Ming Ming Teh

871 total citations
31 papers, 635 citations indexed

About

Ming Ming Teh is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Ming Ming Teh has authored 31 papers receiving a total of 635 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Endocrinology, Diabetes and Metabolism, 7 papers in Surgery and 6 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Ming Ming Teh's work include Diabetes Management and Research (14 papers), Diabetes Treatment and Management (8 papers) and Hyperglycemia and glycemic control in critically ill and hospitalized patients (7 papers). Ming Ming Teh is often cited by papers focused on Diabetes Management and Research (14 papers), Diabetes Treatment and Management (8 papers) and Hyperglycemia and glycemic control in critically ill and hospitalized patients (7 papers). Ming Ming Teh collaborates with scholars based in Singapore, United Kingdom and Australia. Ming Ming Teh's co-authors include Adeline Seow, Philip Eng, Hin-Peng Lee, Wee‐Teng Poh, Mimi C. Yu, Bin Zhao, Yee‐Tang Wang, P. M. Y. Goh, Andrea Rajnakova and Ahmet Alponat and has published in prestigious journals such as SHILAP Revista de lepidopterología, NeuroImage and Diabetologia.

In The Last Decade

Ming Ming Teh

27 papers receiving 616 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ming Ming Teh Singapore 12 236 135 108 102 79 31 635
Mariola Śliwińska‐Mossoń Poland 13 171 0.7× 150 1.1× 147 1.4× 77 0.8× 104 1.3× 42 653
Hideo Yamamori Japan 17 180 0.8× 219 1.6× 56 0.5× 112 1.1× 54 0.7× 60 862
Ali Bouslama Tunisia 15 118 0.5× 78 0.6× 93 0.9× 97 1.0× 28 0.4× 55 682
Christopher A. Smith United Kingdom 5 330 1.4× 69 0.5× 93 0.9× 222 2.2× 68 0.9× 5 807
Rexiati Ruze China 13 253 1.1× 155 1.1× 146 1.4× 71 0.7× 125 1.6× 29 773
Shujun Zhou China 14 215 0.9× 69 0.5× 64 0.6× 49 0.5× 48 0.6× 30 512
Hong Luo China 17 208 0.9× 58 0.4× 50 0.5× 49 0.5× 72 0.9× 42 645
Nai‐Chieh Y. You United States 12 178 0.8× 80 0.6× 51 0.5× 21 0.2× 60 0.8× 16 532
Erin L. Ashbeck United States 19 155 0.7× 129 1.0× 37 0.3× 117 1.1× 96 1.2× 46 865
Yan Qian China 11 186 0.8× 51 0.4× 45 0.4× 77 0.8× 103 1.3× 38 574

Countries citing papers authored by Ming Ming Teh

Since Specialization
Citations

This map shows the geographic impact of Ming 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 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 Ming Teh more than expected).

Fields of papers citing papers by Ming Ming Teh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming Ming Teh

This figure shows the co-authorship network connecting the top 25 collaborators of Ming Ming Teh. A scholar is included among the top collaborators of Ming Ming Teh based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ming Ming Teh. Ming Ming Teh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Chan, Wharton O. Y., et al.. (2025). Temporal patterns of inpatient hypoglycaemia are treatment-dependent. Therapeutic Advances in Endocrinology and Metabolism. 16. 2465708029–2465708029.
2.
Chandran, Suresh, et al.. (2025). Identifying high glucose variability using non-glycemic factors in low continuous glucose monitoring use settings. Primary care diabetes. 19(6). 624–628.
3.
Yoon, Sungwon, Hendra Goh, Phong Ching Lee, et al.. (2024). Assessing the Utility, Impact, and Adoption Challenges of an Artificial Intelligence–Enabled Prescription Advisory Tool for Type 2 Diabetes Management: Qualitative Study. JMIR Human Factors. 11. e50939–e50939. 4 indexed citations
5.
Choudhary, Pratik, et al.. (2022). High incidence of undetected low sensor glucose events among elderly patients with type 2 diabetes more than a decade on after the ACCORD study. Current Medical Research and Opinion. 38(8). 1411–1415. 2 indexed citations
6.
Lee, Wai Kit, et al.. (2022). A Cross-Sectional study on risk factors for severe hypoglycemia among Insulin-Treated elderly type 2 diabetes Mellitus (T2DM) patients in Singapore. Diabetes Research and Clinical Practice. 185. 109236–109236. 3 indexed citations
7.
Dunn, Joel, Pratik Choudhary, Ming Ming Teh, et al.. (2018). The impact of hypoglycaemia awareness status on regional brain responses to acute hypoglycaemia in men with type 1 diabetes. Diabetologia. 61(7). 1676–1687. 13 indexed citations
8.
Vathsala, Anantharaman, et al.. (2018). Explant Biopsy and Remuzzi Scoring Outperforms Kidney Donor Profile Index (KDPI) in Selection of Extended Criteria Donor Kidneys for Single Implant. Transplantation. 102(Supplement 7). S401–S401. 4 indexed citations
9.
Zhu, Ling, Wee Boon Tan, Xiaohui Xin, et al.. (2017). A study to evaluate the prevalence of impaired awareness of hypoglycaemia in adults with type 2 diabetes in outpatient clinic in a tertiary care centre in Singapore. Therapeutic Advances in Endocrinology and Metabolism. 8(5). 69–74. 12 indexed citations
10.
Teh, Ming Ming, et al.. (2016). Primary pulmonary clear cell sarcoma—the first two reported cases. Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin. 469(1). 111–117. 8 indexed citations
11.
Brown, Adrian, Emily J. Fox, W.T.A. Todd, et al.. (2015). Description and preliminary results from a structured specialist behavioural weight management group intervention: Specialist Lifestyle Management (SLiM) programme. BMJ Open. 5(4). e007217–e007217. 21 indexed citations
12.
Lim, Wei‐Yen, Khoon Leong Chuah, Philip Eng, et al.. (2011). Meat Consumption and Risk of Lung Cancer Among Never-Smoking Women. Nutrition and Cancer. 63(6). 850–859. 24 indexed citations
13.
Das, Kakoli, Diana Lim, Liang Shen, et al.. (2010). Differential expression of steroid 5α-reductase isozymes and association with disease severity and angiogenic genes predict their biological role in prostate cancer. Endocrine Related Cancer. 17(3). 757–770. 27 indexed citations
14.
Teh, Ming Ming, Joel Dunn, Pratik Choudhary, et al.. (2010). Evolution and resolution of human brain perfusion responses to the stress of induced hypoglycemia. NeuroImage. 53(2). 584–592. 41 indexed citations
15.
Huda, M. S. B., et al.. (2009). Factors determining the remission of microprolactinomas after dopamine agonist withdrawal. Clinical Endocrinology. 72(4). 507–511. 25 indexed citations
16.
Seow, Adeline, Bin Zhao, Wee‐Teng Poh, et al.. (2001). Cytochrome P4501A2 (CYP1A2) activity and lung cancer risk: a preliminary study among Chinese women in Singapore. Carcinogenesis. 22(4). 673–677. 34 indexed citations
17.
Seow, Adeline, Bin Zhao, Wee‐Teng Poh, et al.. (1999). NAT2 slow acetylator genotype is associated with increased risk of lung cancer among non-smoking Chinese women in Singapore. Carcinogenesis. 20(9). 1877–1881. 39 indexed citations
19.
Alponat, Ahmet, Ming Ming Teh, Andrea Rajnakova, et al.. (1997). Effects of Physical Barriers in Prevention of Adhesions: An Incisional Hernia Model in Rats. Journal of Surgical Research. 68(2). 126–132. 60 indexed citations
20.
Teh, Ming Ming, et al.. (1996). Extraskeletal Ewing's sarcoma presenting with pulmonary embolism. Australasian Radiology. 40(2). 175–178. 7 indexed citations

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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