Stephen Reeder

1.0k total citations
21 papers, 421 citations indexed

About

Stephen Reeder is a scholar working on Oncology, Immunology and Hematology. According to data from OpenAlex, Stephen Reeder has authored 21 papers receiving a total of 421 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Oncology, 10 papers in Immunology and 6 papers in Hematology. Recurrent topics in Stephen Reeder's work include Acute Myeloid Leukemia Research (6 papers), Immunotherapy and Immune Responses (6 papers) and Cancer Immunotherapy and Biomarkers (4 papers). Stephen Reeder is often cited by papers focused on Acute Myeloid Leukemia Research (6 papers), Immunotherapy and Immune Responses (6 papers) and Cancer Immunotherapy and Biomarkers (4 papers). Stephen Reeder collaborates with scholars based in United Kingdom, United States and Germany. Stephen Reeder's co-authors include R.C. Rees, Terence Stephenson, Susan M. Turcovski‐Corrales, D D Taub, David W. Cottam, A. Graham Pockley, Stéphanie McArdle, Robert C. Rees, Gemma A. Foulds and Simon Hood and has published in prestigious journals such as Journal of Clinical Oncology, Blood and The Journal of Immunology.

In The Last Decade

Stephen Reeder

21 papers receiving 414 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 Reeder United Kingdom 10 166 136 123 120 54 21 421
Ann Georgelas United States 11 144 0.9× 118 0.9× 194 1.6× 144 1.2× 45 0.8× 12 565
Hannelien Verbeke Belgium 9 234 1.4× 188 1.4× 126 1.0× 62 0.5× 24 0.4× 9 424
Hyung Geun Song South Korea 15 133 0.8× 87 0.6× 165 1.3× 45 0.4× 30 0.6× 39 453
Raquel Ruz Reyes Spain 11 125 0.8× 184 1.4× 366 3.0× 136 1.1× 36 0.7× 18 634
Hongju Deng United States 10 182 1.1× 114 0.8× 162 1.3× 38 0.3× 28 0.5× 11 409
Kentaro Fujii Japan 15 141 0.8× 293 2.2× 269 2.2× 69 0.6× 36 0.7× 60 808
Rocco Alfredo Satriano Italy 12 249 1.5× 142 1.0× 105 0.9× 43 0.4× 38 0.7× 20 509
Géraldine Lescaille France 13 242 1.5× 226 1.7× 252 2.0× 52 0.4× 22 0.4× 45 589
Toshiki Funakoshi Japan 8 91 0.5× 73 0.5× 195 1.6× 42 0.3× 39 0.7× 13 383
Terri A. DiMaio United States 13 167 1.0× 104 0.8× 212 1.7× 59 0.5× 17 0.3× 15 480

Countries citing papers authored by Stephen Reeder

Since Specialization
Citations

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

Fields of papers citing papers by Stephen Reeder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephen Reeder

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen Reeder. A scholar is included among the top collaborators of Stephen Reeder 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 Reeder. Stephen Reeder 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
1.
Vadakekolathu, Jayakumar, Stephen Reeder, Masood A. Khan, et al.. (2022). A Mutated Prostatic Acid Phosphatase (PAP) Peptide-Based Vaccine Induces PAP-Specific CD8+ T Cells with Ex Vivo Cytotoxic Capacities in HHDII/DR1 Transgenic Mice. Cancers. 14(8). 1970–1970. 2 indexed citations
2.
Nagarajan, Divya, Jayakumar Vadakekolathu, Barbara‐ann Guinn, et al.. (2021). A Novel HAGE/WT1-ImmunoBody® Vaccine Combination Enhances Anti-Tumour Responses When Compared to Either Vaccine Alone. Frontiers in Oncology. 11. 636977–636977. 7 indexed citations
3.
Cosma, Georgina, Stéphanie McArdle, Gemma A. Foulds, et al.. (2021). Prostate Cancer: Early Detection and Assessing Clinical Risk Using Deep Machine Learning of High Dimensional Peripheral Blood Flow Cytometric Phenotyping Data. Frontiers in Immunology. 12. 786828–786828. 10 indexed citations
4.
Rutella, Sergio, Jayakumar Vadakekolathu, Francesco Mazziotta, et al.. (2021). Transcriptomic Features of Immune Exhaustion and Senescence Predict Outcomes and Define Checkpoint Blockade-Unresponsive Microenvironments in Acute Myeloid Leukemia. Blood. 138(Supplement 1). 223–223. 1 indexed citations
6.
Vadakekolathu, Jayakumar, Catherine Lai, Stephen Reeder, et al.. (2020). Abstract CT035: TP53 abnormalities correlate with immune infiltration and are associated with response to flotetuzumab, an investigational immunotherapy, in acute myeloid leukemia. Cancer Research. 80(16_Supplement). CT035–CT035. 1 indexed citations
7.
Hood, Simon, Gemma A. Foulds, Heather Imrie, et al.. (2019). Phenotype and Function of Activated Natural Killer Cells From Patients With Prostate Cancer: Patient-Dependent Responses to Priming and IL-2 Activation. Frontiers in Immunology. 9. 3169–3169. 21 indexed citations
8.
Vadakekolathu, Jayakumar, Stephen Reeder, Clare Coveney, & Sergio Rutella. (2019). Tipifarnib Modulates Interferon (IFN)-γ-Inducible Genes in Acute Myeloid Leukemia. Blood. 134(Supplement_1). 2726–2726. 1 indexed citations
9.
10.
Foulds, Gemma A., Jayakumar Vadakekolathu, Tarek M.A. Abdel-Fatah, et al.. (2018). Immune-Phenotyping and Transcriptomic Profiling of Peripheral Blood Mononuclear Cells From Patients With Breast Cancer: Identification of a 3 Gene Signature Which Predicts Relapse of Triple Negative Breast Cancer. Frontiers in Immunology. 9. 2028–2028. 41 indexed citations
11.
Vadakekolathu, Jayakumar, Tasleema Patel, Stephen Reeder, et al.. (2017). Immune gene expression profiling in children and adults with acute myeloid leukemia identifies distinct phenotypic patterns. Blood. 130. 3942–3942. 9 indexed citations
12.
Vadakekolathu, Jayakumar, Sarah Wagner, Stephen Reeder, et al.. (2017). Interferon-γ induces distinct mRNA and protein profiles in acute and chronic myeloid leukemia. Blood. 130. 3945–3945. 2 indexed citations
15.
Reeder, Stephen, et al.. (2017). Identification and Isolation of Cancer Stem Cells Using NANOG-EGFP Reporter System. Methods in molecular biology. 1692. 139–148. 8 indexed citations
16.
Linley, Adam J., Stephen Reeder, Cécile Badoual, et al.. (2010). HAGE, a cancer/testis antigen expressed at the protein level in a variety of cancers.. PubMed. 10. 2–2. 33 indexed citations
17.
Reeder, Stephen, et al.. (2007). Identification of Immunogenic MHC Class II Tyrosinase-Derived Peptides Using HLA-DR1 and HLA-DR4 Transgenic Mice. Protein and Peptide Letters. 14(5). 455–460. 1 indexed citations
18.
McLean, C. S., M. E. G. Boursnell, G Martín, et al.. (2000). Preclinical evaluation of "whole" cell vaccines for prophylaxis and therapy using a disabled infectious single cycle-herpes simplex virus vector to transduce cytokine genes.. PubMed. 60(6). 1663–70. 31 indexed citations
19.
Boursnell, M. E. G., Claire Entwisle, Shiva Sivasubramaniam, et al.. (1998). Disabled Infectious Single Cycle (DISC) Herpes Simplex Virus as a Vector for Immunotherapy of Cancer. Advances in experimental medicine and biology. 451. 379–384. 10 indexed citations
20.
Taub, D D, Stephen Reeder, Susan M. Turcovski‐Corrales, et al.. (1997). Cytokine and chemokine regulation of proMMP-9 and TIMP-1 production by human peripheral blood lymphocytes. The Journal of Immunology. 158(5). 2327–2333. 180 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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