Michael P. Gallagher

1.2k total citations
16 papers, 883 citations indexed

About

Michael P. Gallagher is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Michael P. Gallagher has authored 16 papers receiving a total of 883 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Immunology, 6 papers in Oncology and 4 papers in Molecular Biology. Recurrent topics in Michael P. Gallagher's work include T-cell and B-cell Immunology (9 papers), Immune Cell Function and Interaction (9 papers) and CAR-T cell therapy research (5 papers). Michael P. Gallagher is often cited by papers focused on T-cell and B-cell Immunology (9 papers), Immune Cell Function and Interaction (9 papers) and CAR-T cell therapy research (5 papers). Michael P. Gallagher collaborates with scholars based in United States, Austria and France. Michael P. Gallagher's co-authors include Frederick W. Alt, James Conley, Edward A. Clark, G L Shu, Jennifer M. Magee, J A Ledbetter, Duane R. Wesemann, Leslie J. Berg, Andrew J. Portuguese and Rohit A. Panchakshari and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and The Journal of Experimental Medicine.

In The Last Decade

Michael P. Gallagher

16 papers receiving 860 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michael P. Gallagher United States	13	552	334	119	112	69	16	883
Ida H. Hiemstra Netherlands	16	390 0.7×	193 0.6×	324 2.7×	138 1.2×	31 0.4×	29	846
Yasuhiro Nagai Japan	18	467 0.8×	329 1.0×	222 1.9×	53 0.5×	48 0.7×	45	986
Ole J.B. Landsverk Norway	16	558 1.0×	272 0.8×	113 0.9×	48 0.4×	42 0.6×	27	910
Caroline Addey United Kingdom	17	489 0.9×	232 0.7×	219 1.8×	30 0.3×	25 0.4×	27	1.2k
Rachel Wong United States	10	615 1.1×	256 0.8×	63 0.5×	59 0.5×	58 0.8×	17	923
Whitney S. Thompson United States	11	388 0.7×	177 0.5×	62 0.5×	110 1.0×	29 0.4×	20	737
Georgetta Cannon United States	12	315 0.6×	329 1.0×	57 0.5×	51 0.5×	53 0.8×	21	734
Odile Burlen‐Defranoux France	19	1.1k 2.1×	289 0.9×	134 1.1×	14 0.1×	105 1.5×	23	1.5k
Mascha Greuter Netherlands	14	828 1.5×	237 0.7×	229 1.9×	19 0.2×	73 1.1×	15	1.1k
Jeanne M. Soos United States	17	657 1.2×	166 0.5×	179 1.5×	59 0.5×	32 0.5×	30	998

Countries citing papers authored by Michael P. Gallagher

Since Specialization

Citations

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

Fields of papers citing papers by Michael P. Gallagher

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael P. Gallagher

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

All Works

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16 of 16 papers shown

Josiah, Serene, et al.. (2024). Abstract 4007: AIC100 CAR-T cells targeting ICAM-1 are efficacious against solid tumors in xenograft mouse models of non-small cell lung cancer (NSCLC) and cervical cancer (CC). Cancer Research. 84(6_Supplement). 4007–4007. 1 indexed citations

Gallagher, Michael P., et al.. (2021). Hierarchy of signaling thresholds downstream of the T cell receptor and the Tec kinase ITK. Proceedings of the National Academy of Sciences. 118(35). 31 indexed citations

Conley, James, Michael P. Gallagher, Anjana Rao, & Leslie J. Berg. (2020). Activation of the Tec Kinase ITK Controls Graded IRF4 Expression in Response to Variations in TCR Signal Strength. The Journal of Immunology. 205(2). 335–345. 20 indexed citations

Gallagher, Michael P., James Conley, & Leslie J. Berg. (2018). Peptide Antigen Concentration Modulates Digital NFAT1 Activation in Primary Mouse Naive CD8+ T Cells as Measured by Flow Cytometry of Isolated Cell Nuclei. ImmunoHorizons. 2(7). 208–215. 18 indexed citations

Tong, Pei, Alessandra Granato, Teng Zuo, et al.. (2017). IgH isotype-specific B cell receptor expression influences B cell fate. Proceedings of the National Academy of Sciences. 114(40). E8411–E8420. 17 indexed citations

Conley, James, Michael P. Gallagher, & Leslie J. Berg. (2016). T Cells and Gene Regulation: The Switching On and Turning Up of Genes after T Cell Receptor Stimulation in CD8 T Cells. Frontiers in Immunology. 7. 76–76. 58 indexed citations

Gallagher, Michael P., et al.. (2014). Detection of True IgE-expressing Mouse B Lineage Cells. Journal of Visualized Experiments. 3 indexed citations

Wesemann, Duane R., Andrew J. Portuguese, Robin M. Meyers, et al.. (2013). Microbial colonization influences early B-lineage development in the gut lamina propria. Nature. 501(7465). 112–115. 202 indexed citations

Wesemann, Duane R., Andrew J. Portuguese, Jennifer M. Magee, et al.. (2012). Reprogramming IgH isotype-switched B cells to functional-grade induced pluripotent stem cells. Proceedings of the National Academy of Sciences. 109(34). 13745–13750. 14 indexed citations

10.

Wesemann, Duane R., Jennifer M. Magee, Cristian Boboilă, et al.. (2011). Immature B cells preferentially switch to IgE with increased direct Sμ to Sε recombination. The Journal of Experimental Medicine. 208(13). 2733–2746. 84 indexed citations

11.

Guo, Chunguang, Hye Suk Yoon, Andrew Franklin, et al.. (2011). CTCF-binding elements mediate control of V(D)J recombination. Nature. 477(7365). 424–430. 200 indexed citations

12.

Giallourakis, Cosmas, Andrew Franklin, Chunguang Guo, et al.. (2010). Elements between the IgH variable (V) and diversity (D) clusters influence antisense transcription and lineage-specific V(D)J recombination. Proceedings of the National Academy of Sciences. 107(51). 22207–22212. 27 indexed citations

13.

Zhang, Tingting, Andrew Franklin, Cristian Boboilă, et al.. (2010). Downstream class switching leads to IgE antibody production by B lymphocytes lacking IgM switch regions. Proceedings of the National Academy of Sciences. 107(7). 3040–3045. 26 indexed citations

14.

Phillips, Raylene, Caroline J. Chantry, & Michael P. Gallagher. (2005). Analgesic Effects of Breast-feeding or Pacifier Use With Maternal Holding in Term Infants. Ambulatory Pediatrics. 5(6). 359–364. 48 indexed citations

15.

Lü, Dan, Michael P. Gallagher, Carolyn Y. Ho, et al.. (1997). CBFA2, frequently rearranged in leukemia, is not responsible for a familial leukemia syndrome. Leukemia. 11(12). 2111–2119. 11 indexed citations

16.

Ledbetter, J A, G L Shu, Michael P. Gallagher, & Edward A. Clark. (1987). Augmentation of normal and malignant B cell proliferation by monoclonal antibody to the B cell-specific antigen BP50 (CDW40).. The Journal of Immunology. 138(3). 788–794. 123 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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