung Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 205 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013335
2 2015251
3 2010231
4 2016208
5 2016201
6 2016140
7 2004139
8 2015119
9 2017105
10 201092
11
Adipose-derived mesenchymal stem cell-derived exosomes alleviate overwhelming systemic inflammatory reaction and organ damage and improve outcome in rat sepsis syndrome.
201886
12 201579
13 201679
14 201676
15 201670
16 200669
17
Melatonin treatment enhances therapeutic effects of exosomes against acute liver ischemia-reperfusion injury.
201769
18 201469
19 200468
20 201465

About Chih‐Hung Chen

Chih‐Hung Chen is a scholar working on Epidemiology, Pulmonary and Respiratory Medicine, Surgery, Molecular Biology and Neurology, having authored 205 papers that have together received 5.2k indexed citations. Recurring topics across this work include Acute Ischemic Stroke Management (34 papers), Lung Cancer Treatments and Mutations (12 papers), Intracerebral and Subarachnoid Hemorrhage Research (8 papers), Extracellular vesicles in disease (7 papers), Neonatal Respiratory Health Research (5 papers), Chronic Kidney Disease and Diabetes (5 papers), Acute Kidney Injury Research (5 papers) and Respiratory Support and Mechanisms (4 papers). The work is most often cited by research in Cancer Research (536 citations), Internal Medicine (108 citations), Genetics (338 citations), Epidemiology (924 citations) and Rehabilitation (161 citations). Chih‐Hung Chen has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Hon‐Kan Yip, Cheng-Yang Hsieh, Ming‐Liang Lai, Pei‐Hsun Sung, Chung‐Yi Li, Han‐Tan Chai, Kuan‐Hung Chen, Yi‐Ling Chen, Cheuk‐Kwan Sun and Hsueh‐Wen Chang. Their work appears in journals such as Biomedical Journal, Frontiers in Neurology, Stroke, Journal of Pineal Research and Oncotarget.

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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