Ming Teh

6.0k citations
88 papers · 3.6k · h-index 37

Impact in

Papers in

Ming Teh

86 papers receiving 3.5k citations

Peers

Ming Teh
Comparison fields: 5 of 127
  • Biophysics 1.7k
  • Analytical Chemistry 1.3k
  • Gastroenterology 90
  • Surgery 691
  • Radiology, Nuclear Medicine and Imaging 328
Replace Michele Follen Mitchell with:
Michele Follen Mitchell United States
Maryann Fitzmaurice United States
Wolfgang Haensch Germany
Mads S. Bergholt United Kingdom
Jianji Pan China
Ken Berean Canada
Thomas D. Wang United States
Matthew D. Keller United States
Claudio Sorio Italy
Shmuel Argov Israel
Ming Teh relative to Michele Follen Mitchell United States Michele Follen Mitchell's profile →
Citations per field
00.5×5×12.4×
Michele Follen Mitchell · 1×
Citations per year

Countries citing papers authored by Ming Teh

Since Specialization
Citations

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

Fields of papers citing papers by Ming Teh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming Teh. 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 Ming Teh. The network helps show where Ming Teh may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 88 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008205
2 2005202
3 2004166
4 2011127
5 2013124
6 2012122
7 2016113
8 2009108
9 2010106
10 2011103
11 2010103
12 201298
13 201198
14 200196
15 201093
16 201590
17 200890
18 200787
19 201086
20 201076

About Ming Teh

Ming Teh is a scholar working on Biophysics, Analytical Chemistry, Surgery, Molecular Biology and Oncology, having authored 88 papers that have together received 3.6k indexed citations. Recurring topics across this work include Spectroscopy Techniques in Biomedical and Chemical Research (28 papers), Spectroscopy and Chemometric Analyses (25 papers), Liver Disease Diagnosis and Treatment (11 papers), Helicobacter pylori-related gastroenterology studies (10 papers), Gastric Cancer Management and Outcomes (8 papers), Esophageal Cancer Research and Treatment (7 papers), Thermography and Photoacoustic Techniques (5 papers) and Genetic factors in colorectal cancer (5 papers). The work is most often cited by research in Biophysics (1.7k citations), Analytical Chemistry (1.3k citations), Gastroenterology (90 citations), Surgery (691 citations) and Radiology, Nuclear Medicine and Imaging (328 citations). Ming Teh has collaborated with scholars based in Singapore, United States and United Kingdom. Frequent co-authors include Khay Guan Yeoh, Khek Yu Ho, Zhiwei Huang, Weitao Zheng, Mads S. Bergholt, Kan Lin, Jimmy Bok Yan So, Seng Khoon Teh, W. Zheng and Asim Shabbir. Their work appears in journals such as Pathology, Gastroenterology, International Journal of Cancer, Journal of Biomedical Optics and Cancer.

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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