Stephen Ward

2.9k total citations · 1 hit paper
19 papers, 2.0k citations indexed

About

Stephen Ward is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Stephen Ward has authored 19 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 10 papers in Immunology and 7 papers in Oncology. Recurrent topics in Stephen Ward's work include Immunotherapy and Immune Responses (9 papers), CAR-T cell therapy research (6 papers) and Microfluidic and Bio-sensing Technologies (5 papers). Stephen Ward is often cited by papers focused on Immunotherapy and Immune Responses (9 papers), CAR-T cell therapy research (6 papers) and Microfluidic and Bio-sensing Technologies (5 papers). Stephen Ward collaborates with scholars based in United Kingdom, Germany and Ireland. Stephen Ward's co-authors include M. D. Brunner, Ganesh Suntharalingam, Meghan Perry, Andrew Castello-Cortes, Nicki Panoskaltsis, Stephen J. Brett, Johan Hyllner, Panos Kefalas, Natalie Mount and Angus Dalgleish and has published in prestigious journals such as New England Journal of Medicine, Philosophical Transactions of the Royal Society B Biological Sciences and International Journal of Cancer.

In The Last Decade

Stephen Ward

17 papers receiving 1.9k citations

Hit Papers

Cytokine Storm in a Phase 1 Trial of the Anti-CD28 Monocl... 2006 2026 2012 2019 2006 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stephen Ward United Kingdom 12 1.1k 662 485 299 188 19 2.0k
Andrew Castello-Cortes United Kingdom 3 857 0.8× 451 0.7× 315 0.6× 282 0.9× 89 0.5× 4 1.5k
Nicki Panoskaltsis United Kingdom 21 1.1k 0.9× 721 1.1× 769 1.6× 322 1.1× 479 2.5× 76 2.8k
Christian K. Schneider Germany 25 1.0k 0.9× 541 0.8× 738 1.5× 415 1.4× 215 1.1× 52 2.6k
Brian P. Pollack United States 24 897 0.8× 992 1.5× 712 1.5× 162 0.5× 70 0.4× 45 2.2k
Archana Thakur United States 32 947 0.8× 1.2k 1.8× 1.2k 2.5× 670 2.2× 193 1.0× 128 2.9k
Romain Remark France 18 1.7k 1.5× 1.9k 2.8× 750 1.5× 149 0.5× 173 0.9× 33 3.1k
Hans Schlößer Germany 21 924 0.8× 1.3k 2.0× 623 1.3× 142 0.5× 262 1.4× 65 2.6k
Yan Tan China 31 598 0.5× 911 1.4× 1.0k 2.1× 558 1.9× 105 0.6× 102 2.9k
Ting Niu China 27 607 0.5× 800 1.2× 1.3k 2.7× 130 0.4× 162 0.9× 230 3.0k
Jing Chen China 29 651 0.6× 971 1.5× 969 2.0× 105 0.4× 131 0.7× 172 3.1k

Countries citing papers authored by Stephen Ward

Since Specialization
Citations

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

Fields of papers citing papers by Stephen Ward

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephen Ward

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

All Works

19 of 19 papers shown
2.
Baptista, Ricardo P., Nicole S. Nicholas, Nicholas Gaddum, et al.. (2017). Development of cost efficient platforms for the industrial manufacture of pluripotent stem cell-derived products for cell therapy: Cell expansion is the starting point. Cytotherapy. 19(5). S90–S90. 1 indexed citations
3.
Campo, Ana Belén, Rosa Méndez, José Manuel Cózar, et al.. (2015). Frequent HLA class I alterations in human prostate cancer: molecular mechanisms and clinical relevance. Cancer Immunology Immunotherapy. 65(1). 47–59. 39 indexed citations
4.
Mount, Natalie, Stephen Ward, Panos Kefalas, & Johan Hyllner. (2015). Cell-based therapy technology classifications and translational challenges. Philosophical Transactions of the Royal Society B Biological Sciences. 370(1680). 20150017–20150017. 121 indexed citations
5.
Dhondalay, Gopal Krishna, Katherine E. Lawrence, Stephen Ward, Graham Ball, & M. Hoare. (2014). Relationship between preparation of cells for therapy and cell quality using artificial neural network analysis. Artificial Intelligence in Medicine. 62(2). 119–127. 7 indexed citations
6.
Lawrence, Katherine E., et al.. (2014). An ultra scale‐down analysis of the recovery by dead‐end centrifugation of human cells for therapy. Biotechnology and Bioengineering. 112(5). 997–1011. 17 indexed citations
7.
Chapman, Chris & Stephen Ward. (2012). How to Manage Project Opportunity and Risk. ePrints Soton (University of Southampton). 43 indexed citations
8.
Papantoniou, Ioannis, et al.. (2010). Ultra scale‐down stress analysis of the bioprocessing of whole human cells as a basis for cancer vaccines. Biotechnology and Bioengineering. 107(6). 953–963. 8 indexed citations
9.
Ward, Stephen, et al.. (2010). Sub‐population analysis of human cancer vaccine cells—ultra scale‐down characterization of response to shear. Biotechnology and Bioengineering. 106(4). 584–597. 11 indexed citations
10.
Campo, Ana Belén, Natalia Aptsiauri, Rosa Méndez, et al.. (2009). Efficient Recovery of HLA Class I Expression in Human Tumor Cells After Beta2‐Microglobulin Gene Transfer Using Adenoviral Vector: Implications for Cancer Immunotherapy. Scandinavian Journal of Immunology. 70(2). 125–135. 33 indexed citations
11.
Derhovanessian, Evelyna, Victoria Adams, Karin Hähnel, et al.. (2009). Pretreatment frequency of circulating IL‐17+CD4+ T‐cells, but not Tregs, correlates with clinical response to whole‐cell vaccination in prostate cancer patients. International Journal of Cancer. 125(6). 1372–1379. 94 indexed citations
12.
Hoare, Mike, et al.. (2009). Ultra scale‐down studies of the effect of shear on cell quality; Processing of a human cell line for cancer vaccine therapy. Biotechnology Progress. 25(5). 1448–1458. 11 indexed citations
13.
Johnson, R. S., et al.. (2008). Cancer vaccines: will we ever learn?. Expert Review of Anticancer Therapy. 9(1). 67–74. 10 indexed citations
14.
Ward, Stephen, John Copier, & Angus Dalgleish. (2008). Technical challenges facing therapeutic cancer vaccines.. PubMed. 11(2). 168–77. 12 indexed citations
15.
Copier, John, Stephen Ward, & Angus Dalgleish. (2007). Cell based cancer vaccines: Regulatory and commercial development. Vaccine. 25. B35–B46. 27 indexed citations
16.
Ward, Stephen, et al.. (2007). Preliminary Guidelines and Recommendations for the Development of Material and Process Specifications for Carbon Fiber-Reinforced Liquid Resin Molded Materials. 1 indexed citations
17.
Suntharalingam, Ganesh, Meghan Perry, Stephen Ward, et al.. (2006). Cytokine Storm in a Phase 1 Trial of the Anti-CD28 Monoclonal Antibody TGN1412. New England Journal of Medicine. 355(10). 1018–1028. 1458 indexed citations breakdown →
18.
Labarthe, Marie‐Christine, Christiane Desel, Stephen Todryk, et al.. (2005). The biological effects of syngeneic and allogeneic cytokine-expressing prophylactic whole cell vaccines and the influence of irradiation in a murine melanoma model. Cancer Immunology Immunotherapy. 55(3). 277–288. 13 indexed citations
19.
Ward, Stephen, Marie‐Christine Labarthe, Michael Whelan, et al.. (2002). Immunotherapeutic potential of whole tumour cells. Cancer Immunology Immunotherapy. 51(7). 351–357. 85 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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