Suzanne D. Vernon

8.9k total citations · 2 hit papers
120 papers, 5.5k citations indexed

About

Suzanne D. Vernon is a scholar working on Psychiatry and Mental health, Molecular Biology and Epidemiology. According to data from OpenAlex, Suzanne D. Vernon has authored 120 papers receiving a total of 5.5k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Psychiatry and Mental health, 28 papers in Molecular Biology and 28 papers in Epidemiology. Recurrent topics in Suzanne D. Vernon's work include Fibromyalgia and Chronic Fatigue Syndrome Research (64 papers), Cervical Cancer and HPV Research (24 papers) and Molecular Biology Techniques and Applications (17 papers). Suzanne D. Vernon is often cited by papers focused on Fibromyalgia and Chronic Fatigue Syndrome Research (64 papers), Cervical Cancer and HPV Research (24 papers) and Molecular Biology Techniques and Applications (17 papers). Suzanne D. Vernon collaborates with scholars based in United States, Canada and Australia. Suzanne D. Vernon's co-authors include Elizabeth R. Unger, William C. Reeves, Mangalathu S. Rajeevan, Andrew R. Lloyd, Nancy G. Klimas, Gordon Broderick, Ian B. Hickie, Rosane Nisenbaum, Barbara Cameron and Tracey A Davenport and has published in prestigious journals such as Science, New England Journal of Medicine and Nature Medicine.

In The Last Decade

Suzanne D. Vernon

115 papers receiving 5.3k citations

Hit Papers

Post-infective and chronic fatigue syndromes precipitated... 2006 2026 2012 2019 2006 2015 100 200 300 400 500

Peers

Suzanne D. Vernon
David J. Moser United States
Mady Hornig United States
Richard E. Berger United States
Andrea Origoni United States
Abhijit Chaudhuri United Kingdom
Ana W. Capuano United States
Suzanne D. Vernon
Citations per year, relative to Suzanne D. Vernon Suzanne D. Vernon (= 1×) peers Eugène Bosmans

Countries citing papers authored by Suzanne D. Vernon

Since Specialization
Citations

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

Fields of papers citing papers by Suzanne D. Vernon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Suzanne D. Vernon. 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 Suzanne D. Vernon. The network helps show where Suzanne D. Vernon may publish in the future.

Co-authorship network of co-authors of Suzanne D. Vernon

This figure shows the co-authorship network connecting the top 25 collaborators of Suzanne D. Vernon. A scholar is included among the top collaborators of Suzanne D. Vernon 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 Suzanne D. Vernon. Suzanne D. Vernon 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
1.
Che, Xiaoyu, Christopher R. Brydges, Adam Price, et al.. (2022). Metabolomic Evidence for Peroxisomal Dysfunction in Myalgic Encephalomyelitis/Chronic Fatigue Syndrome. International Journal of Molecular Sciences. 23(14). 7906–7906. 21 indexed citations
2.
Vernon, Suzanne D., et al.. (2020). Accurate and objective determination of myalgic encephalomyelitis/chronic fatigue syndrome disease severity with a wearable sensor. Journal of Translational Medicine. 18(1). 423–423. 7 indexed citations
3.
Edwards, K. A., et al.. (2016). Realizing Our Potential in Biobanking: Disease Advocacy Organizations Enliven Translational Research. Biopreservation and Biobanking. 14(4). 314–318. 3 indexed citations
4.
Murdock, Kyle W., et al.. (2016). The utility of patient-reported outcome measures among patients with myalgic encephalomyelitis/chronic fatigue syndrome. Quality of Life Research. 26(4). 913–921. 54 indexed citations
5.
Xu, George, Tomasz Kula, Qikai Xu, et al.. (2015). Comprehensive serological profiling of human populations using a synthetic human virome. Science. 348(6239). aaa0698–aaa0698. 278 indexed citations breakdown →
6.
Shukla, Sanjay K., Dane B. Cook, Jacob D. Meyer, et al.. (2015). Changes in Gut and Plasma Microbiome following Exercise Challenge in Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS). PLoS ONE. 10(12). e0145453–e0145453. 107 indexed citations
7.
Broderick, Gordon, et al.. (2010). A pilot study of immune network remodeling under challenge in Gulf War Illness. Brain Behavior and Immunity. 25(2). 302–313. 61 indexed citations
8.
Nater, Urs M., et al.. (2009). Impact of acute psychosocial stress on peripheral blood gene expression pathways in healthy men☆. Biological Psychology. 82(2). 125–132. 22 indexed citations
9.
Vernon, Suzanne D., et al.. (2008). Neuroendocrine and immune network re-modeling in chronic fatigue syndrome: An exploratory analysis. Genomics. 92(6). 393–399. 47 indexed citations
10.
Whistler, Toni, et al.. (2007). Two optimized combination assays to examine apoptosis pathways in clinical samples. Cytometry Part A. 71A(9). 675–685. 4 indexed citations
11.
Cameron, Barbara, Sally Galbraith, Yun Zhang, et al.. (2007). Gene Expression Correlates of Postinfective Fatigue Syndrome after Infectious Mononucleosis. The Journal of Infectious Diseases. 196(1). 56–66. 17 indexed citations
13.
Hickie, Ian B., Tracey A Davenport, Denis Wakefield, et al.. (2006). Post-infective and chronic fatigue syndromes precipitated by viral and non-viral pathogens: prospective cohort study. BMJ. 333(7568). 575–575. 572 indexed citations breakdown →
14.
Steinau, Martin, Elizabeth R. Unger, Suzanne D. Vernon, James F. Jones, & Mangalathu S. Rajeevan. (2004). Differential-display PCR of peripheral blood for biomarker discovery in chronic fatigue syndrome. Journal of Molecular Medicine. 82(11). 750–755. 33 indexed citations
15.
Unger, Elizabeth R., Martin Steinau, Mangalathu S. Rajeevan, et al.. (2004). Molecular Markers for Early Detection of Cervical Neoplasia. Disease Markers. 20(2). 103–116. 12 indexed citations
16.
Vernon, Suzanne D. & Elizabeth R. Unger. (2004). Molecular Characterization of Human Papillomaviruses by PCR and <I>In Situ</i> Hybridization. Humana Press eBooks. 97. 159–180. 1 indexed citations
17.
Vernon, Suzanne D., et al.. (2002). Utility of the Blood for Gene Expression Profiling and Biomarker Discovery in Chronic Fatigue Syndrome. Disease Markers. 18(4). 193–199. 64 indexed citations
18.
Vernon, Suzanne D., et al.. (2002). Analysis of 16S rRNA gene sequences and circulating cell-free DNA from plasma of chronic fatigue syndrome and non-fatigued subjects. BMC Microbiology. 2(1). 39–39. 21 indexed citations
19.
Vernon, Suzanne D., Elizabeth R. Unger, Donna L. Miller, Daisy R. Lee, & William C. Reeves. (1997). Association of human papillomavirus type 16 integration in the E2 gene with poor disease‐free survival from cervical cancer. International Journal of Cancer. 74(1). 50–56. 6 indexed citations
20.
Unger, Elizabeth R., Suzanne D. Vernon, William W. Thoms, et al.. (1995). Human Papillomavirus and Disease-Free Survival in FIGO Stage Ib Cervical Cancer. The Journal of Infectious Diseases. 172(5). 1184–1190. 42 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026