Ching‐Hao Teng

1.5k citations
50 papers · 1.0k indexed · h-index 20

Impact in

Papers in

Ching‐Hao Teng

49 papers receiving 1.0k citations

Peers

Ching‐Hao Teng
Comparison fields: 5 of 109
  • Endocrinology 412
  • Molecular Medicine 354
  • Microbiology 111
  • Epidemiology 250
  • Applied Microbiology and Biotechnology 13
Replace Xenia Kostoulias with:
Xenia Kostoulias Australia
J. Croizé France
Miguel A. De la Cruz Mexico
Matt S. Conover United States
S J Cavalieri United States
James R. Johnson United States
Sabrina I. Green United States
Guangtao Huang China
Pieter Deschaght Belgium
Sara A. Ochoa Mexico
Ching‐Hao Teng relative to Xenia Kostoulias Australia Xenia Kostoulias's profile →
Citations per field
00.5×1.5×1.9×
Xenia Kostoulias · 1×
Citations per year

Countries citing papers authored by Ching‐Hao Teng

Since Specialization
Citations

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

Fields of papers citing papers by Ching‐Hao Teng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ching‐Hao Teng. 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 Ching‐Hao Teng. The network helps show where Ching‐Hao Teng may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20245
3 20241
4 20241
5 20235
6 202228
7 202127
8 20211
9 20219
10 202111
11 202010
12 202023
13 202021
14 201741
15 201619
16 201412
17 20124
18 20092
19 200596
20 200510

About Ching‐Hao Teng

Ching‐Hao Teng is a scholar working on Endocrinology, Molecular Medicine, Microbiology, Biotechnology and Immunology, having authored 50 papers that have together received 1.0k indexed citations. Recurring topics across this work include Escherichia coli research studies (23 papers), Antibiotic Resistance in Bacteria (13 papers), Urinary Tract Infections Management (11 papers), Vibrio bacteria research studies (9 papers), Bacterial Genetics and Biotechnology (9 papers), Gut microbiota and health (7 papers), Pediatric Urology and Nephrology Studies (6 papers) and Bacteriophages and microbial interactions (4 papers). The work is most often cited by research in Endocrinology (412 citations), Molecular Medicine (354 citations), Microbiology (111 citations), Epidemiology (250 citations) and Applied Microbiology and Biotechnology (13 citations). Ching‐Hao Teng has collaborated with scholars based in Taiwan, United States and Japan. Frequent co-authors include Ming-Cheng Wang, Chin‐Chung Tseng, Jiunn-Jong Wu, Kwang Sik Kim, Wei‐Hung Lin, Yi Xie, Jing-Jou Yan, Cheng‐Yen Kao, Sooan Shin and Francescopaolo Di Cello. Their work appears in journals such as Infection and Immunity, Journal of Microbiology Immunology and Infection, Frontiers in Microbiology, Scientific Reports and International Journal of Medical Microbiology.

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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