G Guelde

445 citations
21 papers · 386 · h-index 12

Impact in

  • Immunology top 10%
    • Immune Response and Inflammation
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • Escherichia coli research studies

Papers in

    • T-cell and B-cell Immunology 7
    • Immune Response and Inflammation 7
    • Neutrophil, Myeloperoxidase and Oxidative Mechanisms 2
    • Immune Cell Function and Interaction 2
    • Immunotherapy and Immune Responses 2
    • Monoclonal and Polyclonal Antibodies Research 11

G Guelde

21 papers receiving 370 citations

Peers

G Guelde
Comparison fields: 5 of 64
  • Immunology 244
  • Endocrinology 54
  • Microbiology 48
  • Radiology, Nuclear Medicine and Imaging 97
  • Molecular Medicine 20
Replace L.D. Hazlett with:
L.D. Hazlett United States
Marta Brant Sweden
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Citations per field
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Citations per year

Countries citing papers authored by G Guelde

Since Specialization
Citations

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

Fields of papers citing papers by G Guelde

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199268
2 198966
3 198937
4 199225
5 198123
6 198221
7 199421
8 199020
9 198320
10 199720
11 199414
12 199513
13 19909
14 19948
15 19875
16 19825
17 19853
18
Monoclonal antibodies that recognize epitopes in the core and lipid A region of lipopolysaccharides.
19883
19 19972
20 19852

About G Guelde

G Guelde is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging, Molecular Biology, Endocrinology and Oncology, having authored 21 papers that have together received 386 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (11 papers), T-cell and B-cell Immunology (7 papers), Immune Response and Inflammation (7 papers), Escherichia coli research studies (4 papers), Glycosylation and Glycoproteins Research (2 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (2 papers), Immune Cell Function and Interaction (2 papers) and Immunotherapy and Immune Responses (2 papers). The work is most often cited by research in Immunology (244 citations), Endocrinology (54 citations), Microbiology (48 citations), Radiology, Nuclear Medicine and Imaging (97 citations) and Molecular Medicine (20 citations). G Guelde has collaborated with scholars based in United States. Frequent co-authors include Matthew Pollack, Nancy Koles, James J. Kenny, J. K. S. Chia, M.K. Miller, I Scher, Kazunori Oishi, Linda S. Wicker, J L Claflin and Christopher Ohl. Their work appears in journals such as The Journal of Immunology, The Journal of Infectious Diseases, Critical Care Medicine, International Immunology and Advances in experimental medicine and biology.

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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