Te‐Chun Shen

2.3k citations
140 papers · 1.7k · h-index 24

Impact in

Papers in

Te‐Chun Shen

131 papers receiving 1.6k citations

Peers

Te‐Chun Shen
Comparison fields: 5 of 100
  • Periodontics 130
  • Gastroenterology 63
  • Cancer Research 152
  • Immunology and Allergy 61
  • Dermatology 77
Replace Dóra Körmendiné Farkas with:
Dóra Körmendiné Farkas Denmark
Wen‐Rei Kuo Taiwan
Clive Kelly United Kingdom
Barry L. Wenig United States
Alexandra Balbir‐Gurman Israel
Alı Haberal Türkiye
Michele Pisano Italy
Christoph Lichy Germany
Conrad Timon Ireland
Gideon Nesher Israel
Te‐Chun Shen relative to Dóra Körmendiné Farkas Denmark Dóra Körmendiné Farkas's profile →
Citations per field
00.5×10×13×
Dóra Körmendiné Farkas · 1×
Citations per year

Countries citing papers authored by Te‐Chun Shen

Since Specialization
Citations

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

Fields of papers citing papers by Te‐Chun Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Te‐Chun Shen. 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 Te‐Chun Shen. The network helps show where Te‐Chun Shen may publish in the future.

Co-authors

The 25 scholars most cited alongside Te‐Chun Shen, 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 Te‐Chun Shen Line = papers co-authored together Te‐Chun Shen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 140 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201554
2 202146
3 201541
4 201537
5 201437
6 201534
7 201434
8 201634
9 201533
10 201433
11 201433
12 201632
13 201432
14 201431
15 201628
16 201727
17 202027
18 201725
19 201625
20 201425

About Te‐Chun Shen

Te‐Chun Shen is a scholar working on Pulmonary and Respiratory Medicine, Physiology, Surgery, Molecular Biology and Cancer Research, having authored 140 papers that have together received 1.7k indexed citations. Recurring topics across this work include Protease and Inhibitor Mechanisms (11 papers), Asthma and respiratory diseases (9 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (8 papers), DNA Repair Mechanisms (7 papers), Pleural and Pulmonary Diseases (7 papers), Oral microbiology and periodontitis research (6 papers), Occupational and environmental lung diseases (5 papers) and Allergic Rhinitis and Sensitization (5 papers). The work is most often cited by research in Periodontics (130 citations), Gastroenterology (63 citations), Cancer Research (152 citations), Immunology and Allergy (61 citations) and Dermatology (77 citations). Te‐Chun Shen has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Cheng‐Li Lin, Chang‐Ching Wei, Chih‐Yen Tu, Chia‐Hung Kao, Chia‐Hung Chen, Te‐Chun Hsia, Fung‐Chang Sung, Te‐Chun Hsia, Chuen-Ming Shih and Wu-Huei Hsu. Their work appears in journals such as Anticancer Research, Medicine, QJM, PLoS ONE and Scientific Reports.

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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