Calvin Ke

4.2k citations
34 papers · 621 · 2 hit papers · h-index 11

Impact in

Papers in

Calvin Ke

29 papers receiving 614 citations

Calvin Ke's Hit Papers

Current insights and emerging trends in early-onset type 2 diabetes 2023 · 105 citations
1050+1+2Years since publication50100150

Peers

Calvin Ke
Comparison fields: 5 of 78
  • Endocrinology, Diabetes and Metabolism 229
  • Nephrology 21
  • Genetics 84
  • Obstetrics and Gynecology 18
  • Physiology 51
Replace Thaddäus Tönnies with:
Thaddäus Tönnies Germany
Jedidiah I Morton Australia
Weigang Zhao China
Virginia Bellido Spain
Asma Maqsood Pakistan
Eugen Moța Romania
A B Okesina Nigeria
Carla Márcia Moreira Lanna Brazil
Sang Ah Chang South Korea
G Lloveras Spain
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Citations per field
00.5×
Thaddäus Tönnies · 1×
Citations per year

Countries citing papers authored by Calvin Ke

Since Specialization
Citations

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

Fields of papers citing papers by Calvin Ke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Pathophysiology, phenotypes and management of type 2 diabetes mellitus in Indian and Chinese populations
Hit paper breakdown →
2022154
2
Current insights and emerging trends in early-onset type 2 diabetes
Hit paper breakdown →
2023105
3 201968
4 202064
5 202042
6 201926
7 201922
8 202218
9 202118
10 201416
11 202012
12 20169
13 20199
14 20188
15 20217
16 20236
17 20176
18 20245
19 20204
20 20244

About Calvin Ke

Calvin Ke is a scholar working on Endocrinology, Diabetes and Metabolism, Public Health, Environmental and Occupational Health, General Health Professions, Genetics and Surgery, having authored 34 papers that have together received 621 indexed citations. Recurring topics across this work include Diabetes and associated disorders (4 papers), Diabetes Treatment and Management (4 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Diabetes Management and Research (2 papers), Diabetes Management and Education (2 papers), Clinical practice guidelines implementation (2 papers), Diet and metabolism studies (2 papers) and Gestational Diabetes Research and Management (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (229 citations), Nephrology (21 citations), Genetics (84 citations), Obstetrics and Gynecology (18 citations) and Physiology (51 citations). Calvin Ke has collaborated with scholars based in Canada, Hong Kong and China. Frequent co-authors include Baiju R. Shah, Juliana C.N. Chan, Andrea O. Y. Luk, Prabhat Jha, K.M. Venkat Narayan, Ronald C.W., Elaine Chow, Alice P.S. Kong, Eric S. H. Lau and Wing‐Yee So. Their work appears in journals such as Canadian Journal of Diabetes, Cardiovascular Diabetology, PLoS Medicine, BMC Medical Research Methodology and Neurology.

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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