Michael Sanford

526 total citations
10 papers, 401 citations indexed

About

Michael Sanford is a scholar working on Immunology, Molecular Biology and Rheumatology. According to data from OpenAlex, Michael Sanford has authored 10 papers receiving a total of 401 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Immunology, 3 papers in Molecular Biology and 2 papers in Rheumatology. Recurrent topics in Michael Sanford's work include Immunotherapy and Immune Responses (3 papers), T-cell and B-cell Immunology (3 papers) and Reproductive System and Pregnancy (2 papers). Michael Sanford is often cited by papers focused on Immunotherapy and Immune Responses (3 papers), T-cell and B-cell Immunology (3 papers) and Reproductive System and Pregnancy (2 papers). Michael Sanford collaborates with scholars based in United States, Japan and Germany. Michael Sanford's co-authors include Howard A. Young, Lyudmila Lyakh, Anita B. Roberts, Deborah L. Hodge, Ichiro Hirao, Marta Coscia, Charlotte Hanson, Michiko Kimoto, Purevdorj B. Olkhanud and Arya Biragyn and has published in prestigious journals such as Blood, The Journal of Immunology and Hepatology.

In The Last Decade

Michael Sanford

10 papers receiving 391 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Sanford United States 7 191 121 63 55 51 10 401
Elizabeth H. Gray United Kingdom 8 108 0.6× 168 1.4× 40 0.6× 102 1.9× 17 0.3× 10 437
Aurelia Busca Canada 11 163 0.9× 114 0.9× 47 0.7× 133 2.4× 26 0.5× 22 458
Alaitz Aranburu Sweden 12 245 1.3× 69 0.6× 30 0.5× 50 0.9× 27 0.5× 17 414
Fatemeh Faraji Iran 11 93 0.5× 130 1.1× 41 0.7× 26 0.5× 25 0.5× 31 325
Alessandra Ferrera Italy 9 172 0.9× 65 0.5× 48 0.8× 127 2.3× 17 0.3× 12 466
Stefania Campana Italy 13 393 2.1× 108 0.9× 103 1.6× 44 0.8× 33 0.6× 23 558
Magali de Heusch Belgium 11 559 2.9× 85 0.7× 86 1.4× 62 1.1× 33 0.6× 15 674
Kenichi Takaku Japan 5 337 1.8× 138 1.1× 93 1.5× 69 1.3× 15 0.3× 12 519
Marine de Marcken United States 4 383 2.0× 100 0.8× 132 2.1× 50 0.9× 19 0.4× 5 485
Subhashini Arimilli United States 15 316 1.7× 155 1.3× 71 1.1× 99 1.8× 24 0.5× 38 558

Countries citing papers authored by Michael Sanford

Since Specialization
Citations

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

Fields of papers citing papers by Michael Sanford

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Sanford

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

All Works

10 of 10 papers shown
1.
Bafor, Enitome E., Rebecca Erwin-Cohen, Clayton Baker, et al.. (2024). Aberrant CD8+T cells drive reproductive dysfunction in female mice with elevated IFN-γ levels. Frontiers in Immunology. 15. 1368572–1368572. 4 indexed citations
2.
Bafor, Enitome E., Jeffrey A. Carrell, Megan Karwan, et al.. (2023). Isolation of single cells from individual mouse ovaries for flow cytometry and functional analysis. STAR Protocols. 4(4). 102710–102710. 3 indexed citations
3.
Springer, Danielle, Maria Romero, Elijah F. Edmondson, et al.. (2023). IFN‐γ and androgens disrupt mitochondrial function in murine myocytes. The Journal of Pathology. 260(3). 276–288. 5 indexed citations
4.
Bae, Heekyong, Deborah L. Hodge, Guoxiang Yang, et al.. (2017). The interplay of type I and type II interferons in murine autoimmune cholangitis as a basis for sex‐biased autoimmunity. Hepatology. 67(4). 1408–1419. 46 indexed citations
5.
Matsunaga, Ken‐ichiro, Michiko Kimoto, Charlotte Hanson, et al.. (2015). Architecture of high-affinity unnatural-base DNA aptamers toward pharmaceutical applications. Scientific Reports. 5(1). 18478–18478. 56 indexed citations
6.
Hodge, Deborah L., Cyril Berthet, Vincenzo Coppola, et al.. (2014). IFN-gamma AU-rich element removal promotes chronic IFN-gamma expression and autoimmunity in mice. Journal of Autoimmunity. 53. 33–45. 79 indexed citations
7.
Biragyn, Arya, Marta Coscia, Kunio Nagashima, et al.. (2008). Murine β-defensin 2 promotes TLR-4/MyD88-mediated and NF-κB-dependent atypical death of APCs via activation of TNFR2. Journal of Leukocyte Biology. 83(4). 998–1008. 55 indexed citations
8.
9.
Ortaldo, John R., Robin Winkler-Pickett, Jon M. Wigginton, et al.. (2005). Regulation of ITAM-positive receptors: role of IL-12 and IL-18. Blood. 107(4). 1468–1475. 42 indexed citations
10.
Modi, William S., Julie Bergeron, & Michael Sanford. (2001). The human MIP-1β chemokine is encoded by two paralogous genes, ACT-2 and LAG-1. Immunogenetics. 53(7). 543–549. 21 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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