Stephen C. Lam

33.1k citations
490 papers · 26k · 10 hit papers · h-index 84

Impact in

    • Lung Cancer Diagnosis and Treatment
    • Chronic Obstructive Pulmonary Disease (COPD) Research
    • Lung Cancer Treatments and Mutations
  • Biophysics top 0.1%
    • Spectroscopy Techniques in Biomedical and Chemical Research

Papers in

    • Lung Cancer Diagnosis and Treatment 178
    • Chronic Obstructive Pulmonary Disease (COPD) Research 55
    • Lung Cancer Treatments and Mutations 33
    • Lung Cancer Research Studies 73

Stephen C. Lam

467 papers receiving 24.9k citations

Stephen C. Lam's Hit Papers

Radiomics analysis to predict pulmonary nodule malignancy using machine learning approaches 2024 · 56 citations
560+9+18Years since publication2505007501k

Peers

Stephen C. Lam
Comparison fields: 5 of 197
  • Pulmonary and Respiratory Medicine 10.2k
  • Biophysics 1.5k
  • Oncology 4.1k
  • Cancer Research 2.1k
  • Physiology 2k
Replace Stephen M. Hewitt with:
Stephen M. Hewitt United States
Lawrence D. True United States
Peter R. Galle Germany
Carolyn C. Compton United States
Axel Karl Walch Germany
Sholom Wacholder United States
David William Hedley Canada
Holger Moch Switzerland
Anthony J. Swerdlow United Kingdom
Theodorus van der Kwast Canada
Stephen C. Lam relative to Stephen M. Hewitt United States Stephen M. Hewitt's profile →
Citations per field
00.5×2×2.7×
Stephen M. Hewitt · 1×
Citations per year

Countries citing papers authored by Stephen C. Lam

Since Specialization
Citations

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

Fields of papers citing papers by Stephen C. Lam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 490 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Probability of Cancer in Pulmonary Nodules Detected on First Screening CT
Hit paper breakdown →
20131080
2
Small-Airway Obstruction and Emphysema in Chronic Obstructive Pulmonary Disease
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2011980
3
Side Population in Human Lung Cancer Cell Lines and Tumors Is Enriched with Stem-like Cancer Cells
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2007817
4
Near‐infrared Raman spectroscopy for optical diagnosis of lung cancer
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2003717
5
Obesity, metabolic factors and risk of different histological types of lung cancer: A Mendelian randomization study
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2017611
6
Lung adenocarcinoma promotion by air pollutants
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2023546
7
Large-scale association analysis identifies new lung cancer susceptibility loci and heterogeneity in genetic susceptibility across histological subtypes
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2017514
8
Localization of Bronchial Intraepithelial Neoplastic Lesions by Fluorescence Bronchoscopy
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1998439
9 1997410
10
High resolution chromosome 3p allelotyping of human lung cancer and preneoplastic/preinvasive bronchial epithelium reveals multiple, discontinuous sites of 3p allele loss and three regions of frequent breakpoints.
2000334
11 2011320
12
Treatment and prevention of intraepithelial neoplasia: an important target for accelerated new agent development.
2002316
13 1991315
14 1993304
15 2013292
16 1982264
17 2015239
18 2010229
19
5' CpG island methylation of the FHIT gene is correlated with loss of gene expression in lung and breast cancer.
2001228
20 2006228

About Stephen C. Lam

Stephen C. Lam is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Cancer Research, Radiology, Nuclear Medicine and Imaging and Biophysics, having authored 490 papers that have together received 26k indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (178 papers), Lung Cancer Research Studies (73 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (55 papers), Lung Cancer Treatments and Mutations (33 papers), Genetic Associations and Epidemiology (31 papers), Optical Imaging and Spectroscopy Techniques (29 papers), Optical Coherence Tomography Applications (26 papers) and Cancer Genomics and Diagnostics (23 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (10.2k citations), Biophysics (1.5k citations), Oncology (4.1k citations), Cancer Research (2.1k citations) and Physiology (2k citations). Stephen C. Lam has collaborated with scholars based in Canada, United States and France. Frequent co-authors include Annette M. McWilliams, Calum E. MacAulay, Jean LeRiche, Wan L. Lam, Branko Palcic, Jaclyn Y. Hung, Adi F. Gazdar, John Robert Mayo, Haishan Zeng and Moira Chan‐Yeung. Their work appears in journals such as Journal of Thoracic Oncology, CHEST Journal, American Journal of Respiratory and Critical Care Medicine, Lung Cancer and PLoS ONE.

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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