Wyatt J. McDonnell

2.5k total citations
18 papers, 403 citations indexed

About

Wyatt J. McDonnell is a scholar working on Immunology, Epidemiology and Virology. According to data from OpenAlex, Wyatt J. McDonnell has authored 18 papers receiving a total of 403 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Immunology, 7 papers in Epidemiology and 6 papers in Virology. Recurrent topics in Wyatt J. McDonnell's work include Immune Cell Function and Interaction (7 papers), HIV Research and Treatment (6 papers) and HIV-related health complications and treatments (5 papers). Wyatt J. McDonnell is often cited by papers focused on Immune Cell Function and Interaction (7 papers), HIV Research and Treatment (6 papers) and HIV-related health complications and treatments (5 papers). Wyatt J. McDonnell collaborates with scholars based in United States, Australia and Haiti. Wyatt J. McDonnell's co-authors include S. Mallal, Mark A. Pilkinton, John R. Koethe, Celestine N. Wanjalla, Louise Barnett, Spyros A. Kalams, Alyssa H. Hasty, Ian Setliff, Ivelin S. Georgiev and Arion Kennedy and has published in prestigious journals such as Nature, The Journal of Immunology and Gastroenterology.

In The Last Decade

Wyatt J. McDonnell

16 papers receiving 398 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wyatt J. McDonnell United States 12 198 106 101 69 69 18 403
Curtis L. Gabriel United States 9 238 1.2× 110 1.0× 150 1.5× 30 0.4× 106 1.5× 20 525
Yanhui Cai United States 10 197 1.0× 74 0.7× 83 0.8× 100 1.4× 45 0.7× 20 419
Angela Grant United States 8 139 0.7× 120 1.1× 68 0.7× 108 1.6× 74 1.1× 12 369
Georges Lion France 10 77 0.4× 38 0.4× 67 0.7× 40 0.6× 20 0.3× 35 354
Justin H. Fransen Netherlands 10 292 1.5× 94 0.9× 94 0.9× 27 0.4× 9 0.1× 13 450
Cristina Purificato Italy 12 256 1.3× 77 0.7× 87 0.9× 127 1.8× 16 0.2× 17 505
Steven Polyak United States 12 119 0.6× 68 0.6× 147 1.5× 81 1.2× 25 0.4× 21 519
Linda A. Trimble United States 10 407 2.1× 50 0.5× 117 1.2× 205 3.0× 23 0.3× 17 575
Aidan S. Hancock United States 10 180 0.9× 81 0.8× 67 0.7× 175 2.5× 49 0.7× 12 423
Karol Serwin Poland 10 41 0.2× 73 0.7× 60 0.6× 41 0.6× 18 0.3× 37 282

Countries citing papers authored by Wyatt J. McDonnell

Since Specialization
Citations

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

Fields of papers citing papers by Wyatt J. McDonnell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wyatt J. McDonnell

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

All Works

18 of 18 papers shown
1.
Crawford, K., Abha Chopra, Ramesh Ram, et al.. (2025). HIV-1 adapts to HLA class II–associated selection pressure exerted by CD4 + and CD8 + T cells. Science Advances. 11(7). eadr4238–eadr4238.
2.
Jaffe, David B., et al.. (2022). Functional antibodies exhibit light chain coherence. Nature. 611(7935). 352–357. 52 indexed citations
3.
Jaffe, David B., et al.. (2022). Functional antibodies exhibit light chain coherence. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
4.
Kundu, Suman, Matthew S. Freiberg, Russell P. Tracy, et al.. (2022). Circulating T Cells and Cardiovascular Risk in People With and Without HIV Infection. Journal of the American College of Cardiology. 80(17). 1633–1644. 15 indexed citations
5.
Pilkinton, Mark A., Wyatt J. McDonnell, Louise Barnett, et al.. (2021). In Chronic Infection, HIV Gag-Specific CD4 + T Cell Receptor Diversity Is Higher than CD8 + T Cell Receptor Diversity and Is Associated with Less HIV Quasispecies Diversity. Journal of Virology. 95(8). 6 indexed citations
6.
Meyer, Anne R., Amy C. Engevik, Matthew T. Stier, et al.. (2020). Group 2 Innate Lymphoid Cells Coordinate Damage Response in the Stomach. Gastroenterology. 159(6). 2077–2091.e8. 64 indexed citations
7.
McDonnell, Wyatt J., David B. Jaffe, David J. Sukovich, et al.. (2020). Profiling the immune infiltrate in tumor samples at single cell resolution. The Journal of Immunology. 204(1_Supplement). 243.20–243.20. 1 indexed citations
8.
Bailin, Samuel, Kathleen A. McGinnis, Wyatt J. McDonnell, et al.. (2020). T Lymphocyte Subsets Associated With Prevalent Diabetes in Veterans With and Without Human Immunodeficiency Virus. The Journal of Infectious Diseases. 222(2). 252–262. 13 indexed citations
9.
Gelbard, Alexander, Celestine N. Wanjalla, Christopher T. Wootten, et al.. (2020). The Proximal Airway Is a Reservoir for Adaptive Immunologic Memory in Idiopathic Subglottic Stenosis. The Laryngoscope. 131(3). 610–617. 17 indexed citations
10.
Chopra, Abha, Mina John, Shay Leary, et al.. (2019). Deep sequence analysis of HIV adaptation following vertical transmission reveals the impact of immune pressure on the evolution of HIV. PLoS Pathogens. 15(12). e1008177–e1008177. 18 indexed citations
11.
12.
Setliff, Ian, Wyatt J. McDonnell, Nagarajan Raju, et al.. (2018). Multi-Donor Longitudinal Antibody Repertoire Sequencing Reveals the Existence of Public Antibody Clonotypes in HIV-1 Infection. Cell Host & Microbe. 23(6). 845–854.e6. 61 indexed citations
13.
Wanjalla, Celestine N., Wyatt J. McDonnell, & John R. Koethe. (2018). Adipose Tissue T Cells in HIV/SIV Infection. Frontiers in Immunology. 9. 2730–2730. 11 indexed citations
14.
McDonnell, Wyatt J., John R. Koethe, S. Mallal, et al.. (2018). High CD8 T-Cell Receptor Clonality and Altered CDR3 Properties Are Associated With Elevated Isolevuglandins in Adipose Tissue During Diet-Induced Obesity. Diabetes. 67(11). 2361–2376. 42 indexed citations
15.
Beckett, Amber C., John T. Loh, Abha Chopra, et al.. (2018). Helicobacter pylorigenetic diversification in the Mongolian gerbil model. PeerJ. 6. e4803–e4803. 13 indexed citations
16.
Koethe, John R., Wyatt J. McDonnell, Arion Kennedy, et al.. (2017). Adipose Tissue is Enriched for Activated and Late-Differentiated CD8+ T Cells and Shows Distinct CD8+ Receptor Usage, Compared With Blood in HIV-Infected Persons. JAIDS Journal of Acquired Immune Deficiency Syndromes. 77(2). e14–e21. 23 indexed citations
17.
Abana, Chike O., Mark A. Pilkinton, Silvana Gaudieri, et al.. (2017). Cytomegalovirus (CMV) Epitope–Specific CD4+ T Cells Are Inflated in HIV+ CMV+ Subjects. The Journal of Immunology. 199(9). 3187–3201. 36 indexed citations
18.
Duffy, John L. & Wyatt J. McDonnell. (1966). Papillary cystadenoma of pancreas.. PubMed. 66(23). 3060–4. 1 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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