Matthew J. Dolan

13.5k total citations
143 papers, 7.7k citations indexed

About

Matthew J. Dolan is a scholar working on Nuclear and High Energy Physics, Virology and Infectious Diseases. According to data from OpenAlex, Matthew J. Dolan has authored 143 papers receiving a total of 7.7k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Nuclear and High Energy Physics, 55 papers in Virology and 30 papers in Infectious Diseases. Recurrent topics in Matthew J. Dolan's work include Particle physics theoretical and experimental studies (52 papers), HIV Research and Treatment (49 papers) and Dark Matter and Cosmic Phenomena (35 papers). Matthew J. Dolan is often cited by papers focused on Particle physics theoretical and experimental studies (52 papers), HIV Research and Treatment (49 papers) and Dark Matter and Cosmic Phenomena (35 papers). Matthew J. Dolan collaborates with scholars based in United States, United Kingdom and Australia. Matthew J. Dolan's co-authors include Christopher McCabe, Gene M. Shearer, Stephanie A. Anderson, Sunil K. Ahuja, Brian K. Agan, Michael Spannowsky, Felix Kahlhoefer, Adriano Boasso, Andrew W. Hardy and Christoph Englert and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Physical Review Letters.

In The Last Decade

Matthew J. Dolan

138 papers receiving 7.5k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Matthew J. Dolan United States 48 2.8k 2.2k 2.1k 2.0k 1.1k 143 7.7k
David A. Wilkinson United Kingdom 35 733 0.3× 288 0.1× 535 0.3× 973 0.5× 243 0.2× 106 3.3k
Darrell L. Peterson United States 39 277 0.1× 1.1k 0.5× 704 0.3× 814 0.4× 367 0.3× 176 5.2k
O. Fackler Germany 54 4.5k 1.6× 906 0.4× 2.7k 1.3× 1.9k 0.9× 36 0.0× 194 8.8k
Silvia Perri Brazil 34 227 0.1× 404 0.2× 323 0.2× 654 0.3× 361 0.3× 211 4.0k
R.H. Miller United States 51 762 0.3× 860 0.4× 558 0.3× 1.4k 0.7× 61 0.1× 220 11.4k
Dirk Schürmann Germany 27 600 0.2× 322 0.1× 178 0.1× 1.0k 0.5× 99 0.1× 115 2.8k
William F. Dietrich United States 45 96 0.0× 180 0.1× 2.4k 1.2× 509 0.3× 240 0.2× 111 10.3k
S. Church United States 22 354 0.1× 152 0.1× 1.4k 0.7× 277 0.1× 50 0.0× 89 3.0k
Thomas Klose United States 37 108 0.0× 986 0.4× 111 0.1× 1.2k 0.6× 109 0.1× 112 4.2k
J. Ballet France 32 77 0.0× 1.2k 0.5× 236 0.1× 298 0.1× 401 0.4× 156 2.7k

Countries citing papers authored by Matthew J. Dolan

Since Specialization
Citations

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

Fields of papers citing papers by Matthew J. Dolan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew J. Dolan. 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 Matthew J. Dolan. The network helps show where Matthew J. Dolan may publish in the future.

Co-authorship network of co-authors of Matthew J. Dolan

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew J. Dolan. A scholar is included among the top collaborators of Matthew J. Dolan 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 Matthew J. Dolan. Matthew J. Dolan 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.
Bell, Nicole F., et al.. (2025). Neutrino portals to MeV WIMPs with s-channel mediators. Physical review. D. 111(5). 1 indexed citations
2.
Taylor, Tiffany, Simon D’Alfonso, Matthew J. Dolan, Jenny Yiend, & Pamela Jacobsen. (2025). How do users of a mental health app conceptualise digital therapeutic alliance? A qualitative study using the framework approach. BMC Public Health. 25(1). 2450–2450.
3.
Cox, Peter, Matthew J. Dolan, & Joshua Wood. (2024). Absorption of fermionic dark matter via the scalar portal. Physical review. D. 109(9). 1 indexed citations
4.
Bell, Nicole F., et al.. (2024). Exploring light dark matter with the Migdal effect in hydrogen-doped liquid xenon. Physical review. D. 109(9). 4 indexed citations
5.
Cox, Peter, et al.. (2024). Classification of three-family flavoured DFSZ axion models that have no domain wall problem. Journal of High Energy Physics. 2024(2). 2 indexed citations
6.
Baker, Christopher G., Warwick P. Bowen, Peter Cox, et al.. (2024). Optomechanical dark matter instrument for direct detection. Physical review. D. 110(4). 5 indexed citations
7.
Cox, Peter, Matthew J. Dolan, Christopher McCabe, & Harry M. Quiney. (2023). Precise predictions and new insights for atomic ionization from the Migdal effect. Physical review. D. 107(3). 17 indexed citations
8.
Dolan, Matthew J., et al.. (2023). Disentangling quark and gluon jets with normalizing flows. Physical review. D. 107(11). 3 indexed citations
9.
Marcus, Joseph E, et al.. (2022). Response to a Serogroup B Meningococcal Disease Case Among Military Trainees. Open Forum Infectious Diseases. 9(5). ofac162–ofac162.
10.
Blinov, Nikita, Matthew J. Dolan, Patrick Draper, & Jessie Shelton. (2021). Dark matter microhalos from simplified models. Physical review. D. 103(10). 28 indexed citations
11.
Blinov, Nikita, Matthew J. Dolan, & Patrick Draper. (2020). Imprints of the early Universe on axion dark matter substructure. Physical review. D. 101(3). 36 indexed citations
12.
Buchmueller, O. L., Matthew J. Dolan, J. Ellis, et al.. (2014). Implications of improved Higgs mass calculations for supersymmetric models. The European Physical Journal C. 74(3). 2809–2809. 46 indexed citations
13.
Ramsuran, Veron, Hemant Kulkarni, Weijing He, et al.. (2011). Duffy-Null–Associated Low Neutrophil Counts Influence HIV-1 Susceptibility in High-Risk South African Black Women. Clinical Infectious Diseases. 52(10). 1248–1256. 52 indexed citations
14.
Marconi, Vincent C., Greg Grandits, Jason F. Okulicz, et al.. (2011). Cumulative Viral Load and Virologic Decay Patterns after Antiretroviral Therapy in HIV-Infected Subjects Influence CD4 Recovery and AIDS. PLoS ONE. 6(5). e17956–e17956. 43 indexed citations
15.
Boasso, Adriano, Jean‐Philippe Herbeuval, Andrew W. Hardy, et al.. (2006). HIV inhibits CD4+ T-cell proliferation by inducing indoleamine 2,3-dioxygenase in plasmacytoid dendritic cells. Blood. 109(8). 3351–3359. 241 indexed citations
16.
Ender, Peter T., et al.. (2001). Association ofBartonellaspecies andCoxiella burnetiiInfection with Coronary Artery Disease. The Journal of Infectious Diseases. 183(5). 831–834. 4 indexed citations
17.
Pericle, Federica, Lígia A. Pinto, Stuart W. Hicks, et al.. (1998). Cutting Edge: HIV-1 Infection Induces a Selective Reduction in STAT5 Protein Expression. The Journal of Immunology. 160(1). 28–31. 46 indexed citations
18.
Mummidi, Srinivas, Seema S. Ahuja, Stephanie A. Anderson, et al.. (1998). Genealogy of the CCR5 locus and chemokine system gene variants associated with altered rates of HIV-1 disease progression. Nature Medicine. 4(7). 786–793. 267 indexed citations
19.
Blatt, Stephen P., William F. McCarthy, G. P. Melcher, et al.. (1995). Multivariate Models for Predicting Progression to AIDS and Survival in Human Immunodeficiency Virus-Infected Persons. The Journal of Infectious Diseases. 171(4). 837–844. 35 indexed citations
20.
Dolan, Matthew J., et al.. (1993). Early markers of HIV infection and subclinical disease progression. Vaccine. 11(5). 548–551. 7 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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