David M. Soper

3.0k total citations · 1 hit paper
8 papers, 2.5k citations indexed

About

David M. Soper is a scholar working on Immunology, Molecular Biology and Organic Chemistry. According to data from OpenAlex, David M. Soper has authored 8 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Immunology, 2 papers in Molecular Biology and 1 paper in Organic Chemistry. Recurrent topics in David M. Soper's work include T-cell and B-cell Immunology (5 papers), Immune Cell Function and Interaction (5 papers) and Immunotherapy and Immune Responses (5 papers). David M. Soper is often cited by papers focused on T-cell and B-cell Immunology (5 papers), Immune Cell Function and Interaction (5 papers) and Immunotherapy and Immune Responses (5 papers). David M. Soper collaborates with scholars based in United States, Australia and Canada. David M. Soper's co-authors include Steven F. Ziegler, Gregory L. Szot, Barbara Fazekas de St Groth, Michael R. Lee, Philipp Kapranov, Xuyu Zhou, Peter A. Gottlieb, Carol Clayberger, Shirley Zhu and Jeffrey A. Bluestone and has published in prestigious journals such as The Journal of Experimental Medicine, Blood and Nature Immunology.

In The Last Decade

David M. Soper

8 papers receiving 2.4k citations

Hit Papers

CD127 expression inversely correlates with FoxP3 and supp... 2006 2026 2012 2019 2006 500 1000 1.5k 2.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David M. Soper United States 6 2.2k 418 202 179 152 8 2.5k
Michael R. Lee United States 6 2.2k 1.0× 494 1.2× 320 1.6× 181 1.0× 153 1.0× 8 2.6k
Misako Itoh Japan 8 2.6k 1.2× 407 1.0× 258 1.3× 129 0.7× 148 1.0× 9 2.9k
Yuhshi Kuniyasu Japan 7 3.4k 1.6× 570 1.4× 322 1.6× 150 0.8× 171 1.1× 8 3.8k
Cécile Taflin France 8 1.7k 0.8× 427 1.0× 136 0.7× 145 0.8× 112 0.7× 9 2.1k
Mindi Walker United States 15 1.5k 0.7× 316 0.8× 158 0.8× 112 0.6× 96 0.6× 25 1.8k
Tom Cox United States 6 2.3k 1.0× 349 0.8× 262 1.3× 128 0.7× 79 0.5× 7 2.5k
Sarah Q. Crome Canada 15 1.7k 0.8× 357 0.9× 246 1.2× 138 0.8× 73 0.5× 28 2.0k
Nancy Craighead United States 16 1.4k 0.6× 549 1.3× 205 1.0× 162 0.9× 96 0.6× 22 1.9k
Jennifer Freyer Germany 5 2.0k 0.9× 360 0.9× 191 0.9× 131 0.7× 83 0.5× 7 2.4k
Maryam Yassai United States 20 1.5k 0.7× 320 0.8× 159 0.8× 165 0.9× 352 2.3× 49 2.0k

Countries citing papers authored by David M. Soper

Since Specialization
Citations

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

Fields of papers citing papers by David M. Soper

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David M. Soper

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

All Works

8 of 8 papers shown
1.
Kornblau, Steven M., Aileen Cleary Cohen, David M. Soper, Ying-Wen Huang, & Alessandra Cesano. (2013). Age-related changes of healthy bone marrow cell signaling in response to growth factors provide insight into low risk MDS. Cytometry Part B Clinical Cytometry. 86(6). 383–396. 9 indexed citations
2.
Rosen, David B., David M. Soper, Ying-Wen Huang, et al.. (2009). Distinct Signaling Profiles of Gemtuzumab Ozogamicin Responsiveness and Refractoriness in Acute Myeloid Leukemia.. Blood. 114(22). 2745–2745. 1 indexed citations
3.
Soper, David M., Ying-Wen Huang, François Wilhelm, et al.. (2009). Single Cell Network Profiling (SCNP) to Evaluate the Mechanism of Action of ON 01910.Na, A Novel Clinical Trial Stage Compound.. Blood. 114(22). 3827–3827. 2 indexed citations
4.
Soper, David M., Deborah J. Kasprowicz, & Steven F. Ziegler. (2007). IL‐2Rβ links IL‐2R signaling with Foxp3 expression. European Journal of Immunology. 37(7). 1817–1826. 84 indexed citations
5.
Lopes, Jared E., David M. Soper, & Steven F. Ziegler. (2007). Foxp3 Is Required Throughout the Life of a Regulatory T Cell. Science s STKE. 2007(393). pe36–pe36. 15 indexed citations
6.
Liu, Weihong, Amy Putnam, Xuyu Zhou, et al.. (2006). CD127 expression inversely correlates with FoxP3 and suppressive function of human CD4+ T reg cells. The Journal of Experimental Medicine. 203(7). 1701–1711. 2084 indexed citations breakdown →
7.
Kasprowicz, Deborah J., Nathalie Droin, David M. Soper, et al.. (2005). Dynamic regulation of FoxP3 expression controls the balance between CD4+ T cell activation and cell death. European Journal of Immunology. 35(12). 3424–3432. 37 indexed citations
8.
Boursalian, Tamar E., Jonathan L. Golob, David M. Soper, Cristine J. Cooper, & Pamela J. Fink. (2004). Continued maturation of thymic emigrants in the periphery. Nature Immunology. 5(4). 418–425. 253 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026