Nick D. Jones

5.2k total citations
55 papers, 2.1k citations indexed

About

Nick D. Jones is a scholar working on Immunology, Epidemiology and Oncology. According to data from OpenAlex, Nick D. Jones has authored 55 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Immunology, 7 papers in Epidemiology and 6 papers in Oncology. Recurrent topics in Nick D. Jones's work include T-cell and B-cell Immunology (34 papers), Immune Cell Function and Interaction (31 papers) and Immunotherapy and Immune Responses (27 papers). Nick D. Jones is often cited by papers focused on T-cell and B-cell Immunology (34 papers), Immune Cell Function and Interaction (31 papers) and Immunotherapy and Immune Responses (27 papers). Nick D. Jones collaborates with scholars based in United Kingdom, United States and India. Nick D. Jones's co-authors include Kathryn J. Wood, André van Maurik, Matthew O. Brook, Peter J. Morris, Manuela Carvalho‐Gaspar, Masaki Hara, Andrew Bushell, Bernd M. Spriewald, Oliver Witzke and Andrew L. Mellor and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and The Journal of Immunology.

In The Last Decade

Nick D. Jones

55 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nick D. Jones United Kingdom 24 1.3k 420 324 324 183 55 2.1k
Mir‐Farzin Mashreghi Germany 26 1.2k 1.0× 639 1.5× 336 1.0× 269 0.8× 314 1.7× 84 2.3k
Elise Chiffoleau France 27 1.6k 1.3× 628 1.5× 253 0.8× 312 1.0× 294 1.6× 48 2.4k
Michèle Heslan France 25 1.5k 1.2× 404 1.0× 180 0.6× 204 0.6× 194 1.1× 37 2.1k
B Wa̧sowska United States 27 828 0.7× 241 0.6× 821 2.5× 788 2.4× 82 0.4× 91 2.1k
Carole Guillonneau France 29 1.4k 1.2× 316 0.8× 129 0.4× 150 0.5× 326 1.8× 58 1.9k
B. Ryffel Switzerland 19 517 0.4× 354 0.8× 121 0.4× 129 0.4× 167 0.9× 36 1.2k
Miriam Segall United States 20 1.0k 0.8× 204 0.5× 237 0.7× 167 0.5× 152 0.8× 57 1.7k
Ruka Setoguchi Japan 11 3.0k 2.4× 428 1.0× 170 0.5× 77 0.2× 541 3.0× 14 3.6k
Adriana Karina Chávez-Rueda Mexico 20 1.1k 0.9× 255 0.6× 157 0.5× 41 0.1× 185 1.0× 53 1.7k
Christophe Malcus France 24 933 0.7× 283 0.7× 203 0.6× 140 0.4× 156 0.9× 52 1.8k

Countries citing papers authored by Nick D. Jones

Since Specialization
Citations

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

Fields of papers citing papers by Nick D. Jones

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nick D. Jones. 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 Nick D. Jones. The network helps show where Nick D. Jones may publish in the future.

Co-authorship network of co-authors of Nick D. Jones

This figure shows the co-authorship network connecting the top 25 collaborators of Nick D. Jones. A scholar is included among the top collaborators of Nick D. Jones 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 Nick D. Jones. Nick D. Jones 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.
Morgan, Claire, et al.. (2019). Human Growth Factor Homologues, Detected in Externalised Secretions of Medicinal Larvae, Could be Responsible for Maggot-Induced Wound Healing. 6(4). 1. 1 indexed citations
2.
Ulvmar, Maria H., David R. Withers, Fiona M. McConnell, et al.. (2017). Concurrent OX40 and CD30 Ligand Blockade Abrogates the CD4-Driven Autoimmunity Associated with CTLA4 and PD1 Blockade while Preserving Excellent Anti-CD8 Tumor Immunity. The Journal of Immunology. 199(3). 974–981. 4 indexed citations
3.
Wood, Kathryn J., et al.. (2010). Anti-OX40 Prevents Effector T-Cell Accumulation and CD8+ T-Cell Mediated Skin Allograft Rejection. Transplantation. 90(12). 1265–1271. 23 indexed citations
4.
Jones, Nick D., et al.. (2010). Regulatory T cells can prevent memory CD8+ T‐cell‐mediated rejection following polymorphonuclear cell depletion. European Journal of Immunology. 40(11). 3107–3116. 28 indexed citations
5.
Αντωνιάδης, Άθως, Ioanna Kalvari, Constantinos S. Pattichis, et al.. (2009). Discovering genetic polymorphism associated with gene expression levels across the whole genome. PubMed. 2009. 5466–5469. 1 indexed citations
6.
Wood, Kathryn J., Andrew Bushell, & Nick D. Jones. (2009). The Discovery of Immunological Tolerance: Now More Than Just a Laboratory Solution. The Journal of Immunology. 184(1). 3–4. 12 indexed citations
7.
Carvalho‐Gaspar, Manuela, Nick D. Jones, Shiqiao Luo, et al.. (2008). Location and Time-Dependent Control of Rejection by Regulatory T Cells Culminates in a Failure to Generate Memory T Cells. The Journal of Immunology. 180(10). 6640–6648. 49 indexed citations
8.
Steger, Ulrich, Christian Denecke, Birgit Sawitzki, et al.. (2008). Exhaustive Differentiation of Alloreactive CD8+ T Cells: Critical for Determination of Graft Acceptance or Rejection. Transplantation. 85(9). 1339–1347. 40 indexed citations
9.
Wood, Kathryn J., et al.. (2007). Natural Killer T Cells: A Bridge to Tolerance or a Pathway to Rejection?. Transplantation. 84(6). 679–681. 22 indexed citations
10.
Jones, Nick D., Manuela Carvalho‐Gaspar, Shiqiao Luo, et al.. (2006). Effector and Memory CD8+ T Cells Can Be Generated in Response to Alloantigen Independently of CD4+ T Cell Help. The Journal of Immunology. 176(4). 2316–2323. 39 indexed citations
11.
Maurik, André van, Barbara Fazekas de St Groth, Kathryn J. Wood, & Nick D. Jones. (2004). Dependency of Direct Pathway CD4+ T Cells on CD40-CD154 Costimulation Is Determined by Nature and Microenvironment of Primary Contact with Alloantigen. The Journal of Immunology. 172(4). 2163–2170. 15 indexed citations
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Jones, Nick D., Stuart E. Turvey, André van Maurik, et al.. (2001). Differential Susceptibility of Heart, Skin, and Islet Allografts to T Cell-Mediated Rejection. The Journal of Immunology. 166(4). 2824–2830. 136 indexed citations
14.
Jones, Nick D., André van Maurik, Bernd M. Spriewald, et al.. (2000). CD40-CD40L independent activation of CD8+T cells can trigger allograft rejection.. Transplantation. 69. 3 indexed citations
15.
Hara, Masaki, Nick D. Jones, André van Maurik, et al.. (1999). In vivo differentiation of alloreactive CD8+ T cells after murine cardiac allograft transplantation. Transplantation Proceedings. 31(1-2). 130–130. 1 indexed citations
16.
Hara, Masaki, Nick D. Jones, André van Maurik, et al.. (1999). In vivo cytokine production by allospecific CD8+ transgenic T cells after heart transplantation. Transplantation Proceedings. 31(1-2). 91–91. 1 indexed citations
17.
Barbara, J. A. J., Masaki Hara, André van Maurik, et al.. (1999). THE VISUALIZATION OF T CELL RESPONSES1. Transplantation. 67(12). 1508–1514. 1 indexed citations
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20.
Jones, Nick D., et al.. (1997). Deletion of alloantigen‐reactive thymocytes as a mechanism of adult tolerance induction following intrathymic antigen administration. European Journal of Immunology. 27(7). 1591–1600. 32 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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