J M Gabriel

1.0k total citations · 1 hit paper
14 papers, 828 citations indexed

About

J M Gabriel is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Neurology. According to data from OpenAlex, J M Gabriel has authored 14 papers receiving a total of 828 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Neurology. Recurrent topics in J M Gabriel's work include Prion Diseases and Protein Misfolding (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and Neurological diseases and metabolism (3 papers). J M Gabriel is often cited by papers focused on Prion Diseases and Protein Misfolding (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and Neurological diseases and metabolism (3 papers). J M Gabriel collaborates with scholars based in Switzerland, United States and Guadeloupe. J M Gabriel's co-authors include Stanley B. Prusiner, M. A. Baldwin, D. H. Lloyd, Fred Cohen, R.J. Fletterick, Marı́a Gasset, David M. Holtzman, Michael Scott, Robert J. Fletterick and Ziwei Huang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Brain.

In The Last Decade

J M Gabriel

14 papers receiving 808 citations

Hit Papers

Predicted alpha-helical regions of the prion protein when... 1992 2026 2003 2014 1992 50 100 150 200 250

Peers

J M Gabriel
Comparison fields: 5 of 62
  • Molecular Biology 651
  • Neurology 332
  • Nutrition and Dietetics 276
  • Neurology 158
  • Physiology 97
Replace Prusiner Sb with:
Prusiner Sb United States
Dan Serban United States
Boris Ballmer Switzerland
Stéphanie Simon France
Renée Vancraenenbroeck Belgium
Anne Wijkhuisen France
Jonathan Nardozzi United States
Suzanne J. Norwood Australia
Anne V. Thomas United States
Prusiner Sb United States View profile →
Citations per field, relative to J M Gabriel
J M Gabriel · 1×
Citations per year, relative to J M Gabriel
J M Gabriel · 1×

Countries citing papers authored by J M Gabriel

Since Specialization
Citations

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

Fields of papers citing papers by J M Gabriel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J M Gabriel

This figure shows the co-authorship network connecting the top 25 collaborators of J M Gabriel. A scholar is included among the top collaborators of J M Gabriel 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 J M Gabriel. J M Gabriel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
# Work Indexed citations
1 3
2 16
3
[Survival analysis of diabetic patients on dialysis in Guadeloupe].
6
4 25
5 44
6 43
7 148
8 74
9 99
10
Predicted alpha-helical regions of the prion protein when synthesized as peptides form amyloid. breakdown →
282
11 7
12 61
13 2
14 18

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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2026