J Blumer

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

Impact in

Papers in

    • Protein Kinase Regulation and GTPase Signaling 23
    • Receptor Mechanisms and Signaling 18
    • Metabolism, Diabetes, and Cancer 9
    • Phosphodiesterase function and regulation 5
    • Cellular transport and secretion 6

J Blumer

57 papers receiving 1.6k citations

Peers

J Blumer
Comparison fields: 5 of 115
  • Cell Biology 300
  • Cellular and Molecular Neuroscience 321
  • Molecular Biology 1.2k
  • Aging 28
  • Immunology and Allergy 75
Replace Helge Boman with:
Helge Boman Norway
Motoyoshi Sakaue Japan
Kees Fluiter Netherlands
Luisa Gregori United States
Jean Mérot France
Juan Luo China
Jacqueline Ohanian United Kingdom
Sophia Havaki Greece
Jian Ma China
Patrick G. Quinn United States
J Blumer relative to Helge Boman Norway Helge Boman's profile →
Citations per field
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Helge Boman · 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 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005141
2 2002101
3 2005101
4 200698
5 200578
6 200572
7 200355
8 200854
9 201053
10 201350
11 200443
12 201040
13 201139
14 199737
15 201137
16 201237
17 201337
18 201136
19 201035
20 201034

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 58 papers that have together received 1.7k indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (23 papers), Receptor Mechanisms and Signaling (18 papers), Metabolism, Diabetes, and Cancer (9 papers), Cellular transport and secretion (6 papers), Phosphodiesterase function and regulation (5 papers), Cell Adhesion Molecules Research (4 papers), Pharmaceutical studies and practices (4 papers) and Innovations in Medical Education (4 papers). The work is most often cited by research in Cell Biology (300 citations), Cellular and Molecular Neuroscience (321 citations), Molecular Biology (1.2k citations), Aging (28 citations) and Immunology and Allergy (75 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, Violaine Simon, Alan V. Smrcka, L. Judson Chandler, John R. Hepler, Nicole Brown, Christopher P. Vellano and Ningfei An. Their work appears in journals such as Journal of Biological Chemistry, The FASEB Journal, Pharmacology Research & Perspectives, Journal of Pharmacology and Experimental Therapeutics and Molecular Pharmacology.

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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