Michelle Miron

3.7k total citations · 3 hit papers
17 papers, 2.2k citations indexed

About

Michelle Miron is a scholar working on Immunology, Surgery and Molecular Biology. According to data from OpenAlex, Michelle Miron has authored 17 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Immunology, 2 papers in Surgery and 2 papers in Molecular Biology. Recurrent topics in Michelle Miron's work include T-cell and B-cell Immunology (12 papers), Immune Cell Function and Interaction (12 papers) and Immunotherapy and Immune Responses (6 papers). Michelle Miron is often cited by papers focused on T-cell and B-cell Immunology (12 papers), Immune Cell Function and Interaction (12 papers) and Immunotherapy and Immune Responses (6 papers). Michelle Miron collaborates with scholars based in United States, Netherlands and Israel. Michelle Miron's co-authors include Donna L. Färber, Peter A. Szabo, Takashi Senda, Tomer Granot, Harvey Lerner, Dustin Carpenter, Brahma V. Kumar, Siu‐Hong Ho, Rebecca Guyer and Amy L. Friedman and has published in prestigious journals such as Nature Communications, The Journal of Experimental Medicine and Immunity.

In The Last Decade

Michelle Miron

16 papers receiving 2.1k citations

Hit Papers

Human Tissue-Resident Memory T Cells Are Defined by Core ... 2017 2026 2020 2023 2017 2019 2019 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michelle Miron United States 12 1.7k 448 361 278 161 17 2.2k
Harvey Lerner United States 13 2.1k 1.3× 458 1.0× 321 0.9× 392 1.4× 201 1.2× 19 2.7k
Rachel D. Kuns Australia 29 2.1k 1.2× 486 1.1× 440 1.2× 211 0.8× 91 0.6× 58 2.8k
Angus T. Stock Australia 15 1.8k 1.1× 358 0.8× 290 0.8× 301 1.1× 90 0.6× 24 2.1k
Tomer Granot United States 14 1.3k 0.8× 343 0.8× 271 0.8× 228 0.8× 156 1.0× 15 1.7k
Kim L. Good‐Jacobson Australia 25 2.7k 1.6× 458 1.0× 499 1.4× 325 1.2× 185 1.1× 46 3.4k
Sean Riminton Australia 22 1.6k 1.0× 449 1.0× 273 0.8× 344 1.2× 277 1.7× 50 2.4k
David Sehy United States 8 2.1k 1.2× 564 1.3× 354 1.0× 323 1.2× 102 0.6× 14 2.8k
Naomi McGovern United Kingdom 17 1.2k 0.7× 264 0.6× 353 1.0× 156 0.6× 148 0.9× 28 1.8k
Regina Stark Netherlands 18 1.3k 0.8× 416 0.9× 206 0.6× 141 0.5× 92 0.6× 27 1.6k
Lusijah Rott United States 16 1.7k 1.0× 503 1.1× 252 0.7× 168 0.6× 256 1.6× 19 2.4k

Countries citing papers authored by Michelle Miron

Since Specialization
Citations

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

Fields of papers citing papers by Michelle Miron

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michelle Miron. 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 Michelle Miron. The network helps show where Michelle Miron may publish in the future.

Co-authorship network of co-authors of Michelle Miron

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

All Works

17 of 17 papers shown
1.
Siebert, Stefan, Kristen Sweet, Christopher T. Ritchlin, et al.. (2023). Guselkumab Modulates Differentially Expressed Genes in Blood of Patients With Psoriatic Arthritis: Results from Two Phase 3, Randomized, Placebo‐Controlled Trials. ACR Open Rheumatology. 5(9). 490–498. 2 indexed citations
2.
Miron, Michelle, Wenzhao Meng, Aaron M. Rosenfeld, et al.. (2021). Maintenance of the human memory T cell repertoire by subset and tissue site. Genome Medicine. 13(1). 100–100. 38 indexed citations
3.
Szabo, Peter A., Michelle Miron, & Donna L. Färber. (2019). Location, location, location: Tissue resident memory T cells in mice and humans. Science Immunology. 4(34). 409 indexed citations breakdown →
4.
Szabo, Peter A., Hanna Mendes Levitin, Michelle Miron, et al.. (2019). Single-cell transcriptomics of human T cells reveals tissue and activation signatures in health and disease. Nature Communications. 10(1). 4706–4706. 346 indexed citations breakdown →
5.
Miron, Michelle, Brahma V. Kumar, Wenzhao Meng, et al.. (2018). Human Lymph Nodes Maintain TCF-1hi Memory T Cells with High Functional Potential and Clonal Diversity throughout Life. The Journal of Immunology. 201(7). 2132–2140. 54 indexed citations
6.
Kumar, Brahma V., Radomir Kratchmarov, Michelle Miron, et al.. (2018). Functional heterogeneity of human tissue-resident memory T cells based on dye efflux capacities. JCI Insight. 3(22). 38 indexed citations
7.
Senda, Takashi, Pranay Dogra, Tomer Granot, et al.. (2018). Microanatomical dissection of human intestinal T-cell immunity reveals site-specific changes in gut-associated lymphoid tissues over life. Mucosal Immunology. 12(2). 378–389. 65 indexed citations
8.
Kumar, Brahma V., Wenji Ma, Michelle Miron, et al.. (2018). Human Tissue-Resident Memory T Cells Are Defined by Core Transcriptional and Functional Signatures in Lymphoid and Mucosal Sites. SSRN Electronic Journal. 3 indexed citations
9.
Gordon, Claire L., Michelle Miron, Joseph J.C. Thome, et al.. (2017). Tissue reservoirs of antiviral T cell immunity in persistent human CMV infection. The Journal of Experimental Medicine. 214(3). 651–667. 101 indexed citations
10.
Carpenter, Dustin, Tomer Granot, N. Matsuoka, et al.. (2017). Human immunology studies using organ donors: Impact of clinical variations on immune parameters in tissues and circulation. American Journal of Transplantation. 18(1). 74–88. 45 indexed citations
11.
Granot, Tomer, Takashi Senda, Dustin Carpenter, et al.. (2017). Dendritic Cells Display Subset and Tissue-Specific Maturation Dynamics over Human Life. Immunity. 46(3). 504–515. 215 indexed citations
12.
Kumar, Brahma V., Wenji Ma, Michelle Miron, et al.. (2017). Human Tissue-Resident Memory T Cells Are Defined by Core Transcriptional and Functional Signatures in Lymphoid and Mucosal Sites. Cell Reports. 20(12). 2921–2934. 700 indexed citations breakdown →
13.
Zens, Kyra D., et al.. (2017). Reduced generation of lung tissue–resident memory T cells during infancy. The Journal of Experimental Medicine. 214(10). 2915–2932. 81 indexed citations
14.
Fu, Jianing, Julien Zuber, Aleksandar Obradović, et al.. (2017). Differing Mechanisms for Early Versus Persistent Donor T cell Chimerism in Peripheral Blood of Human Intestinal Transplant Recipients. Transplantation. 101(5S-3). S63–S64.
15.
Bunin, Anna, Vanja Sisirak, Hiyaa S. Ghosh, et al.. (2015). Protein Tyrosine Phosphatase PTPRS Is an Inhibitory Receptor on Human and Murine Plasmacytoid Dendritic Cells. Immunity. 43(2). 277–288. 43 indexed citations
16.
Petersen, G., et al.. (1990). Response to Mycoplasma hyopneumoniae vaccination in nursing piglets.. 4 indexed citations
17.
Miron, Michelle, et al.. (1969). Benign cavernous hemangioma of the gallbladder.. PubMed. 88(1). 30–1. 9 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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