Michael A. Thompson

18.0k total citations · 2 hit papers
312 papers, 10.2k citations indexed

About

Michael A. Thompson is a scholar working on Molecular Biology, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Michael A. Thompson has authored 312 papers receiving a total of 10.2k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Molecular Biology, 44 papers in Oncology and 36 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Michael A. Thompson's work include Ion Channels and Receptors (26 papers), Asthma and respiratory diseases (23 papers) and Social Media in Health Education (22 papers). Michael A. Thompson is often cited by papers focused on Ion Channels and Receptors (26 papers), Asthma and respiratory diseases (23 papers) and Social Media in Health Education (22 papers). Michael A. Thompson collaborates with scholars based in United States, United Kingdom and Canada. Michael A. Thompson's co-authors include Y. S. Prakash, Christina M. Pabelick, W. E. Moerner, Rafael C. González, P. A. Wintz, Eduardo N. Chini, Julie S. Biteen, Thomas A. White, Venkatachalem Sathish and Samuel J. Lord and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Materials.

In The Last Decade

Michael A. Thompson

286 papers receiving 9.9k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Digital Image Processing

1981 855 citations Michael A. Thompson et al. profile →
Three-dimensional, single-molecule fluorescence imaging beyond the diffraction limit by using a double-helix point spread function

2009 756 citations Michael A. Thompson et al. profile →

Author Peers

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

Author						Papers	Cites
Michael A. Thompson	2.5k	1.5k	1.3k	1.2k	1.2k	312	10.2k
Masaru Ishii	4.2k 1.7×	866 0.6×	253 0.2×	986 0.8×	644 0.6×	649	14.9k
Lai Guan Ng	5.5k 2.2×	1.6k 1.1×	526 0.4×	1.6k 1.3×	833 0.7×	109	16.9k
Mingjie Zhang	11.5k 4.6×	1.3k 0.9×	283 0.2×	1.8k 1.5×	482 0.4×	932	23.0k
David E. Golan	7.4k 3.0×	1.6k 1.1×	331 0.2×	775 0.6×	635 0.5×	144	13.3k
Paul W. Sternberg	13.9k 5.6×	2.5k 1.7×	385 0.3×	776 0.6×	385 0.3×	579	33.1k
Peter A. Calabresi	7.5k 3.0×	1.2k 0.8×	265 0.2×	2.4k 2.0×	983 0.8×	552	35.2k
Nikolay V. Dokholyan	10.3k 4.1×	1.6k 1.1×	325 0.2×	520 0.4×	1.2k 1.0×	370	14.7k
Mark E. Anderson	9.4k 3.8×	1.3k 0.9×	200 0.1×	404 0.3×	518 0.4×	259	14.9k
Stephen T.C. Wong	6.8k 2.7×	758 0.5×	2.1k 1.6×	1.2k 1.0×	1.4k 1.2×	493	16.9k
Douglas L. Arnold	6.4k 2.6×	1.4k 1.0×	467 0.4×	1.5k 1.2×	532 0.5×	705	32.4k

Countries citing papers authored by Michael A. Thompson

Since Specialization

Citations

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

Fields of papers citing papers by Michael A. Thompson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael A. Thompson. 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 Michael A. Thompson. The network helps show where Michael A. Thompson may publish in the future.

Co-authorship network of co-authors of Michael A. Thompson

This figure shows the co-authorship network connecting the top 25 collaborators of Michael A. Thompson. A scholar is included among the top collaborators of Michael A. Thompson 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 Michael A. Thompson. Michael A. Thompson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Sankar, K. Nathan, E. S. Williams, Michael A. Thompson, et al.. (2025). DNA damage repair gene alterations influence the tumor immune microenvironment in advanced non-small cell lung cancer. Lung Cancer. 201. 108444–108444.

Cai, Guoqi, Laura L Laslett, Michael A. Thompson, et al.. (2024). Effect of Intravenous Zoledronic Acid on Total Knee Replacement in Patients With Symptomatic Knee Osteoarthritis and Without Severe Joint Space Narrowing: A Prespecified Secondary Analysis of a Two‐Year, Multicenter, Double‐Blind, Placebo‐Controlled Clinical Trial. Arthritis & Rheumatology. 76(7). 1047–1053. 6 indexed citations

Yao, Yang, Mengning Zheng, Michael A. Thompson, et al.. (2024). Role of STIM1 in stretch-induced signaling in human airway smooth muscle. American Journal of Physiology-Lung Cellular and Molecular Physiology. 327(2). L150–L159. 4 indexed citations

Thompson, Michael A., et al.. (2022). Attitude Estimation of Four-Rotor UAV Based on Extended Kalman Filter. 1(2). 72–84. 2 indexed citations

Weese, James L., et al.. (2022). Quantifying the Value of the Molecular Tumor Board: Discordance Recommendation Rate and Drug Cost Avoidance. JCO Precision Oncology. 6(6). e2200132–e2200132. 4 indexed citations

Cai, Guoqi, Graeme Jones, Flavia Cicuttini, et al.. (2022). Study protocol for a randomised controlled trial of diacerein versus placebo to treat knee osteoarthritis with effusion-synovitis (DICKENS). Trials. 23(1). 768–768. 8 indexed citations

Utengen, Audun, Deanna J. Attai, Emily K. Drake, et al.. (2022). Social Media and Professional Development for Oncology Professionals. JCO Oncology Practice. 18(8). 566–571. 10 indexed citations

Spira, Alexander I., Mark Stewart, Suzanne F. Jones, et al.. (2021). Modernizing Clinical Trial Eligibility Criteria: Recommendations of the ASCO-Friends of Cancer Research Laboratory Reference Ranges and Testing Intervals Work Group. Clinical Cancer Research. 27(9). 2416–2423. 20 indexed citations

Hlubocky, Fay J., Banu Symington, Daniel C. McFarland, et al.. (2021). Impact of the COVID-19 Pandemic on Oncologist Burnout, Emotional Well-Being, and Moral Distress: Considerations for the Cancer Organization’s Response for Readiness, Mitigation, and Resilience. JCO Oncology Practice. 17(7). 365–374. 51 indexed citations

10.

Marron, Jonathan M., Don S. Dizon, Banu Symington, Michael A. Thompson, & Abby R. Rosenberg. (2020). Waging War on War Metaphors in Cancer and COVID-19. JCO Oncology Practice. 16(10). 624–627. 23 indexed citations

11.

Wicher, Sarah A., Rodney D. Britt, L. Manlove, et al.. (2019). Calcium sensing receptor in developing human airway smooth muscle. Journal of Cellular Physiology. 234(8). 14187–14197. 14 indexed citations

12.

Vogel, Elizabeth R., L. Manlove, Ine Kuipers, et al.. (2019). Caveolin-1 scaffolding domain peptide prevents hyperoxia-induced airway remodeling in a neonatal mouse model. American Journal of Physiology-Lung Cellular and Molecular Physiology. 317(1). L99–L108. 14 indexed citations

13.

Britt, Rodney D., Michael A. Thompson, Sarah K. Sasse, et al.. (2018). Th1 cytokines TNF-α and IFN-γ promote corticosteroid resistance in developing human airway smooth muscle. American Journal of Physiology-Lung Cellular and Molecular Physiology. 316(1). L71–L81. 52 indexed citations

14.

Fong, Valerie, Austin Hsu, Agnieszka Looney, et al.. (2018). Arhgef12 drives IL17A-induced airway contractility and airway hyperresponsiveness in mice. JCI Insight. 3(21). 11 indexed citations

15.

Freeman, Michelle, Venkatachalem Sathish, L. Manlove, et al.. (2017). Brain-derived neurotrophic factor and airway fibrosis in asthma. American Journal of Physiology-Lung Cellular and Molecular Physiology. 313(2). L360–L370. 39 indexed citations

16.

Delmotte, Philippe, et al.. (2017). TNFα decreases mitochondrial movement in human airway smooth muscle. American Journal of Physiology-Lung Cellular and Molecular Physiology. 313(1). L166–L176. 30 indexed citations

17.

Singh, Suchita, Manish Bodas, Naveen Kumar Bhatraju, et al.. (2016). Hyperinsulinemia adversely affects lung structure and function. American Journal of Physiology-Lung Cellular and Molecular Physiology. 310(9). L837–L845. 79 indexed citations

18.

Weber, Jeffrey S., Laura A. Levit, Peter C. Adamson, et al.. (2014). American Society of Clinical Oncology Policy Statement Update: The Critical Role of Phase I Trials in Cancer Research and Treatment. Journal of Clinical Oncology. 33(3). 278–284. 81 indexed citations

19.

Aravamudan, Bharathi, Sarah Kay VanOosten, Lucas W. Meuchel, et al.. (2012). Caveolin-1 knockout mice exhibit airway hyperreactivity. American Journal of Physiology-Lung Cellular and Molecular Physiology. 303(8). L669–L681. 30 indexed citations

20.

Thompson, Michael A., Brent A. Bauer, Laura L. Loehrer, et al.. (2009). Dietary Supplement S -Adenosyl- l -Methionine (AdoMet) Effects on Plasma Homocysteine Levels in Healthy Human Subjects: A Double-Blind, Placebo-Controlled, Randomized Clinical Trial. The Journal of Alternative and Complementary Medicine. 15(5). 523–529. 16 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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