Carol Lam

26 papers receiving 1.2k citations

Peers

Carol Lam
Comparison fields: 5 of 91
  • Endocrine and Autonomic Systems 485
  • Physiology 446
  • Endocrinology, Diabetes and Metabolism 253
  • Nutrition and Dietetics 172
  • Biological Psychiatry 21
Replace Madhu Chari with:
Madhu Chari Canada
Caroline Ketterer Germany
Koro Gotoh Japan
Andreas Lindqvist Sweden
Liselotte van Bloemendaal Netherlands
Jennifer S. ten Kulve Netherlands
Kristy M. Heppner United States
Pablo B. Martínez de Morentin Spain
Dana K. Sindelar United States
Adam P. Chambers United States
Carol Lam relative to Madhu Chari Canada Madhu Chari's profile →
Citations per field
00.5×
Madhu Chari · 1×
Citations per year

Countries citing papers authored by Carol Lam

Since Specialization
Citations

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

Fields of papers citing papers by Carol Lam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008240
2 2009146
3 200993
4 201391
5 200877
6 201073
7 201068
8 200863
9 201163
10 201053
11 200840
12 200840
13 201336
14 201128
15 201721
16 201917
17 201911
18 201211
19 20168
20 20256

About Carol Lam

Carol Lam is a scholar working on Endocrine and Autonomic Systems, Endocrinology, Diabetes and Metabolism, Surgery, Pulmonary and Respiratory Medicine and Physiology, having authored 26 papers that have together received 1.2k indexed citations. Recurring topics across this work include Regulation of Appetite and Obesity (8 papers), Diet and metabolism studies (2 papers), Diabetes and associated disorders (2 papers), Diabetes Treatment and Management (2 papers), Adipose Tissue and Metabolism (2 papers), Biochemical Analysis and Sensing Techniques (2 papers), Pancreatic function and diabetes (2 papers) and Diabetes Management and Research (1 paper). The work is most often cited by research in Endocrine and Autonomic Systems (485 citations), Physiology (446 citations), Endocrinology, Diabetes and Metabolism (253 citations), Nutrition and Dietetics (172 citations) and Biological Psychiatry (21 citations). Carol Lam has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Madhu Chari, Tony K.T. Lam, Penny Y.T. Wang, Andrea Kokorovic, Grace W.C. Cheung, Gary J. Schwartz, Roger Gutiérrez‐Juárez, Peter E. Light, Michelle Ang and Xiaosong Li. Their work appears in journals such as Diabetes, Journal of Cardiovascular Pharmacology and Therapeutics, JBMR Plus, The Journal of Clinical Endocrinology & Metabolism and Frontiers in Pediatrics.

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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