John R. Webb

6.2k total citations · 1 hit paper
95 papers, 4.7k citations indexed

About

John R. Webb is a scholar working on Immunology, Epidemiology and Oncology. According to data from OpenAlex, John R. Webb has authored 95 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Immunology, 17 papers in Epidemiology and 15 papers in Oncology. Recurrent topics in John R. Webb's work include Immune Cell Function and Interaction (25 papers), T-cell and B-cell Immunology (17 papers) and Immunotherapy and Immune Responses (13 papers). John R. Webb is often cited by papers focused on Immune Cell Function and Interaction (25 papers), T-cell and B-cell Immunology (17 papers) and Immunotherapy and Immune Responses (13 papers). John R. Webb collaborates with scholars based in Canada, United States and China. John R. Webb's co-authors include Brad H. Nelson, Katy Milne, Peter H. Watson, Robert A. Holt, Steven G. Reed, Antonio Campos‐Neto, Robin M. Warren, Jamie Freeman, David R. Kroeger and Ronald J. deLeeuw and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Experimental Medicine and The Journal of Immunology.

In The Last Decade

John R. Webb

94 papers receiving 4.6k citations

Hit Papers

The Mammalian SIR2α Protein Has a Role in Embryogenesis a... 2002 2026 2010 2018 2002 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John R. Webb Canada 36 2.2k 1.6k 864 840 727 95 4.7k
Christoph Grimm Austria 39 523 0.2× 1.6k 1.0× 927 1.1× 917 1.1× 195 0.3× 218 4.9k
Brian Harmon Australia 27 1.2k 0.5× 1.2k 0.8× 382 0.4× 3.3k 3.9× 205 0.3× 44 6.0k
Shinsuke Iida Japan 46 2.7k 1.2× 2.7k 1.7× 435 0.5× 3.0k 3.6× 255 0.4× 331 7.8k
US Khoo Hong Kong 33 329 0.1× 840 0.5× 384 0.4× 2.0k 2.4× 405 0.6× 131 3.7k
Claire M. Payne United States 40 464 0.2× 1.3k 0.8× 502 0.6× 2.1k 2.5× 168 0.2× 128 5.4k
David M. Weinstock United States 46 779 0.3× 2.0k 1.3× 584 0.7× 3.4k 4.1× 402 0.6× 169 6.8k
Anne‐Marie Mes‐Masson Canada 50 1.3k 0.6× 2.7k 1.7× 326 0.4× 4.4k 5.3× 486 0.7× 272 9.1k
Robert Hromas United States 55 2.7k 1.2× 2.7k 1.7× 493 0.6× 6.1k 7.3× 433 0.6× 207 10.4k
Prasad Koduru United States 25 595 0.3× 1.4k 0.9× 458 0.5× 1.8k 2.2× 488 0.7× 134 4.5k
David L. Bartlett United States 57 2.9k 1.3× 5.8k 3.7× 1.5k 1.7× 3.5k 4.1× 119 0.2× 218 10.9k

Countries citing papers authored by John R. Webb

Since Specialization
Citations

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

Fields of papers citing papers by John R. Webb

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John R. Webb. 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 John R. Webb. The network helps show where John R. Webb may publish in the future.

Co-authorship network of co-authors of John R. Webb

This figure shows the co-authorship network connecting the top 25 collaborators of John R. Webb. A scholar is included among the top collaborators of John R. Webb 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 John R. Webb. John R. Webb 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.
Laumont, Céline M., Maartje C.A. Wouters, Julian Smazynski, et al.. (2021). Single-cell Profiles and Prognostic Impact of Tumor-Infiltrating Lymphocytes Coexpressing CD39, CD103, and PD-1 in Ovarian Cancer. Clinical Cancer Research. 27(14). 4089–4100. 70 indexed citations
2.
Smazynski, Julian, Phineas T. Hamilton, Katy Milne, et al.. (2020). The immune suppressive factors CD155 and PD-L1 show contrasting expression patterns and immune correlates in ovarian and other cancers. Gynecologic Oncology. 158(1). 167–177. 26 indexed citations
3.
Dreolini, Lisa, Mark R. Cullen, Eric Yung, et al.. (2020). A Rapid and Sensitive Nucleic Acid Amplification Technique for Mycoplasma Screening of Cell Therapy Products. Molecular Therapy — Methods & Clinical Development. 17. 393–399. 18 indexed citations
4.
Wall, Erika M., et al.. (2019). Interaction of Treponema pallidum, the syphilis spirochete, with human platelets. PLoS ONE. 14(1). e0210902–e0210902. 19 indexed citations
5.
Wang, Zhiqiang, Katy Milne, Heather Derocher, et al.. (2016). CD103 and Intratumoral Immune Response in Breast Cancer. Clinical Cancer Research. 22(24). 6290–6297. 130 indexed citations
6.
Webb, John R., et al.. (2014). Analysis of Kepler Lightcurves Using Turbulent Jet Model. AAS. 223. 1 indexed citations
7.
Webb, John R., Katy Milne, & Brad H. Nelson. (2014). Location, location, location. OncoImmunology. 3(2). e27668–e27668. 39 indexed citations
8.
Wick, Darin A., John R. Webb, Julie S. Nielsen, et al.. (2013). Surveillance of the Tumor Mutanome by T Cells during Progression from Primary to Recurrent Ovarian Cancer. Clinical Cancer Research. 20(5). 1125–1134. 126 indexed citations
9.
Nielsen, Julie S., Darin A. Wick, Eric Tran, Brad H. Nelson, & John R. Webb. (2010). An in vitro-transcribed-mRNA polyepitope construct encoding 32 distinct HLA class I-restricted epitopes from CMV, EBV, and Influenza for use as a functional control in human immune monitoring studies. Journal of Immunological Methods. 360(1-2). 149–156. 13 indexed citations
10.
Freeman, Jamie, Robin M. Warren, John R. Webb, Brad H. Nelson, & Robert A. Holt. (2009). Profiling the T-cell receptor beta-chain repertoire by massively parallel sequencing. Genome Research. 19(10). 1817–1824. 291 indexed citations
13.
Webb, John R., et al.. (2002). Time Series Analysis of Microvariability in Blazars. American Astronomical Society Meeting Abstracts. 201. 1 indexed citations
14.
Probst, Peter, Erika Strömberg, H.W. Ghalib, et al.. (2001). Identification and Characterization of T Cell-Stimulating Antigens from Leishmania by CD4 T Cell Expression Cloning. The Journal of Immunology. 166(1). 498–505. 70 indexed citations
15.
Chakir, Habiba, et al.. (2000). Differentiation of Murine NK Cells into Distinct Subsets Based on Variable Expression of the IL-12Rβ2 Subunit. The Journal of Immunology. 165(9). 4985–4993. 25 indexed citations
16.
Shrader, C. R., R. C. Hartman, & John R. Webb. (1996). Probable detection of high-energy gamma-ray emission from OJ 287 during a major optical flare.. Astronomy & Astrophysics Supplement Series. 120. 599. 1 indexed citations
17.
Oswalt, T. D., J. B. Rafert, J. A. Smith, et al.. (1994). Long-Distance Astronomy: The SARA 0.9-m Telescope at Kitt Peak. American Astronomical Society Meeting Abstracts. 185. 1 indexed citations
18.
Tanarro, Luis M., et al.. (1991). Time Series Analysis of 10 EXOSAT Observations of PKS 2155-30. Bulletin of the American Astronomical Society. 23. 1421. 1 indexed citations
19.
Webb, John R., Linda L. Button, & W. Robert McMaster. (1991). Heterogeneity of the genes encoding the major surface glycoprotein of Leishmania donovani. Molecular and Biochemical Parasitology. 48(2). 173–184. 55 indexed citations
20.
Webb, John R. & John Pesek. (1958). Water-Soluble Phosphates. Iowa State University Digital Repository (Iowa State University). 12(8). 4. 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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