Christopher T. Lam

27 papers receiving 523 citations

Peers

Christopher T. Lam
Comparison fields: 5 of 86
  • Epidemiology 157
  • Obstetrics and Gynecology 24
  • Health Informatics 4
  • Nutrition and Dietetics 41
  • Cardiology and Cardiovascular Medicine 54
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Xu H China
Konstantinos A. Papathanasiou Greece
Vishy Mahadevan United Kingdom
Derya Öztürk Türkiye
Cherry Kim South Korea
Dahai Zhao China
Silin Pan China
Jun Zeng China
Elena Surkova United Kingdom
Ahmed S. Said United States
Christopher T. Lam relative to Xu H China Xu H's profile →
Citations per field
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Citations per year

Countries citing papers authored by Christopher T. Lam

Since Specialization
Citations

This map shows the geographic impact of Christopher T. 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 Christopher T. Lam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher T. Lam more than expected).

Fields of papers citing papers by Christopher T. Lam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201890
2 201558
3 201249
4 201448
5
Vacuum-assisted venous drainage during fetal cardiopulmonary bypass.
200637
6 200535
7 201830
8 201926
9 201726
10 200819
11 202114
12 202012
13 200712
14 200511
15 200910
16 20189
17 20108
18 20098
19 20227
20 20106

About Christopher T. Lam

Christopher T. Lam is a scholar working on Epidemiology, Surgery, Molecular Biology, Oncology and Artificial Intelligence, having authored 28 papers that have together received 537 indexed citations. Recurring topics across this work include Cervical Cancer and HPV Research (7 papers), Heat shock proteins research (2 papers), High Altitude and Hypoxia (2 papers), Cardiac and Coronary Surgery Techniques (2 papers), Congenital Diaphragmatic Hernia Studies (2 papers), Cardiac Arrest and Resuscitation (2 papers), Mechanical Circulatory Support Devices (2 papers) and thermodynamics and calorimetric analyses (2 papers). The work is most often cited by research in Epidemiology (157 citations), Obstetrics and Gynecology (24 citations), Health Informatics (4 citations), Nutrition and Dietetics (41 citations) and Cardiology and Cardiovascular Medicine (54 citations). Christopher T. Lam has collaborated with scholars based in United States, China and Peru. Frequent co-authors include Nirmala Ramanujam, John W. Schmitt, Pirooz Eghtesady, Jenna L. Mueller, Richard S. Baker, Mercy Asiedu, Marlee Krieger, Gino Venegas, Guillermo Sapiro and Kenneth E. Clark. Their work appears in journals such as The Annals of Thoracic Surgery, PLoS ONE, IEEE Transactions on Biomedical Engineering, Journal of Thoracic and Cardiovascular Surgery and ASAIO Journal.

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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