J. Michael Stolley

1.5k total citations
17 papers, 939 citations indexed

About

J. Michael Stolley is a scholar working on Immunology, Molecular Biology and Genetics. According to data from OpenAlex, J. Michael Stolley has authored 17 papers receiving a total of 939 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Immunology, 5 papers in Molecular Biology and 2 papers in Genetics. Recurrent topics in J. Michael Stolley's work include Immune Cell Function and Interaction (9 papers), T-cell and B-cell Immunology (8 papers) and Immunotherapy and Immune Responses (5 papers). J. Michael Stolley is often cited by papers focused on Immune Cell Function and Interaction (9 papers), T-cell and B-cell Immunology (8 papers) and Immunotherapy and Immune Responses (5 papers). J. Michael Stolley collaborates with scholars based in United States, Switzerland and Australia. J. Michael Stolley's co-authors include David Masopust, Sathi Wijeyesinghe, Daniel Campbell, Shivani Srivastava, Kate S. Smigiel, Pamela C. Rosato, Vaiva Vezys, Eileen Remold‐O’Donnell, Jessica Cooley and Lalit K. Beura and has published in prestigious journals such as Nature, Nature Communications and The Journal of Experimental Medicine.

In The Last Decade

J. Michael Stolley

17 papers receiving 928 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
J. Michael Stolley United States	12	656	226	197	176	107	17	939
Christian Perez‐Shibayama Switzerland	17	653 1.0×	196 0.9×	224 1.1×	100 0.6×	73 0.7×	29	971
Franck P. Dupuy Canada	15	705 1.1×	201 0.9×	275 1.4×	217 1.2×	223 2.1×	34	1.2k
Charlotte Viant United States	8	989 1.5×	180 0.8×	226 1.1×	318 1.8×	136 1.3×	11	1.4k
Joseph R. Maxwell United States	13	774 1.2×	122 0.5×	242 1.2×	99 0.6×	111 1.0×	18	1.2k
Ines Matos United States	9	1.1k 1.6×	140 0.6×	283 1.4×	99 0.6×	133 1.2×	15	1.3k
Anneline Nansen Denmark	19	690 1.1×	181 0.8×	126 0.6×	148 0.8×	198 1.9×	29	962
Rick de Waard Netherlands	9	492 0.8×	213 0.9×	311 1.6×	80 0.5×	60 0.6×	9	1.1k
Megumi Tatematsu Japan	15	646 1.0×	94 0.4×	299 1.5×	85 0.5×	128 1.2×	21	874
Amy M. Beebe United States	14	712 1.1×	197 0.9×	161 0.8×	127 0.7×	337 3.1×	22	1.2k
Lucia E. Rosas United States	18	481 0.7×	150 0.7×	194 1.0×	93 0.5×	292 2.7×	29	1.1k

Countries citing papers authored by J. Michael Stolley

Since Specialization

Citations

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

Fields of papers citing papers by J. Michael Stolley

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Michael Stolley

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

All Works

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17 of 17 papers shown

Joag, Vineet, et al.. (2025). Triggering mouth-resident antiviral CD8+ T cells potentiates experimental periodontitis. Mucosal Immunology. 18(3). 620–630. 3 indexed citations

Stolley, J. Michael, Milcah C. Scott, Stephen D. O’Flanagan, et al.. (2024). Cutting Edge: First Lung Infection Permanently Enlarges Lymph Nodes and Enhances New T Cell Responses. The Journal of Immunology. 212(11). 1621–1625. 3 indexed citations

Scott, Milcah C., Zoë Steier, Mark Pierson, et al.. (2024). Deep profiling deconstructs features associated with memory CD8+ T cell tissue residence. Immunity. 58(1). 162–181.e10. 12 indexed citations

Stolley, J. Michael, Milcah C. Scott, Vineet Joag, et al.. (2023). Depleting CD103+ resident memory T cells in vivo reveals immunostimulatory functions in oral mucosa. The Journal of Experimental Medicine. 220(7). 14 indexed citations

Künzli, Marco, Stephen D. O’Flanagan, Thamotharampillai Dileepan, et al.. (2022). Route of self-amplifying mRNA vaccination modulates the establishment of pulmonary resident memory CD8 and CD4 T cells. Science Immunology. 7(78). eadd3075–eadd3075. 45 indexed citations

Matchett, William E., Vineet Joag, J. Michael Stolley, et al.. (2021). Cutting Edge: Nucleocapsid Vaccine Elicits Spike-Independent SARS-CoV-2 Protective Immunity. The Journal of Immunology. 207(2). 376–379. 102 indexed citations

Fiege, Jessica K., Katharine E. Block, Mark Pierson, et al.. (2021). Mice with diverse microbial exposure histories as a model for preclinical vaccine testing. Cell Host & Microbe. 29(12). 1815–1827.e6. 45 indexed citations

Wijeyesinghe, Sathi, Lalit K. Beura, Mark Pierson, et al.. (2021). Expansible residence decentralizes immune homeostasis. Nature. 592(7854). 457–462. 85 indexed citations

Stolley, J. Michael, Timothy S. Johnston, Andrew G. Soerens, et al.. (2020). Retrograde migration supplies resident memory T cells to lung-draining LN after influenza infection. The Journal of Experimental Medicine. 217(8). 92 indexed citations

10.

Rosato, Pamela C., Sathi Wijeyesinghe, J. Michael Stolley, & David Masopust. (2020). Integrating resident memory into T cell differentiation models. Current Opinion in Immunology. 63. 35–42. 26 indexed citations

11.

Rosato, Pamela C., Sathi Wijeyesinghe, J. Michael Stolley, et al.. (2019). Virus-specific memory T cells populate tumors and can be repurposed for tumor immunotherapy. Nature Communications. 10(1). 567–567. 192 indexed citations

12.

Stolley, J. Michael & Daniel Campbell. (2016). A 33D1+ Dendritic Cell/Autoreactive CD4+ T Cell Circuit Maintains IL-2–Dependent Regulatory T Cells in the Spleen. The Journal of Immunology. 197(7). 2635–2645. 10 indexed citations

13.

Smigiel, Kate S., Shivani Srivastava, J. Michael Stolley, & Daniel Campbell. (2014). Regulatory T‐cell homeostasis: steady‐state maintenance and modulation during inflammation. Immunological Reviews. 259(1). 40–59. 170 indexed citations

14.

Stolley, J. Michael, Dapeng Gong, Kalamo Farley, et al.. (2012). Increased Surfactant Protein D Fails to Improve Bacterial Clearance and Inflammation in serpinB1−/− Mice. American Journal of Respiratory Cell and Molecular Biology. 47(6). 792–799. 5 indexed citations

15.

Farley, Kalamo, J. Michael Stolley, Picheng Zhao, Jessica Cooley, & Eileen Remold‐O’Donnell. (2012). A SerpinB1 Regulatory Mechanism Is Essential for Restricting Neutrophil Extracellular Trap Generation. The Journal of Immunology. 189(9). 4574–4581. 84 indexed citations

16.

Farley, Kalamo, J. Michael Stolley, Jessica Cooley, & Eileen Remold‐O’Donnell. (2011). SerpinB1 functions in generating neutrophil extracellular traps (111.11). The Journal of Immunology. 186(1_Supplement). 111.11–111.11. 2 indexed citations

17.

Benarafa, Charaf, et al.. (2011). SerpinB1 protects the mature neutrophil reserve in the bone marrow. Journal of Leukocyte Biology. 90(1). 21–29. 49 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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