Eric Lam

33 papers receiving 521 citations

Peers

Eric Lam
Comparison fields: 5 of 48
  • Gastroenterology 81
  • Anesthesiology and Pain Medicine 64
  • Oncology 192
  • Surgery 217
  • Pulmonary and Respiratory Medicine 153
Replace J. J. Gonvers with:
J. J. Gonvers Switzerland
B. Rumstadt Germany
Kimberly Foley United States
Gilles Lesur France
Claudio Tombazzi United States
Suck-Ho Lee South Korea
Norman Oneil Machado Oman
F Parı́s Spain
Christoph Schlag Germany
Waldemar Uhl Germany
Eric Lam relative to J. J. Gonvers Switzerland J. J. Gonvers's profile →
Citations per field
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J. J. Gonvers · 1×
Citations per year

Countries citing papers authored by Eric Lam

Since Specialization
Citations

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

Fields of papers citing papers by Eric Lam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200987
2 201466
3 200842
4 201337
5 200433
6 201730
7 201730
8 201428
9 201618
10 201817
11 201116
12 201815
13 200615
14 200914
15 198412
16 202011
17 201610
18 20219
19 20216
20 20226

About Eric Lam

Eric Lam is a scholar working on Oncology, Surgery, Pulmonary and Respiratory Medicine, Epidemiology and Rheumatology, having authored 35 papers that have together received 533 indexed citations. Recurring topics across this work include Colorectal Cancer Screening and Detection (5 papers), Pancreatic and Hepatic Oncology Research (5 papers), Gallbladder and Bile Duct Disorders (4 papers), Neuroendocrine Tumor Research Advances (4 papers), Gastrointestinal Bleeding Diagnosis and Treatment (4 papers), IgG4-Related and Inflammatory Diseases (3 papers), Gastrointestinal disorders and treatments (3 papers) and Gastric Cancer Management and Outcomes (3 papers). The work is most often cited by research in Gastroenterology (81 citations), Anesthesiology and Pain Medicine (64 citations), Oncology (192 citations), Surgery (217 citations) and Pulmonary and Respiratory Medicine (153 citations). Eric Lam has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Robert Enns, Jennifer J. Telford, Anand V. Sahai, Valéry Lemelin, Sarto C. Paquin, George Ou, Jack Amar, Brian Bressler, Hin Hin Ko and Fergal Donnellan. Their work appears in journals such as Gastrointestinal Endoscopy, Canadian Journal of Gastroenterology and Hepatology, Endoscopic Ultrasound, Annals of Clinical Biochemistry International Journal of Laboratory Medicine and Digestive Diseases and Sciences.

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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