Robert C. Rees

7.4k total citations
222 papers, 5.7k citations indexed

About

Robert C. Rees is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Robert C. Rees has authored 222 papers receiving a total of 5.7k indexed citations (citations by other indexed papers that have themselves been cited), including 96 papers in Immunology, 80 papers in Molecular Biology and 66 papers in Oncology. Recurrent topics in Robert C. Rees's work include Immunotherapy and Immune Responses (61 papers), Immune Cell Function and Interaction (35 papers) and Virus-based gene therapy research (24 papers). Robert C. Rees is often cited by papers focused on Immunotherapy and Immune Responses (61 papers), Immune Cell Function and Interaction (35 papers) and Virus-based gene therapy research (24 papers). Robert C. Rees collaborates with scholars based in United Kingdom, United States and Germany. Robert C. Rees's co-authors include Chris M. Bacon, I G Rennie, Karen Sisley, Stéphanie McArdle, John R. Ortaldo, C. W. Potter, Selman Ali, Graham Ball, A. M. Potter and D S Finbloom and has published in prestigious journals such as Nature, New England Journal of Medicine and Proceedings of the National Academy of Sciences.

In The Last Decade

Robert C. Rees

216 papers receiving 5.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Robert C. Rees United Kingdom 39 2.2k 2.2k 1.9k 664 596 222 5.7k
Paul Nathan United Kingdom 46 1.1k 0.5× 3.6k 1.7× 3.8k 2.0× 573 0.9× 1.0k 1.7× 272 7.9k
Antonio Martı́nez Spain 45 1.4k 0.6× 1.5k 0.7× 2.8k 1.4× 148 0.2× 891 1.5× 157 6.7k
Robert J. Lutz United States 42 988 0.4× 4.2k 2.0× 3.2k 1.6× 517 0.8× 463 0.8× 116 8.7k
Yi Liu China 34 1.1k 0.5× 2.1k 1.0× 667 0.3× 265 0.4× 212 0.4× 184 4.7k
Gerald P. Linette United States 41 3.6k 1.6× 3.6k 1.7× 5.5k 2.9× 136 0.2× 869 1.5× 123 9.2k
Christopher D. Lao United States 38 3.1k 1.4× 2.3k 1.1× 4.5k 2.3× 187 0.3× 310 0.5× 121 8.3k
Stefania Staibano Italy 43 730 0.3× 2.8k 1.3× 2.4k 1.3× 162 0.2× 689 1.2× 229 6.5k
Selma Ugurel Germany 49 2.5k 1.1× 3.6k 1.7× 4.9k 2.5× 111 0.2× 721 1.2× 236 8.3k
Hensin Tsao United States 50 1.7k 0.8× 5.1k 2.4× 5.5k 2.9× 270 0.4× 1.1k 1.8× 191 9.6k
Friedegund Meier Germany 48 1.3k 0.6× 3.7k 1.7× 3.9k 2.0× 130 0.2× 510 0.9× 218 7.4k

Countries citing papers authored by Robert C. Rees

Since Specialization
Citations

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

Fields of papers citing papers by Robert C. Rees

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert C. Rees. 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 Robert C. Rees. The network helps show where Robert C. Rees may publish in the future.

Co-authorship network of co-authors of Robert C. Rees

This figure shows the co-authorship network connecting the top 25 collaborators of Robert C. Rees. A scholar is included among the top collaborators of Robert C. Rees 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 Robert C. Rees. Robert C. Rees 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.
Rees, Robert C., et al.. (2025). IoT-based Aquaponics Monitoring System. International Journal of Science and Research (IJSR). 14(4). 2139–2143.
2.
LaForce, Craig, et al.. (2024). A Fully Decentralized Randomized Controlled Study of As-Needed Albuterol–Budesonide Fixed-Dose Inhaler in Mild Asthma: The BATURA Study Design. Journal of Asthma and Allergy. Volume 17. 801–811. 3 indexed citations
3.
Chipps, Bradley E., Elliot Israel, Richard Beasley, et al.. (2023). Albuterol-Budesonide Pressurized Metered Dose Inhaler in Patients With Mild-to-Moderate Asthma. CHEST Journal. 164(3). 585–595. 10 indexed citations
4.
Papi, Alberto, Bradley E. Chipps, Richard Beasley, et al.. (2022). Albuterol–Budesonide Fixed-Dose Combination Rescue Inhaler for Asthma. New England Journal of Medicine. 386(22). 2071–2083. 61 indexed citations
5.
Abdel-Fatah, Tarek M.A., Stéphanie McArdle, Devika Agarwal, et al.. (2015). HAGE in Triple-Negative Breast Cancer Is a Novel Prognostic, Predictive, and Actionable Biomarker: A Transcriptomic and Protein Expression Analysis. Clinical Cancer Research. 22(4). 905–914. 18 indexed citations
6.
Abdel-Fatah, Tarek M.A., Stéphanie McArdle, Catherine Johnson, et al.. (2014). HAGE (DDX43) is a biomarker for poor prognosis and a predictor of chemotherapy response in breast cancer. British Journal of Cancer. 110(10). 2450–2461. 24 indexed citations
7.
Rezvan, Hossein, et al.. (2012). Immunogenicity of MHC Class I Peptides Derived from Leishmania Mexicana Gp63 in HLA-A2.1 Transgenic (HHDII) and BALB/C Mouse Models. SHILAP Revista de lepidopterología. 11 indexed citations
8.
Boateng, Joshua, Richard G. Kay, Lee Lancashire, et al.. (2009). A proteomic approach combining MS and bioinformatic analysis for the detection and identification of biomarkers of administration of exogenous human growth hormone in humans. PROTEOMICS - CLINICAL APPLICATIONS. 3(8). 912–922. 5 indexed citations
9.
Li, Geng, Deepak Assudani, Aija Linē, et al.. (2008). Identification of Metastasis Associated Antigen 1 (MTA1) by Serological Screening of Prostate Cancer cDNA Libraries. PubMed. 2(1). 100–107. 11 indexed citations
10.
Hashemi, Rezvan, et al.. (2005). Leishmania Parasite Subunit Vaccine in HLA-A2 Transgenic Mouse Model. SHILAP Revista de lepidopterología. 1 indexed citations
11.
Ahmad, Murrium, Robert C. Rees, Stéphanie McArdle, et al.. (2005). Regulation of CTL responses to MHC‐restricted class I peptide of the gp70 tumour antigen by splenic parenchymal CD4+ T cells in mice failing immunotherapy with DISC–mGM‐CSF. International Journal of Cancer. 115(6). 951–959. 7 indexed citations
12.
Ali, Selman, et al.. (2004). Trafficking of tumor peptide‐specific cytotoxic T lymphocytes into the tumor microcirculation. International Journal of Cancer. 110(2). 239–244. 13 indexed citations
13.
Ali, Selman, Murrium Ahmad, C. S. McLean, et al.. (2004). Anti-tumour therapeutic efficacy of OX40L in murine tumour model. Vaccine. 22(27-28). 3585–3594. 43 indexed citations
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McIntyre, Catherine, Karen Chapman, M. Dorreen, et al.. (1992). Treatment of malignant melanoma and renal cell carcinoma with recombinant human interleukin-2: analysis of cytokine levels in sera and culture supernatants. European Journal of Cancer. 28(1). 58–63. 27 indexed citations
18.
Rogers, K, George Jacob, Christopher Stoddard, et al.. (1991). Factors influencing the establishment of tumour-infiltrating lymphocyte cultures from human breast carcinoma and colon carcinoma tissue. European Journal of Cancer and Clinical Oncology. 27(2). 149–154. 6 indexed citations
19.
Lilleyman, J S, et al.. (1987). Spontaneous natural killer cell activity in childhood acute lymphoblastic leukaemia. European Journal of Cancer and Clinical Oncology. 23(9). 1365–1370. 10 indexed citations
20.
Potter, C. W., et al.. (1986). Production of plasminogen activator by a primary HSV-2-induced hamster fibrosarcoma and itsin vivo derived sublines. Cancer. 57(8). 1522–1527. 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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