Kim Lamont

18 papers receiving 672 citations

Peers

Kim Lamont
Comparison fields: 5 of 115
  • Finance 150
  • Endocrine and Autonomic Systems 85
  • Pediatrics, Perinatology and Child Health 241
  • Obstetrics and Gynecology 90
  • Aging 18
Replace Niels H. Wacher with:
Niels H. Wacher Mexico
Cecilia Galbete Germany
Ranjana Singh India
Mike Lean United Kingdom
Till Seuring Luxembourg
Jacob Mtabaji Tanzania
Hasan İlkova Türkiye
Harry Glauber United States
Priti Biswas United Kingdom
Kim Lamont relative to Niels H. Wacher Mexico Niels H. Wacher's profile →
Citations per field
00.5×10×15×18.8×
Niels H. Wacher · 1×
Citations per year

Countries citing papers authored by Kim Lamont

Since Specialization
Citations

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

Fields of papers citing papers by Kim Lamont

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2015152
2 2015146
3 201177
4 201175
5 201557
6 201049
7 201527
8 201527
9 201424
10 201213
11 201512
12 201710
13 20209
14 20177
15 20175
16 20193
17 20171
18
Wine and heart health : learning from the French paradox : the French paradox
20111

About Kim Lamont

Kim Lamont is a scholar working on Cardiology and Cardiovascular Medicine, Pediatrics, Perinatology and Child Health, Physiology, Pathology and Forensic Medicine and Endocrinology, Diabetes and Metabolism, having authored 18 papers that have together received 695 indexed citations. Recurring topics across this work include Global Maternal and Child Health (3 papers), Diet, Metabolism, and Disease (2 papers), Alcohol Consumption and Health Effects (2 papers), Heart Failure Treatment and Management (2 papers), Healthcare Policy and Management (2 papers), Adipose Tissue and Metabolism (2 papers), Circadian rhythm and melatonin (2 papers) and Antioxidant Activity and Oxidative Stress (2 papers). The work is most often cited by research in Finance (150 citations), Endocrine and Autonomic Systems (85 citations), Pediatrics, Perinatology and Child Health (241 citations), Obstetrics and Gynecology (90 citations) and Aging (18 citations). Kim Lamont has collaborated with scholars based in South Africa, United Kingdom and Australia. Frequent co-authors include Sandrine Lecour, Lionel H. Opie, Gareth T. Jones, Neil Scott, Siladitya Bhattacharya, Charles Shey Wiysonge, John E. Ataguba, Olalekan A. Uthman, Erin Stern and Lydia Lacerda. Their work appears in journals such as Journal of Pineal Research, Mini-Reviews in Medicinal Chemistry, BMJ Open, International Journal of Cardiology and BMC Health Services Research.

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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