Patrick Lam

25 papers receiving 832 citations

Peers

Patrick Lam
Comparison fields: 5 of 80
  • Cell Biology 234
  • Physiology 58
  • Surgery 368
  • Cardiology and Cardiovascular Medicine 156
  • Endocrinology, Diabetes and Metabolism 66
Replace Shuichi Katsushika with:
Shuichi Katsushika Japan
Linda B. Lester United States
Ting-Lin Yang China
Chunmei Yang United States
Ekin Güney United States
D. de la Bastie France
Nicholas Stafford United Kingdom
Katsuki Kobayashi Japan
Orit Aharonovitz Israel
Elina Hakonen Finland
Patrick Lam relative to Shuichi Katsushika Japan Shuichi Katsushika's profile →
Citations per field
00.5×10×15×17.5×
Shuichi Katsushika · 1×
Citations per year

Countries citing papers authored by Patrick Lam

Since Specialization
Citations

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

Fields of papers citing papers by Patrick Lam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004153
2 2008107
3 201267
4 200763
5 200549
6 201849
7 200645
8 200742
9 200739
10 201337
11 200933
12 200728
13 201227
14 202120
15 200918
16 200814
17 201313
18 199812
19 20099
20 20237

About Patrick Lam

Patrick Lam is a scholar working on Surgery, Cell Biology, Cardiology and Cardiovascular Medicine, Molecular Biology and Physiology, having authored 27 papers that have together received 849 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (14 papers), Cellular transport and secretion (8 papers), Cardiac Arrhythmias and Treatments (5 papers), Pancreatitis Pathology and Treatment (4 papers), Erythrocyte Function and Pathophysiology (4 papers), Cardiac pacing and defibrillation studies (3 papers), Cardiac electrophysiology and arrhythmias (2 papers) and Diabetes and associated disorders (2 papers). The work is most often cited by research in Cell Biology (234 citations), Physiology (58 citations), Surgery (368 citations), Cardiology and Cardiovascular Medicine (156 citations) and Endocrinology, Diabetes and Metabolism (66 citations). Patrick Lam has collaborated with scholars based in Canada, United States and Finland. Frequent co-authors include Herbert Y. Gaisano, Paul Schweitzer, Sam Hanon, Laura Iris Cosen-Binker, Laura Sheu, Robert G. Tsushima, Marcelo Gustavo Binker, Michael B. Wheeler, Stephen J. Pandol and Naomi Ogawa. Their work appears in journals such as Gastroenterology, Journal of Biological Chemistry, Diabetes, Pacing and Clinical Electrophysiology and Traffic.

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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