Gilbert Mazza

2.0k citations
32 papers · 1.7k · h-index 20

Impact in

Papers in

    • T-cell and B-cell Immunology 12
    • Immune Cell Function and Interaction 9
    • Immunotherapy and Immune Responses 4
    • Photosynthetic Processes and Mechanisms 6

Gilbert Mazza

32 papers receiving 1.6k citations

Peers

Gilbert Mazza
Comparison fields: 5 of 101
  • Immunology 924
  • Radiology, Nuclear Medicine and Imaging 323
  • Oncology 209
  • Cell Biology 133
  • Electrochemistry 50
Replace Régis Daniel with:
Régis Daniel France
Yukio Mitsui Japan
Claudia A. Lipschultz United States
Z Wieczorek Poland
Retsu Miura Japan
R. Banerjee United States
Gèrhard Kopperschläger Germany
David Fahrney United States
Asim K. Bera United States
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Citations per field
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Citations per year

Countries citing papers authored by Gilbert Mazza

Since Specialization
Citations

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

Fields of papers citing papers by Gilbert Mazza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003212
2 1993208
3 2002178
4 2000177
5 1965143
6 199793
7 199173
8 198072
9 200164
10 197764
11 196854
12 197249
13 198434
14 199230
15 197528
16 197523
17 199323
18 197322
19 198922
20 199621

About Gilbert Mazza

Gilbert Mazza is a scholar working on Immunology, Molecular Biology, Radiology, Nuclear Medicine and Imaging, Plant Science and Electrical and Electronic Engineering, having authored 32 papers that have together received 1.7k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (12 papers), Monoclonal and Polyclonal Antibodies Research (10 papers), Immune Cell Function and Interaction (9 papers), Enzyme-mediated dye degradation (7 papers), Photosynthetic Processes and Mechanisms (6 papers), Electrochemical sensors and biosensors (5 papers), Immunotherapy and Immune Responses (4 papers) and Hemoglobin structure and function (4 papers). The work is most often cited by research in Immunology (924 citations), Radiology, Nuclear Medicine and Imaging (323 citations), Oncology (209 citations), Cell Biology (133 citations) and Electrochemistry (50 citations). Gilbert Mazza has collaborated with scholars based in France, Denmark and United States. Frequent co-authors include Claude Grégoire, Karen G. Welinder, Bernard MALISSEN, Dominique Housset, Juan C. Fontecilla‐Camps, Claudine Darnault, Thomas Mosser, Jean‐Baptiste Reiser, Jean Le Gall and Anne‐Marie Schmitt‐Verhulst. Their work appears in journals such as European Journal of Biochemistry, Journal of Agricultural and Food Chemistry, Proceedings of the National Academy of Sciences, The EMBO Journal and European Journal of Immunology.

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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