Leo Lam

29 papers receiving 556 citations

Peers

Leo Lam
Comparison fields: 5 of 71
  • Structural Biology 23
  • Cardiology and Cardiovascular Medicine 299
  • Biophysics 46
  • Toxicology 20
  • Cellular and Molecular Neuroscience 89
Replace Yufeng Hou with:
Yufeng Hou Norway
Xin Shen Norway
Bhagavathi Ramamurthy United States
Kornélia Jaquet Germany
Masahiro Doi Japan
Daniel R. Feldman United States
Tomoyoshi Kobayashi United States
Kohei Nakanishi Japan
Yuping Xie China
Youngran Chung United States
Leo Lam relative to Yufeng Hou Norway Yufeng Hou's profile →
Citations per field
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Citations per year

Countries citing papers authored by Leo Lam

Since Specialization
Citations

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

Fields of papers citing papers by Leo Lam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009239
2 202047
3 201328
4 202325
5 201819
6 202217
7 201816
8 202115
9 202015
10 201915
11 202114
12 201812
13 201612
14 201910
15 201810
16 201810
17 201710
18 20178
19 20178
20 20236

About Leo Lam

Leo Lam is a scholar working on Cardiology and Cardiovascular Medicine, Surgery, Neurology, Public Health, Environmental and Occupational Health and Endocrinology, Diabetes and Metabolism, having authored 32 papers that have together received 565 indexed citations. Recurring topics across this work include Acute Myocardial Infarction Research (8 papers), Injury Epidemiology and Prevention (5 papers), Cerebrospinal fluid and hydrocephalus (4 papers), Traumatic Brain Injury and Neurovascular Disturbances (4 papers), Neuroscience of respiration and sleep (4 papers), Cardiac electrophysiology and arrhythmias (3 papers), Forensic Toxicology and Drug Analysis (3 papers) and Autopsy Techniques and Outcomes (2 papers). The work is most often cited by research in Structural Biology (23 citations), Cardiology and Cardiovascular Medicine (299 citations), Biophysics (46 citations), Toxicology (20 citations) and Cellular and Molecular Neuroscience (89 citations). Leo Lam has collaborated with scholars based in New Zealand, Australia and Switzerland. Frequent co-authors include David Baddeley, Sabrina Roßberger, Christian Soeller, Izzy Jayasinghe, Mark B. Cannell, Campbell Kyle, Rexson Tse, Julie C. Lim, Paul J. Donaldson and Jack Garland. Their work appears in journals such as American Journal of Forensic Medicine & Pathology, Clinical Chemistry, Annals of Clinical Biochemistry International Journal of Laboratory Medicine, Clinical Chemistry and Laboratory Medicine (CCLM) and Pathology.

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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