Michael J. Pitcher

440 total citations · 1 hit paper
11 papers, 194 citations indexed

About

Michael J. Pitcher is a scholar working on Infectious Diseases, Immunology and Molecular Biology. According to data from OpenAlex, Michael J. Pitcher has authored 11 papers receiving a total of 194 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Infectious Diseases, 4 papers in Immunology and 3 papers in Molecular Biology. Recurrent topics in Michael J. Pitcher's work include T-cell and B-cell Immunology (4 papers), Immune Cell Function and Interaction (4 papers) and Tuberculosis Research and Epidemiology (3 papers). Michael J. Pitcher is often cited by papers focused on T-cell and B-cell Immunology (4 papers), Immune Cell Function and Interaction (4 papers) and Tuberculosis Research and Epidemiology (3 papers). Michael J. Pitcher collaborates with scholars based in United Kingdom, Sweden and Germany. Michael J. Pitcher's co-authors include Jo Spencer, Mats Bemark, Lucia Montorsi, Pawan Dhami, Simon Dobson, Leonie S. Taams, Richard J. Ellis, Elizabeth H. Gray, David D’Cruz and Thomas Leeuw and has published in prestigious journals such as Nature Communications, Frontiers in Immunology and Cell Reports.

In The Last Decade

Michael J. Pitcher

11 papers receiving 191 citations

Hit Papers

Gut-associated lymphoid tissue: a microbiota-driven hub o... 2024 2026 2025 2024 10 20 30 40 50

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael J. Pitcher United Kingdom 8 82 76 36 20 20 11 194
Lisa Rausch Germany 8 125 1.5× 76 1.0× 24 0.7× 12 0.6× 6 0.3× 9 219
Giuseppe Fabrizio Amoruso Italy 8 137 1.7× 35 0.5× 14 0.4× 24 1.2× 38 1.9× 15 277
Erica Acton Canada 9 131 1.6× 68 0.9× 15 0.4× 3 0.1× 3 0.1× 13 281
Lorien Shakib United States 2 67 0.8× 64 0.8× 54 1.5× 1 0.1× 15 0.8× 4 163
Ashkan Rasouli‐Saravani Iran 6 55 0.7× 110 1.4× 29 0.8× 25 1.3× 8 201
Daniel Chen United States 7 52 0.6× 50 0.7× 21 0.6× 2 0.1× 3 0.1× 12 134
Con Dolianitis Australia 8 65 0.8× 19 0.3× 23 0.6× 18 0.9× 44 2.2× 18 257
Dylan H. de Vries Netherlands 7 59 0.7× 279 3.7× 18 0.5× 9 0.5× 11 0.6× 8 368
Penelope Pelczar Germany 9 168 2.0× 58 0.8× 18 0.5× 3 0.1× 7 0.3× 14 265
Eva‐Maria Jacobsen Germany 7 67 0.8× 46 0.6× 45 1.3× 7 0.3× 17 141

Countries citing papers authored by Michael J. Pitcher

Since Specialization
Citations

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

Fields of papers citing papers by Michael J. Pitcher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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

All Works

11 of 11 papers shown
1.
Montorsi, Lucia, Michael J. Pitcher, Yuan Zhao, et al.. (2024). Double-negative B cells and DNASE1L3 colocalise with microbiota in gut-associated lymphoid tissue. Nature Communications. 15(1). 4051–4051. 7 indexed citations
2.
Bemark, Mats, et al.. (2024). Gut-associated lymphoid tissue: a microbiota-driven hub of B cell immunity. Trends in Immunology. 45(3). 211–223. 56 indexed citations breakdown →
3.
Povoleri, Giovanni A. M., Lucy E. Durham, Elizabeth H. Gray, et al.. (2023). Psoriatic and rheumatoid arthritis joints differ in the composition of CD8+ tissue-resident memory T cell subsets. Cell Reports. 42(5). 112514–112514. 30 indexed citations
4.
Siu, Jacqueline H. Y., Michael J. Pitcher, Thomas J Tull, et al.. (2022). Two subsets of human marginal zone B cells resolved by global analysis of lymphoid tissues and blood. Science Immunology. 7(69). eabm9060–eabm9060. 39 indexed citations
5.
Seow, Jeffrey, Carl Graham, Thomas Lechmere, et al.. (2022). ChAdOx1 nCoV-19 vaccine elicits monoclonal antibodies with cross-neutralizing activity against SARS-CoV-2 viral variants. Cell Reports. 39(5). 110757–110757. 11 indexed citations
6.
Trevelin, Silvia Cellone, Suzanne Pickering, Cynthia Bishop, et al.. (2022). Disrupted Peyer’s Patch Microanatomy in COVID-19 Including Germinal Centre Atrophy Independent of Local Virus. Frontiers in Immunology. 13. 838328–838328. 11 indexed citations
7.
Bortolomeazzi, Michele, Lucia Montorsi, Mohamed Reda Keddar, et al.. (2022). A SIMPLI (Single-cell Identification from MultiPLexed Images) approach for spatially-resolved tissue phenotyping at single-cell resolution. Nature Communications. 13(1). 781–781. 25 indexed citations
8.
Pitcher, Michael J., et al.. (2020). Modelling the effects of environmental heterogeneity within the lung on the tuberculosis life-cycle. Journal of Theoretical Biology. 506. 110381–110381. 2 indexed citations
9.
Pitcher, Michael J., Simon Dobson, Tom Kelsey, et al.. (2020). How mechanistic in silico modelling can improve our understanding of TB disease and treatment. The International Journal of Tuberculosis and Lung Disease. 24(11). 1145–1150. 5 indexed citations
10.
Pitcher, Michael J., et al.. (2018). A spatially heterogeneous network-based metapopulation software model applied to the simulation of a pulmonary tuberculosis infection. Applied Network Science. 3(1). 33–33. 7 indexed citations
11.
Pitcher, Michael J., et al.. (1990). Potential value of immunoperoxidase technique in assessment of genital herpes.. PubMed. 77(5). 516–9. 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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