Michele M Kosiewicz

1.8k total citations
43 papers, 1.4k citations indexed

About

Michele M Kosiewicz is a scholar working on Immunology, Molecular Biology and Genetics. According to data from OpenAlex, Michele M Kosiewicz has authored 43 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Immunology, 15 papers in Molecular Biology and 8 papers in Genetics. Recurrent topics in Michele M Kosiewicz's work include T-cell and B-cell Immunology (16 papers), Immune Cell Function and Interaction (14 papers) and Immunotherapy and Immune Responses (10 papers). Michele M Kosiewicz is often cited by papers focused on T-cell and B-cell Immunology (16 papers), Immune Cell Function and Interaction (14 papers) and Immunotherapy and Immune Responses (10 papers). Michele M Kosiewicz collaborates with scholars based in United States, France and Slovakia. Michele M Kosiewicz's co-authors include Pascale Alard, J. Wayne Streilein, Yuan Zhao, Shuang Liang, Masaru Takeuchi, Kosuke Kozaiwa, Cynthia C. Nast, Fabio Cominelli, Anita Chhabra and Christopher A. Moskaluk and has published in prestigious journals such as Journal of Clinical Investigation, The Journal of Experimental Medicine and SHILAP Revista de lepidopterología.

In The Last Decade

Michele M Kosiewicz

43 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michele M Kosiewicz United States 19 882 367 301 187 109 43 1.4k
Joseph Larkin United States 25 1.2k 1.3× 539 1.5× 264 0.9× 545 2.9× 136 1.2× 56 2.0k
Jared E. Lopes United States 9 1.6k 1.8× 357 1.0× 204 0.7× 378 2.0× 123 1.1× 14 2.1k
Massoud Daheshia United States 23 735 0.8× 381 1.0× 172 0.6× 126 0.7× 566 5.2× 37 1.7k
Hans Dooms United States 20 1.7k 1.9× 299 0.8× 255 0.8× 303 1.6× 191 1.8× 33 2.2k
Shi‐Chuen Miaw Taiwan 21 983 1.1× 495 1.3× 134 0.4× 198 1.1× 161 1.5× 40 1.6k
Livija Deban Italy 14 1.2k 1.4× 338 0.9× 109 0.4× 149 0.8× 161 1.5× 21 1.6k
Giorgio Trinchieri United States 8 1.1k 1.2× 237 0.6× 136 0.5× 396 2.1× 192 1.8× 8 1.5k
Dee Aud United States 12 576 0.7× 443 1.2× 273 0.9× 193 1.0× 156 1.4× 15 1.5k
Yoshinori Komagata Japan 20 857 1.0× 238 0.6× 169 0.6× 216 1.2× 90 0.8× 60 1.6k
Carlene L. Zindl United States 14 1.3k 1.5× 426 1.2× 219 0.7× 244 1.3× 203 1.9× 20 1.9k

Countries citing papers authored by Michele M Kosiewicz

Since Specialization
Citations

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

Fields of papers citing papers by Michele M Kosiewicz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michele M Kosiewicz. 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 Michele M Kosiewicz. The network helps show where Michele M Kosiewicz may publish in the future.

Co-authorship network of co-authors of Michele M Kosiewicz

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

All Works

20 of 20 papers shown
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Ma, Jing, Pascale Alard, Kevin J. Sokoloski, et al.. (2023). Male microbiota-associated metabolite restores macrophage efferocytosis in female lupus-prone mice via activation of PPARγ/LXR signaling pathways. Journal of Leukocyte Biology. 113(1). 41–57. 8 indexed citations
3.
Kosiewicz, Michele M, et al.. (2020). Feeding lactobacilli impacts lupus progression in (NZBxNZW)F1 lupus-prone mice by enhancing immunoregulation. Autoimmunity. 53(6). 323–332. 28 indexed citations
4.
Caster, Dawn J., Michelle T. Barati, Min Tan, et al.. (2017). ABIN1 Determines Severity of Glomerulonephritis via Activation of Intrinsic Glomerular Inflammation. American Journal Of Pathology. 187(12). 2799–2810. 13 indexed citations
5.
Gu, Zelin, et al.. (2013). FcγRI is required for TGFβ2-treated macrophage-induced tolerance. Immunobiology. 218(9). 1200–1206. 3 indexed citations
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Kosiewicz, Michele M, Dominick L. Auci, Paolo Fagone, et al.. (2011). HE3286, an orally bioavailable synthetic analogue of an active DHEA metabolite suppresses spontaneous autoimmune diabetes in the non-obese diabetic (NOD) mouse. European Journal of Pharmacology. 658(2-3). 257–262. 9 indexed citations
8.
Atay, Safinur, et al.. (2009). Relationship between the high expression of nuclear beta-catenin in dendritic cells from NOD mice and the pro-inflammatory phenotype of these cells (99.18). The Journal of Immunology. 182(Supplement_1). 99.18–99.18. 1 indexed citations
9.
Alard, Pascale, et al.. (2009). Probiotics control lupus progression via induction of regulatory cells and IL-10 production (50.30). The Journal of Immunology. 182(Supplement_1). 50.30–50.30. 6 indexed citations
10.
Kosiewicz, Michele M, et al.. (2008). APC Activation Restores Functional CD4+CD25+ Regulatory T Cells in NOD Mice that Can Prevent Diabetes Development. PLoS ONE. 3(11). e3739–e3739. 20 indexed citations
11.
Kosiewicz, Michele M, et al.. (2007). Ingestion of lactobacilli delays lupus development by stimulating APC in (NZBxNZW)F1 mice (131.35). The Journal of Immunology. 178(1_Supplement). S244–S244. 2 indexed citations
12.
Yolcu, Esma S., et al.. (2007). A novel multimeric form of FasL modulates the ability of diabetogenic T cells to mediate type 1 diabetes in an adoptive transfer model. Molecular Immunology. 44(11). 2884–2892. 19 indexed citations
13.
Liang, Shuang, et al.. (2005). Conversion of CD4+ CD25− cells into CD4+ CD25+ regulatory T cells in vivo requires B7 costimulation, but not the thymus. The Journal of Experimental Medicine. 201(1). 127–137. 222 indexed citations
14.
Kosiewicz, Michele M & Pascale Alard. (2004). Tolerogenic Antigen-Presenting Cells: Regulation of the Immune Response by TGF-β-Treated Antigen-Presenting Cells. Immunologic Research. 30(2). 155–170. 14 indexed citations
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Kosiewicz, Michele M, Cynthia C. Nast, Jesús Rivera–Nieves, et al.. (2001). Th1-type responses mediate spontaneous ileitis in a novel murine model of Crohn’s disease. Journal of Clinical Investigation. 107(6). 695–702. 191 indexed citations
18.
Kosiewicz, Michele M, et al.. (1997). Immunity and immune privilege elicited by cultured retinal pigment epithelial cell transplants. American Journal of Ophthalmology. 124(5). 719–719. 9 indexed citations
19.
Alard, Pascale, Robert B. Levy, Michele M Kosiewicz, Martinque K. Jones, & J. Wayne Streilein. (1996). MHC class II tolerant T cells undergo apoptosis upon re-exposure to tolerogen in vivo. Transplant Immunology. 4(1). 76–80. 3 indexed citations
20.
Kosiewicz, Michele M, et al.. (1990). Neonatal thymectomy affects follicle populations before the onset of autoimmune oophoritis in B6A mice. Reproduction. 88(2). 427–440. 7 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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