Jonathan Blay

3.1k citations
66 papers · 2.7k · h-index 27

Impact in

  • Physiology top 0.2%
    • Adenosine and Purinergic Signaling
    • Calcium signaling and nucleotide metabolism
  • Immunology top 5%
    • Immune Cell Function and Interaction
    • Immune cells in cancer

Papers in

    • Glycosylation and Glycoproteins Research 4
    • Peptidase Inhibition and Analysis 7
    • Cancer Cells and Metastasis 4

Jonathan Blay

66 papers receiving 2.6k citations

Peers

Jonathan Blay
Comparison fields: 5 of 109
  • Physiology 781
  • Immunology 603
  • Oncology 664
  • Molecular Biology 1.1k
  • Cancer Research 214
Replace Nathalie Andrieu‐Abadie with:
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Citations per field
00.5×3.6×
Nathalie Andrieu‐Abadie · 1×
Citations per year

Countries citing papers authored by Jonathan Blay

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Blay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jonathan Blay, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jonathan Blay Line = papers co-authored together Jonathan Blay links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The extracellular fluid of solid carcinomas contains immunosuppressive concentrations of adenosine.
1997388
2 2008211
3 1985210
4 1984191
5 2012114
6 1999107
7 2004101
8 198490
9 202189
10
Adenosine inhibits the adhesion of anti-CD3-activated killer lymphocytes to adenocarcinoma cells through an A3 receptor.
199474
11 200270
12 198558
13 200355
14 201148
15 200347
16 200743
17 199740
18 200638
19 200238
20 200637

About Jonathan Blay

Jonathan Blay is a scholar working on Molecular Biology, Oncology, Physiology, Immunology and Pharmacology, having authored 66 papers that have together received 2.7k indexed citations. Recurring topics across this work include Adenosine and Purinergic Signaling (19 papers), Immune Cell Function and Interaction (11 papers), Peptidase Inhibition and Analysis (7 papers), Glycosylation and Glycoproteins Research (4 papers), Cancer Cells and Metastasis (4 papers), Immunotherapy and Immune Responses (4 papers), Cytomegalovirus and herpesvirus research (4 papers) and Cell Adhesion Molecules Research (4 papers). The work is most often cited by research in Physiology (781 citations), Immunology (603 citations), Oncology (664 citations), Molecular Biology (1.1k citations) and Cancer Research (214 citations). Jonathan Blay has collaborated with scholars based in Canada, Slovakia and United States. Frequent co-authors include David W. Hoskin, Kenneth D. Brown, Thomas D. White, David Conrad, Cynthia L. Richard, Jamie S. Mader, Karen Brown, Suzanne J. Furlong, Michael J. Berridge and Robin F. Irvine. Their work appears in journals such as Journal of Cellular Physiology, International Journal of Cancer, Biochemical and Biophysical Research Communications, Experimental Cell Research and Cancer Immunology Immunotherapy.

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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