Stephen P. Persaud

647 total citations
16 papers, 472 citations indexed

About

Stephen P. Persaud is a scholar working on Immunology, Oncology and Hematology. According to data from OpenAlex, Stephen P. Persaud has authored 16 papers receiving a total of 472 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Immunology, 4 papers in Oncology and 4 papers in Hematology. Recurrent topics in Stephen P. Persaud's work include Immune Cell Function and Interaction (5 papers), T-cell and B-cell Immunology (5 papers) and Acute Myeloid Leukemia Research (4 papers). Stephen P. Persaud is often cited by papers focused on Immune Cell Function and Interaction (5 papers), T-cell and B-cell Immunology (5 papers) and Acute Myeloid Leukemia Research (4 papers). Stephen P. Persaud collaborates with scholars based in United States and Germany. Stephen P. Persaud's co-authors include Paul M. Allen, K. Scott Weber, Wan‐Lin Lo, Chelsea R. Parker Harp, Jinsung Hong, Cheng Zhu, Stephen Horváth, Brian D. Evavold, Marina Cella and Brian T. Edelson and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Clinical Investigation.

In The Last Decade

Stephen P. Persaud

15 papers receiving 468 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stephen P. Persaud United States 8 366 119 90 36 29 16 472
Julia M. Laufer Switzerland 9 203 0.6× 146 1.2× 116 1.3× 36 1.0× 37 1.3× 9 349
Jeanette Ampudia United States 11 452 1.2× 147 1.2× 122 1.4× 11 0.3× 33 1.1× 23 562
Helly Vernitsky Israel 8 222 0.6× 93 0.8× 103 1.1× 20 0.6× 11 0.4× 17 364
Tim W. Sproul United States 7 216 0.6× 72 0.6× 108 1.2× 18 0.5× 47 1.6× 10 313
Divij Mathew United States 8 307 0.8× 232 1.9× 143 1.6× 32 0.9× 10 0.3× 18 453
Ellen Duong United States 10 311 0.8× 183 1.5× 153 1.7× 35 1.0× 24 0.8× 17 464
Edith Graulich Germany 8 565 1.5× 138 1.2× 98 1.1× 10 0.3× 21 0.7× 9 678
Mitchell S. Wang United States 5 155 0.4× 119 1.0× 230 2.6× 56 1.6× 13 0.4× 5 401
Keigo Saito Japan 12 198 0.5× 183 1.5× 144 1.6× 22 0.6× 35 1.2× 20 402
Susanne M. Rittig Germany 9 232 0.6× 137 1.2× 241 2.7× 26 0.7× 20 0.7× 15 390

Countries citing papers authored by Stephen P. Persaud

Since Specialization
Citations

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

Fields of papers citing papers by Stephen P. Persaud

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephen P. Persaud

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

All Works

16 of 16 papers shown
1.
Persaud, Stephen P., et al.. (2024). Conditioning with anti-CD47 and anti-CD117 plus JAK inhibition enables toxic payload-free allogeneic transplantation. Blood Advances. 8(17). 4502–4506. 1 indexed citations
2.
Persaud, Stephen P., et al.. (2022). Fully Myeloablative Antibody-Drug Conjugates Condition for Hematopoietic Stem Cell Transplantation and Provide Durable Antileukemia Benefit. Blood. 140(Supplement 1). 1570–1571. 1 indexed citations
3.
Persaud, Stephen P., Julie Ritchey, Sena Kim, et al.. (2021). Antibody-drug conjugates plus Janus kinase inhibitors enable MHC-mismatched allogeneic hematopoietic stem cell transplantation. Journal of Clinical Investigation. 131(24). 15 indexed citations
4.
Johnson, Deborah, et al.. (2021). CD4 Inhibits Helper T Cell Activation at Lower Affinity Threshold for Full-Length T Cell Receptors Than Single Chain Signaling Constructs. Frontiers in Immunology. 11. 561889–561889. 4 indexed citations
5.
Persaud, Stephen P., Matthew Cooper, Julie Ritchey, Michael P. Rettig, & John F. DiPersio. (2020). Antibody-Drug Conjugates Targeting CD45 Plus Janus Kinase (JAK) Inhibitors As Conditioning for Allogeneic Hematopoietic Stem Cell Transplantation. Biology of Blood and Marrow Transplantation. 26(3). S150–S151.
6.
Persaud, Stephen P., Trebor Lawton, Carey‐Ann D. Burnham, & Neil W. Anderson. (2019). Comparison of Urine Antigen Assays for the Diagnosis of Histoplasma capsulatum Infection. The Journal of Applied Laboratory Medicine. 4(3). 370–382. 7 indexed citations
7.
Persaud, Stephen P., Matthew Cooper, Julie Ritchey, Michael P. Rettig, & John F. DiPersio. (2019). CD45-ADC Plus Janus Kinase (JAK) Inhibitors As Conditioning for MHC-Mismatched Murine Hematopoietic Stem Cell Transplantation Is Associated with Minimal Toxicity and Graft Versus Host Disease. Blood. 134(Supplement_1). 3200–3200. 1 indexed citations
8.
Persaud, Stephen P., Brian Duffy, D. Phelan, et al.. (2017). Accelerated humoral renal allograft rejection due to HLA-C14 mediated allosensitization to HLA-Bw6. Human Immunology. 78(11-12). 692–698. 6 indexed citations
9.
Persaud, Stephen P., Adil Hassan, Anjum Hassan, & Tariq Hassan. (2017). Severe Cytomegalovirus Gastritis During Natalizumab-Mediated Immunosuppression. ACG Case Reports Journal. 4(1). e43–e43. 1 indexed citations
10.
Jackups, Ronald, Jeffrey J. Szymanski, & Stephen P. Persaud. (2017). Clinical decision support for hematology laboratory test utilization. International Journal of Laboratory Hematology. 39(S1). 128–135. 10 indexed citations
11.
Hong, Jinsung, Stephen P. Persaud, Stephen Horváth, et al.. (2015). Force-Regulated In Situ TCR–Peptide-Bound MHC Class II Kinetics Determine Functions of CD4+ T Cells. The Journal of Immunology. 195(8). 3557–3564. 84 indexed citations
12.
KC, Wumesh, Ansuman T. Satpathy, Aaron S. Rapaport, et al.. (2014). L-Myc expression by dendritic cells is required for optimal T-cell priming. Nature. 507(7491). 243–247. 62 indexed citations
13.
Chou, Chun, Amelia K. Pinto, Jonathan D. Curtis, et al.. (2014). c-Myc-induced transcription factor AP4 is required for host protection mediated by CD8+ T cells. Nature Immunology. 15(9). 884–893. 81 indexed citations
14.
Persaud, Stephen P., Chelsea R. Parker Harp, Wan‐Lin Lo, K. Scott Weber, & Paul M. Allen. (2014). Intrinsic CD4+ T cell sensitivity and response to a pathogen are set and sustained by avidity for thymic and peripheral complexes of self peptide and MHC. Nature Immunology. 15(3). 266–274. 128 indexed citations
15.
Weber, K. Scott, Qi-Jing Li, Stephen P. Persaud, et al.. (2012). Distinct CD4 + helper T cells involved in primary and secondary responses to infection. Proceedings of the National Academy of Sciences. 109(24). 9511–9516. 52 indexed citations
16.
Persaud, Stephen P., David L. Donermeyer, K. Scott Weber, David M. Kranz, & Paul M. Allen. (2010). High-affinity T cell receptor differentiates cognate peptide–MHC and altered peptide ligands with distinct kinetics and thermodynamics. Molecular Immunology. 47(9). 1793–1801. 19 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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