Chung-Ting Chen

21 papers receiving 255 citations

Peers

Chung-Ting Chen
Comparison fields: 5 of 70
  • Molecular Medicine 72
  • Applied Microbiology and Biotechnology 13
  • Emergency Medicine 57
  • Endocrinology 33
  • Critical Care and Intensive Care Medicine 15
Replace Analía Fernández with:
Analía Fernández Argentina
Hélène Poupet France
Angelo Gratarola Italy
Francesco Taccari Italy
Danièla Aymon Switzerland
Pleun J. van Duijn United States
Bastiaan HJ Wittekamp Netherlands
Melih Hulusi Us Türkiye
Elias Saad Saudi Arabia
Bhavik Patel Australia
Chung-Ting Chen relative to Analía Fernández Argentina Analía Fernández's profile →
Citations per field
00.5×
Analía Fernández · 1×
Citations per year

Countries citing papers authored by Chung-Ting Chen

Since Specialization
Citations

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

Fields of papers citing papers by Chung-Ting Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Chung-Ting 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 Chung-Ting Chen Line = papers co-authored together Chung-Ting Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201740
2 202139
3 201831
4 201526
5 202118
6 201717
7 201715
8 202011
9 202110
10 202310
11 20167
12 20206
13 20186
14 20215
15 20175
16 20235
17 20253
18 20222
19 20142
20 20251

About Chung-Ting Chen

Chung-Ting Chen is a scholar working on Molecular Medicine, Oncology, Epidemiology, Emergency Medicine and Pharmacology, having authored 26 papers that have together received 260 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (5 papers), Cardiac Arrest and Resuscitation (3 papers), COVID-19 and healthcare impacts (2 papers), Antibiotics Pharmacokinetics and Efficacy (2 papers), Acute Ischemic Stroke Management (2 papers), Hand Gesture Recognition Systems (1 paper), Inflammatory Biomarkers in Disease Prognosis (1 paper) and Amoebic Infections and Treatments (1 paper). The work is most often cited by research in Molecular Medicine (72 citations), Applied Microbiology and Biotechnology (13 citations), Emergency Medicine (57 citations), Endocrinology (33 citations) and Critical Care and Intensive Care Medicine (15 citations). Chung-Ting Chen has collaborated with scholars based in Taiwan, United States and Australia. Frequent co-authors include Chorng–Kuang How, Yi‐Tzu Lee, Yung-Chih Wang, Shu‐Chen Kuo, Te-Li Chen, Li-Hua Li, Ying‐Ju Chen, David Hung-Tsang Yen, Ya‐Sung Yang and I‐Hui Lee. Their work appears in journals such as BMJ Open, Journal of Microbiology Immunology and Infection, Antimicrobial Agents and Chemotherapy, European Journal of Emergency Medicine and BMC Emergency Medicine.

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