Paul Moss

31.8k total citations · 4 hit papers
318 papers, 20.6k citations indexed

About

Paul Moss is a scholar working on Immunology, Epidemiology and Oncology. According to data from OpenAlex, Paul Moss has authored 318 papers receiving a total of 20.6k indexed citations (citations by other indexed papers that have themselves been cited), including 185 papers in Immunology, 97 papers in Epidemiology and 71 papers in Oncology. Recurrent topics in Paul Moss's work include Immune Cell Function and Interaction (104 papers), Cytomegalovirus and herpesvirus research (87 papers) and T-cell and B-cell Immunology (87 papers). Paul Moss is often cited by papers focused on Immune Cell Function and Interaction (104 papers), Cytomegalovirus and herpesvirus research (87 papers) and T-cell and B-cell Immunology (87 papers). Paul Moss collaborates with scholars based in United Kingdom, United States and Germany. Paul Moss's co-authors include John I. Bell, Andrew J. McMichael, Naeem Khan, Michael G. McHeyzer‐Williams, Dan H. Barouch, John D. Altman, Mark M. Davis, Philip Goulder, Laxman Nayak and Mark Cobbold and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and The Lancet.

In The Last Decade

Paul Moss

314 papers receiving 20.3k citations

Hit Papers

align trajectories sort by overperformance

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.

Phenotypic Analysis of Antigen-Specific T Lymphocytes

1996 3.0k citations Paul Moss et al. profile →
The T cell immune response against SARS-CoV-2

2022 766 citations Paul Moss Nature Immunology profile →
Cytomegalovirus Seropositivity Drives the CD8 T Cell Repertoire Toward Greater Clonality in Healthy Elderly Individuals

2002 570 citations Naeem Khan, Rachel Bruton et al. The Journal of Immunology profile →
Impact of COVID-19 on immunocompromised populations during the Omicron era: insights from the observational population-based INFORM study

2023 86 citations Paul Moss et al. profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Paul Moss	11.4k	5.7k	4.3k	3.2k	2.9k	318	20.6k
René A. W. van Lier	16.4k 1.4×	4.4k 0.8×	4.2k 1.0×	3.3k 1.0×	1.4k 0.5×	350	22.7k
Sergio Romagnani	20.6k 1.8×	3.7k 0.6×	4.9k 1.1×	4.7k 1.5×	1.8k 0.6×	350	36.0k
Ronald E. Gress	12.5k 1.1×	2.6k 0.5×	6.5k 1.5×	3.3k 1.0×	1.2k 0.4×	259	20.5k
Enrico Maggi	15.6k 1.4×	2.6k 0.5×	3.9k 0.9×	3.6k 1.1×	1.2k 0.4×	367	27.2k
Edgar G. Engleman	15.5k 1.4×	3.7k 0.6×	5.8k 1.3×	6.0k 1.9×	1.5k 0.5×	277	24.9k
David Klatzmann	12.0k 1.1×	3.8k 0.7×	3.0k 0.7×	4.2k 1.3×	2.7k 0.9×	358	22.3k
Louis J. Picker	16.9k 1.5×	6.5k 1.1×	3.4k 0.8×	4.7k 1.5×	4.0k 1.4×	199	29.2k
George Janossy	9.2k 0.8×	2.8k 0.5×	1.9k 0.4×	3.3k 1.0×	2.0k 0.7×	298	18.9k
Jordan S. Orange	14.1k 1.2×	3.3k 0.6×	3.2k 0.7×	3.2k 1.0×	1.4k 0.5×	322	19.8k
Yong-Jun Liu	19.6k 1.7×	2.6k 0.5×	2.8k 0.6×	3.9k 1.2×	1.0k 0.4×	208	28.1k

Countries citing papers authored by Paul Moss

Since Specialization

Citations

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

Fields of papers citing papers by Paul Moss

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paul Moss

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

All Works

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20 of 20 papers shown

Croft, Wayne, Kavita Singh, Janos Balega, et al.. (2024). The chromatin landscape of high-grade serous ovarian cancer metastasis identifies regulatory drivers in post-chemotherapy residual tumour cells. Communications Biology. 7(1). 1211–1211. 2 indexed citations

Halle‐Smith, James, Hayden Pearce, Samantha M. Nicol, et al.. (2024). Involvement of the Gut Microbiome in the Local and Systemic Immune Response to Pancreatic Ductal Adenocarcinoma. Cancers. 16(5). 996–996. 3 indexed citations

Verma, Kriti, Wayne Croft, Sandra Margielewska‐Davies, et al.. (2024). CD70 identifies alloreactive T cells and represents a potential target for prevention and treatment of acute GVHD. Blood Advances. 8(18). 4900–4912. 3 indexed citations

Pearce, Hayden, Wayne Croft, Samantha M. Nicol, et al.. (2023). Tissue-Resident Memory T Cells in Pancreatic Ductal Adenocarcinoma Coexpress PD-1 and TIGIT and Functional Inhibition Is Reversible by Dual Antibody Blockade. Cancer Immunology Research. 11(4). 435–449. 41 indexed citations

Dowell, Alexander C., Gokhan Tut, Jusnara Begum, et al.. (2023). Nasal mucosal IgA levels against SARS-CoV-2 and seasonal coronaviruses are low in children but boosted by reinfection. Journal of Infection. 87(5). 403–412. 4 indexed citations

Croft, Wayne, Hayden Pearce, Sandra Margielewska‐Davies, et al.. (2023). Spatial determination and prognostic impact of the fibroblast transcriptome in pancreatic ductal adenocarcinoma. eLife. 12. 13 indexed citations

Stirrup, Oliver, Madhumita Shrotri, Natalie Adams, et al.. (2023). Effectiveness of successive booster vaccine doses against SARS-CoV-2 related mortality in residents of long-term care facilities in the VIVALDI study. Age and Ageing. 52(8). 6 indexed citations

Jambo, Kondwani, David J. C. Miles, Anmol Kiran, et al.. (2022). Defective Monocyte Enzymatic Function and an Inhibitory Immune Phenotype in Human Immunodeficiency Virus-Exposed Uninfected African Infants in the Era of Antiretroviral Therapy. The Journal of Infectious Diseases. 226(7). 1243–1255. 8 indexed citations

Jinks, Elizabeth, Tracey A. Haigh, Baksho Kaul, et al.. (2022). Mutations in SARS-CoV-2 spike protein impair epitope-specific CD4+ T cell recognition. Nature Immunology. 23(12). 1726–1734. 19 indexed citations

10.

Parry, Helen, Alexander C. Dowell, Jianmin Zuo, et al.. (2021). PD-1 is imprinted on cytomegalovirus-specific CD4+ T cells and attenuates Th1 cytokine production whilst maintaining cytotoxicity. PLoS Pathogens. 17(3). e1009349–e1009349. 18 indexed citations

11.

Parry, Helen, Graham McIlroy, Rachel Bruton, et al.. (2021). Antibody responses after first and second Covid-19 vaccination in patients with chronic lymphocytic leukaemia. Blood Cancer Journal. 11(7). 136–136. 74 indexed citations

12.

Miles, David J. C., Annette Pachnio, Jusnara Begum, et al.. (2019). Early T Cell Differentiation with Well-Maintained Function across the Adult Life Course in Sub-Saharan Africa. The Journal of Immunology. 203(5). 1160–1171. 2 indexed citations

13.

Kinsella, Francesca, Jianmin Zuo, Charlotte Inman, et al.. (2019). Mixed chimerism established by hematopoietic stem cell transplantation is maintained by host and donor T regulatory cells. Blood Advances. 3(5). 734–743. 24 indexed citations

14.

Duchêne, Johan, Igor Novitzky‐Basso, Aude Thiriot, et al.. (2017). Atypical chemokine receptor 1 on nucleated erythroid cells regulates hematopoiesis. Nature Immunology. 18(7). 753–761. 70 indexed citations

15.

Zuo, Jianmin, Carrie R. Willcox, Fiyaz Mohammed, et al.. (2017). A disease-linked ULBP6 polymorphism inhibits NKG2D-mediated target cell killing by enhancing the stability of NKG2D ligand binding. Science Signaling. 10(481). 23 indexed citations

16.

Chan, Y L Tracey, Jianmin Zuo, Charlotte Inman, et al.. (2017). NK cells produce high levels of IL‐10 early after allogeneic stem cell transplantation and suppress development of acute GVHD. European Journal of Immunology. 48(2). 316–329. 31 indexed citations

17.

Pourgheysari, Batoul, et al.. (2007). The Cytomegalovirus-Specific CD4 ⁺ T-Cell Response Expands with Age and Markedly Alters the CD4 ⁺ T-Cell Repertoire. Journal of Virology. 81(14). 7759–7765. 172 indexed citations

18.

Sauce, Delphine, Martin Larsen, John Curnow, et al.. (2006). EBV-associated mononucleosis leads to long-term global deficit in T-cell responsiveness to IL-15. Blood. 108(1). 11–18. 53 indexed citations

19.

Peggs, Karl S., Stephanie Verfuerth, Arnold Pizzey, et al.. (2001). Cytomegalovirus-specific adoptive cellular therapy results in massive and persistent expansions of CMV-specific T-cells and significantly reduces the incidence of CMV reactivation following allogeneic transplantation.. UCL Discovery (University College London). 2 indexed citations

20.

Moss, Paul, et al.. (1991). EXTENSIVE CONSERVATION OF ALPHA-CHAIN AND BETA-CHAIN OF THE HUMAN T-CELL ANTIGEN RECEPTOR RECOGNIZING HLA-A2 AND INFLUENZA-A MATRIX PEPTIDE. UCL Discovery (University College London). 2 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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