SR Riddell

1.7k total citations · 1 hit paper
11 papers, 1.4k citations indexed

About

SR Riddell is a scholar working on Epidemiology, Immunology and Oncology. According to data from OpenAlex, SR Riddell has authored 11 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Epidemiology, 7 papers in Immunology and 3 papers in Oncology. Recurrent topics in SR Riddell's work include Cytomegalovirus and herpesvirus research (7 papers), Immune Cell Function and Interaction (4 papers) and Herpesvirus Infections and Treatments (3 papers). SR Riddell is often cited by papers focused on Cytomegalovirus and herpesvirus research (7 papers), Immune Cell Function and Interaction (4 papers) and Herpesvirus Infections and Treatments (3 papers). SR Riddell collaborates with scholars based in United States, South Africa and Switzerland. SR Riddell's co-authors include P D Greenberg, Meyers Jd, P Reusser, PE Greenberg, Cameron J. Turtle, DG Maloney, Philip D. Greenberg, Robin Burke, Frank W. Symington and David M. Koelle and has published in prestigious journals such as Journal of Clinical Investigation, Blood and The Journal of Immunology.

In The Last Decade

SR Riddell

11 papers receiving 1.4k citations

Hit Papers

Cytotoxic T-lymphocyte response to cytomegalovirus after ... 1991 2026 2002 2014 1991 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Cytotoxic T-lymphocyte response to cytomegalovirus after human allogeneic bone marrow transplantation: pattern of recovery and correlation with cytomegalovirus infection and disease
    1991 556 citations P Reusser, SR Riddell et al. Blood profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
SR Riddell United States 11 1.1k 575 329 215 193 11 1.4k
Tania Crough Australia 15 1.2k 1.0× 638 1.1× 374 1.1× 157 0.7× 60 0.3× 19 1.5k
Rosalynde J. Finch United States 6 1.1k 1.0× 813 1.4× 530 1.6× 129 0.6× 204 1.1× 7 1.6k
Aycan F. Hassan‐Walker United Kingdom 16 1.6k 1.4× 278 0.5× 311 0.9× 342 1.6× 65 0.3× 20 1.7k
Jean Taylor‐Wiedeman United Kingdom 11 1.1k 1.0× 568 1.0× 110 0.3× 305 1.4× 75 0.4× 14 1.4k
P D Greenberg United States 18 1.2k 1.1× 1.3k 2.2× 636 1.9× 222 1.0× 355 1.8× 23 2.3k
Corinna La Rosa United States 25 1.2k 1.1× 573 1.0× 205 0.6× 182 0.8× 44 0.2× 53 1.7k
Laura Lozza Germany 19 603 0.5× 809 1.4× 161 0.5× 116 0.5× 68 0.4× 24 1.3k
Kim Mynard United Kingdom 8 778 0.7× 825 1.4× 130 0.4× 109 0.5× 45 0.2× 8 1.2k
Patrick Sissons United Kingdom 12 1.5k 1.4× 1.1k 1.8× 190 0.6× 356 1.7× 48 0.2× 13 2.1k
Jane E. Grundy United Kingdom 12 673 0.6× 340 0.6× 98 0.3× 86 0.4× 64 0.3× 17 827

Countries citing papers authored by SR Riddell

Since Specialization
Citations

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

Fields of papers citing papers by SR Riddell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of SR Riddell

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

All Works

11 of 11 papers shown
1.
2.
Turtle, Cameron J., SR Riddell, & DG Maloney. (2016). CD19‐Targeted chimeric antigen receptor‐modified T‐cell immunotherapy for B‐cell malignancies. Clinical Pharmacology & Therapeutics. 100(3). 252–258. 61 indexed citations
3.
4.
Yee, Cassian, SR Riddell, Vincent Brichard, et al.. (1996). Isolation of tyrosinase-specific CD8+ and CD4+ T cell clones from the peripheral blood of melanoma patients following in vitro stimulation with recombinant vaccinia virus. The Journal of Immunology. 157(9). 4079–4086. 75 indexed citations
5.
Riddell, SR. (1995). Pathogenesis of cytomegalovirus pneumonia in immunocompromised hosts.. PubMed. 10(4). 199–208. 51 indexed citations
6.
7.
8.
Koelle, David M., Michael Tigges, Robin Burke, et al.. (1993). Herpes simplex virus infection of human fibroblasts and keratinocytes inhibits recognition by cloned CD8+ cytotoxic T lymphocytes.. Journal of Clinical Investigation. 91(3). 961–968. 67 indexed citations
9.
10.
Reusser, P, SR Riddell, Meyers Jd, & P D Greenberg. (1991). Cytotoxic T-lymphocyte response to cytomegalovirus after human allogeneic bone marrow transplantation: pattern of recovery and correlation with cytomegalovirus infection and disease. Blood. 78(5). 1373–1380. 556 indexed citations breakdown →
11.

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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