Richard Stratford

608 total citations
22 papers, 401 citations indexed

About

Richard Stratford is a scholar working on Immunology, Infectious Diseases and Molecular Biology. According to data from OpenAlex, Richard Stratford has authored 22 papers receiving a total of 401 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Immunology, 8 papers in Infectious Diseases and 8 papers in Molecular Biology. Recurrent topics in Richard Stratford's work include Immunotherapy and Immune Responses (9 papers), Salmonella and Campylobacter epidemiology (7 papers) and vaccines and immunoinformatics approaches (6 papers). Richard Stratford is often cited by papers focused on Immunotherapy and Immune Responses (9 papers), Salmonella and Campylobacter epidemiology (7 papers) and vaccines and immunoinformatics approaches (6 papers). Richard Stratford collaborates with scholars based in United Kingdom, Norway and United States. Richard Stratford's co-authors include Trevor Clancy, Gordon Dougan, Irantzu Anzar, Gill Douce, Neil F. Fairweather, Juhani Eskola, Shahid A. Khan, Steven N. Chatfield, Trevor Bellaby and Simen Tennøe and has published in prestigious journals such as Scientific Reports, Infection and Immunity and Frontiers in Immunology.

In The Last Decade

Richard Stratford

21 papers receiving 386 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Richard Stratford United Kingdom 12 151 145 135 95 92 22 401
Efrosinia O. Krejany Australia 11 203 1.3× 127 0.9× 97 0.7× 56 0.6× 203 2.2× 19 607
Susanne Diescher Germany 7 58 0.4× 200 1.4× 251 1.9× 53 0.6× 81 0.9× 7 456
Jonathan Rosenberg United States 4 248 1.6× 203 1.4× 260 1.9× 28 0.3× 74 0.8× 9 677
Nathalie S. Gonçalves United Kingdom 7 148 1.0× 170 1.2× 157 1.2× 102 1.1× 228 2.5× 7 492
Jonas Löfling Sweden 11 80 0.5× 264 1.8× 88 0.7× 29 0.3× 86 0.9× 11 485
Marjan Ghaem–Maghami United Kingdom 7 183 1.2× 196 1.4× 333 2.5× 93 1.0× 271 2.9× 10 650
Katrin Ehrhardt Germany 12 63 0.4× 111 0.8× 213 1.6× 36 0.4× 19 0.2× 17 404
Mark A. Schmetz United States 9 46 0.3× 98 0.7× 165 1.2× 67 0.7× 130 1.4× 11 429
Hong Xin United States 13 403 2.7× 230 1.6× 94 0.7× 39 0.4× 22 0.2× 23 619
J Tseng United States 13 100 0.7× 82 0.6× 339 2.5× 23 0.2× 39 0.4× 20 506

Countries citing papers authored by Richard Stratford

Since Specialization
Citations

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

Fields of papers citing papers by Richard Stratford

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Richard Stratford

This figure shows the co-authorship network connecting the top 25 collaborators of Richard Stratford. A scholar is included among the top collaborators of Richard Stratford 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 Richard Stratford. Richard Stratford 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.
Anzar, Irantzu, et al.. (2024). Deep learning of antibody epitopes using positional permutation vectors. Computational and Structural Biotechnology Journal. 23. 2695–2707.
2.
Rubsamen, Reid, et al.. (2024). Integrative HLA typing of tumor and adjacent normal tissue can reveal insights into the tumor immune response. BMC Medical Genomics. 17(1). 37–37. 3 indexed citations
3.
Federico, Lorenzo, Tor Henrik Anderson Tvedt, Viktoriia Chaban, et al.. (2023). Robust spike-specific CD4+ and CD8+ T cell responses in SARS-CoV-2 vaccinated hematopoietic cell transplantation recipients: a prospective, cohort study. Frontiers in Immunology. 14. 1210899–1210899. 3 indexed citations
4.
Federico, Lorenzo, Simen Tennøe, Viktoriia Chaban, et al.. (2023). Experimental validation of immunogenic SARS-CoV-2 T cell epitopes identified by artificial intelligence. Frontiers in Immunology. 14. 1265044–1265044. 8 indexed citations
5.
Anzar, Irantzu, Pubudu Samarakoon, Leonardo A. Meza‐Zepeda, et al.. (2023). The interplay between neoantigens and immune cells in sarcomas treated with checkpoint inhibition. Frontiers in Immunology. 14. 1226445–1226445. 3 indexed citations
6.
Tennøe, Simen, Marius Gheorghe, Richard Stratford, & Trevor Clancy. (2022). The T Cell Epitope Landscape of SARS-CoV-2 Variants of Concern. Vaccines. 10(7). 1123–1123. 4 indexed citations
7.
Anzar, Irantzu, et al.. (2022). Personalized HLA typing leads to the discovery of novel HLA alleles and tumor‐specific HLA variants. HLA. 99(4). 313–327. 8 indexed citations
8.
Cheng, Jun, et al.. (2020). Artificial intelligence predicts the immunogenic landscape of SARS-CoV-2 leading to universal blueprints for vaccine designs. Scientific Reports. 10(1). 22375–22375. 59 indexed citations
9.
Anzar, Irantzu, et al.. (2019). NeoMutate: an ensemble machine learning framework for the prediction of somatic mutations in cancer. BMC Medical Genomics. 12(1). 63–63. 31 indexed citations
10.
Anzar, Irantzu, et al.. (2019). Improved HLA typing of Class I and Class II alleles from next‐generation sequencing data. HLA. 94(6). 504–513. 20 indexed citations
11.
12.
Michael, Agnieszka, Richard Stratford, Shahid A. Khan, Angus Dalgleish, & Hardev Pandha. (2004). Novel strains ofSalmonella typhimuriumas potential vectors for gene delivery. FEMS Microbiology Letters. 238(2). 345–351. 15 indexed citations
13.
Stratford, Richard, Nicky J. Hughes, Trevor Bellaby, et al.. (2004). Optimization ofSalmonella entericaSerovar Typhi ΔaroCΔssaVDerivatives as Vehicles for Delivering Heterologous Antigens by Chromosomal Integration and In Vivo Inducible Promoters. Infection and Immunity. 73(1). 362–368. 24 indexed citations
14.
Petrovska, Liljana, Richard Aspinall, Simon Clare, et al.. (2004). Salmonella enterica serovar Typhimurium interaction with dendritic cells: impact of the sifA gene. Cellular Microbiology. 6(11). 1071–1084. 27 indexed citations
15.
Michael, Agnieszka, Richard Stratford, Shahid A. Khan, Angus Dalgleish, & Hardev Pandha. (2004). Novel strains of as potential vectors for gene delivery. FEMS Microbiology Letters. 238(2). 345–351. 2 indexed citations
16.
Stratford, Richard. (2004). Bombarded Britain - A Search for British Impact Structures. IMPERIAL COLLEGE PRESS eBooks. 3 indexed citations
17.
18.
Stratford, Richard, Gill Douce, Frances Bowe, & Gordon Dougan. (2001). A vaccination strategy incorporating DNA priming and mucosal boosting using tetanus toxin fragment C (TetC). Vaccine. 20(3-4). 516–525. 8 indexed citations
19.
Khan, Shahid A., Paul J. L. M. Strijbos, Paul Everest, et al.. (2001). Early responses to Salmonella typhimurium infection in mice occur at focal lesions in infected organs. Microbial Pathogenesis. 30(1). 29–38. 22 indexed citations
20.
Stratford, Richard, et al.. (2000). Influence of codon usage on the immunogenicity of a DNA vaccine against tetanus. Vaccine. 19(7-8). 810–815. 48 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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2026