Stephen Lam

26.4k total citations · 3 hit papers
299 papers, 14.7k citations indexed

About

Stephen Lam is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology and Biomedical Engineering. According to data from OpenAlex, Stephen Lam has authored 299 papers receiving a total of 14.7k indexed citations (citations by other indexed papers that have themselves been cited), including 164 papers in Pulmonary and Respiratory Medicine, 59 papers in Molecular Biology and 59 papers in Biomedical Engineering. Recurrent topics in Stephen Lam's work include Lung Cancer Diagnosis and Treatment (101 papers), Lung Cancer Treatments and Mutations (38 papers) and Photoacoustic and Ultrasonic Imaging (37 papers). Stephen Lam is often cited by papers focused on Lung Cancer Diagnosis and Treatment (101 papers), Lung Cancer Treatments and Mutations (38 papers) and Photoacoustic and Ultrasonic Imaging (37 papers). Stephen Lam collaborates with scholars based in Canada, United States and United Kingdom. Stephen Lam's co-authors include Annette McWilliams, Calum MacAulay, Branko Palcic, Jean LeRiche, Jaclyn Y. Hung, Adi F. Gazdar, John R. Mayo, Wan L. Lam, Haishan Zeng and Alvin V. Ng and has published in prestigious journals such as New England Journal of Medicine, Journal of the American Chemical Society and Journal of Clinical Oncology.

In The Last Decade

Stephen Lam

288 papers receiving 14.2k citations

Hit Papers

Small-Airway Obstruction ... 2003 2026 2010 2018 2011 2007 2003 250 500 750

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Stephen Lam 7.0k 4.4k 2.5k 2.1k 2.0k 299 14.7k
Noel W. Clarke 4.5k 0.6× 2.9k 0.7× 2.8k 1.1× 1.5k 0.7× 588 0.3× 384 11.0k
Axel Walch 2.2k 0.3× 6.4k 1.5× 2.5k 1.0× 1.8k 0.9× 984 0.5× 336 13.6k
Frank M. Torti 3.6k 0.5× 7.5k 1.7× 3.1k 1.2× 2.5k 1.2× 1.0k 0.5× 240 21.9k
Hong Wang 3.4k 0.5× 9.9k 2.3× 6.9k 2.8× 3.1k 1.5× 857 0.4× 749 25.2k
Shao Hui Huang 2.1k 0.3× 3.3k 0.8× 2.2k 0.9× 1.3k 0.6× 611 0.3× 290 11.0k
Satoru Takahashi 2.6k 0.4× 4.0k 0.9× 1.7k 0.7× 2.5k 1.2× 475 0.2× 506 12.0k
Klaus Jung 4.9k 0.7× 8.7k 2.0× 3.4k 1.4× 5.6k 2.7× 1.1k 0.6× 594 19.7k
Marise Souto Rebelo 5.4k 0.8× 7.2k 1.7× 8.2k 3.3× 4.7k 2.3× 805 0.4× 6 22.7k
Sultan Eser 5.5k 0.8× 7.3k 1.7× 8.6k 3.5× 4.7k 2.3× 809 0.4× 43 23.4k
David W. Hedley 2.9k 0.4× 6.9k 1.6× 6.6k 2.7× 5.1k 2.4× 1.0k 0.5× 322 17.2k

Countries citing papers authored by Stephen Lam

Since Specialization
Citations

This map shows the geographic impact of Stephen 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 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 Lam more than expected).

Fields of papers citing papers by Stephen Lam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephen Lam

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen Lam. A scholar is included among the top collaborators of Stephen Lam based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Stephen Lam. Stephen Lam is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
2.
Ruszkiewicz, Dorota, et al.. (2024). Benchmarking breath analysis using peppermint approach with gas chromatography ion mobility spectrometer coupled to micro thermal desorber. Journal of Breath Research. 18(4). 46001–46001. 1 indexed citations
3.
Naso, Julia, Stephen Yip, Curtis Hughesman, et al.. (2024). Confirmation of Recurrent Lung Cancer Following Resection Using Liquid Biopsy, a Proof-of-Concept Real-World Study. Current Oncology. 31(7). 4052–4062. 1 indexed citations
5.
Marshall, Erin A., Avery J. C. Noonan, Fernando Sergio Leitão Filho, et al.. (2023). Methionine-producing tumor micro(be) environment fuels growth of solid tumors. Cellular Oncology. 46(6). 1659–1673. 10 indexed citations
7.
Fahrmann, Johannes F., Tracey L. Marsh, Ehsan Irajizad, et al.. (2022). Blood-Based Biomarker Panel for Personalized Lung Cancer Risk Assessment. Journal of Clinical Oncology. 40(8). 876–883. 57 indexed citations
8.
Myers, Renelle, et al.. (2022). Breath collection protocol for SARS-CoV-2 testing in an ambulatory setting. Journal of Breath Research. 16(2). 27105–27105. 6 indexed citations
9.
Wang, Gang, Diana N. Ionescu, Cheng‐Han Lee, et al.. (2019). PD-L1 testing on the EBUS-FNA cytology specimens of non-small cell lung cancer. Lung Cancer. 136. 1–5. 27 indexed citations
10.
Beane, Jennifer, Sarah A. Mazzilli, Anna M. Tassinari, et al.. (2017). Detecting the Presence and Progression of Premalignant Lung Lesions via Airway Gene Expression. Clinical Cancer Research. 23(17). 5091–5100. 30 indexed citations
11.
Law, F. C. P., Meicun Yao, Huichang Bi, & Stephen Lam. (2017). Physiologically based pharmacokinetic modeling of tea catechin mixture in rats and humans. Pharmacology Research & Perspectives. 5(3). e00305–e00305. 21 indexed citations
12.
Bosiljcic, Momir, Rebecca M. Anderson, Matthew P. Alexander, et al.. (2017). Harnessing innate lung anti-cancer effector functions with a novel bacterial-derived immunotherapy. OncoImmunology. 7(3). e1398875–e1398875. 13 indexed citations
13.
Taguchi, Ayumu, Allen D. Taylor, Jaime Rodriguez‐Canales, et al.. (2014). A Search for Novel Cancer/Testis Antigens in Lung Cancer Identifies VCX/Y Genes, Expanding the Repertoire of Potential Immunotherapeutic Targets. Cancer Research. 74(17). 4694–4705. 36 indexed citations
14.
Pikor, Larissa A., William W. Lockwood, Kelsie L. Thu, et al.. (2013). YEATS4 Is a Novel Oncogene Amplified in Non–Small Cell Lung Cancer That Regulates the p53 Pathway. Cancer Research. 73(24). 7301–7312. 39 indexed citations
15.
Tammemägi, Martin C., Stephen Lam, Annette McWilliams, & Don D. Sin. (2011). Incremental Value of Pulmonary Function and Sputum DNA Image Cytometry in Lung Cancer Risk Prediction. Cancer Prevention Research. 4(4). 552–561. 46 indexed citations
16.
Lam, Stephen, Peter Boyle, Graham Healey, et al.. (2011). Early CDT-Lung: An Immunobiomarker Test as an Aid to Early Detection of Lung Cancer. Cancer Prevention Research. 4(7). 1126–1134. 118 indexed citations
17.
Yee, John, Marianne D. Sadar, Don D. Sin, et al.. (2009). Connective Tissue-Activating Peptide III: A Novel Blood Biomarker for Early Lung Cancer Detection. Journal of Clinical Oncology. 27(17). 2787–2792. 69 indexed citations
18.
Lee, Pyng, Stephen Lam, Adi F. Gazdar, et al.. (2009). Color Fluorescence Ratio for Detection of Bronchial Dysplasia and Carcinoma In situ. Clinical Cancer Research. 15(14). 4700–4705. 31 indexed citations
19.
Ho, Maria, Alvin V. Ng, Stephen Lam, & Jaclyn Y. Hung. (2007). Side Population in Human Lung Cancer Cell Lines and Tumors Is Enriched with Stem-like Cancer Cells. Cancer Research. 67(10). 4827–4833. 772 indexed citations breakdown →
20.
Grzeszkiewicz, Tatiana M., Volkhard Lindner, Ningyu Chen, Stephen Lam, & Lester F. Lau. (2002). The Angiogenic Factor Cysteine-Rich 61 (CYR61, CCN1) Supports Vascular Smooth Muscle Cell Adhesion and Stimulates Chemotaxis through Integrin α6β1 and Cell Surface Heparan Sulfate Proteoglycans. Endocrinology. 143(4). 1441–1450. 160 indexed citations

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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