J Blumer

2.2k citations
59 papers · 1.7k · h-index 27

Impact in

Papers in

    • Protein Kinase Regulation and GTPase Signaling 22
    • Receptor Mechanisms and Signaling 18
    • Metabolism, Diabetes, and Cancer 9
    • Phosphodiesterase function and regulation 5
    • Cellular transport and secretion 5

J Blumer

58 papers receiving 1.7k citations

Peers

J Blumer
Comparison fields: 5 of 114
  • Cell Biology 299
  • Cellular and Molecular Neuroscience 326
  • Molecular Biology 1.2k
  • Aging 28
  • Immunology and Allergy 74
Replace Motoyoshi Sakaue with:
Motoyoshi Sakaue Japan
Tzvetanka Bondeva Germany
Jean-Pierre Morello Canada
N. Gregersen Denmark
Mie Nakaya Japan
Kees Fluiter Netherlands
Lina A. Shehadeh United States
Antonio Rapacciuolo Italy
Mannix Auger‐Messier Canada
Jean Mérot France
J Blumer relative to Motoyoshi Sakaue Japan Motoyoshi Sakaue's profile →
Citations per field
00.5×4.1×
Motoyoshi Sakaue · 1×
Citations per year

Countries citing papers authored by J Blumer

Since Specialization
Citations

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

Fields of papers citing papers by J Blumer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside J Blumer, 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 J Blumer Line = papers co-authored together J Blumer links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005143
2 2005109
3 2002103
4 2006103
5 200585
6 200579
7 200355
8 200855
9 201354
10 201054
11 200444
12 201042
13 199742
14 201139
15 201139
16 201338
17 201238
18 201137
19 201037
20 201035

About J Blumer

J Blumer is a scholar working on Molecular Biology, Cell Biology, Public Health, Environmental and Occupational Health, Oncology and Pediatrics, Perinatology and Child Health, having authored 59 papers that have together received 1.7k indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (22 papers), Receptor Mechanisms and Signaling (18 papers), Metabolism, Diabetes, and Cancer (9 papers), Phosphodiesterase function and regulation (5 papers), Cellular transport and secretion (5 papers), Pharmaceutical studies and practices (4 papers), Cell Adhesion Molecules Research (4 papers) and Innovations in Medical Education (4 papers). The work is most often cited by research in Cell Biology (299 citations), Cellular and Molecular Neuroscience (326 citations), Molecular Biology (1.2k citations), Aging (28 citations) and Immunology and Allergy (74 citations). J Blumer has collaborated with scholars based in United States, Canada and France. Frequent co-authors include Stephen M. Lanier, Motohiko Sato, Şükrü Sadik Öner, Alan V. Smrcka, Violaine Simon, L. Judson Chandler, John R. Hepler, Nicole Brown, Christopher P. Vellano and Ali Vural. Their work appears in journals such as Journal of Biological Chemistry, The FASEB Journal, Journal of Pharmacology and Experimental Therapeutics, Pharmacology Research & Perspectives and Carcinogenesis.

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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