Guy J. Georges

4.9k citations
72 papers · 3.8k · 3 hit papers · h-index 29

Impact in

Papers in

Guy J. Georges

70 papers receiving 3.6k citations

Guy J. Georges's Hit Papers

ImmuneBuilder: Deep-Learning models for predicting the structures of immune proteins 2023 · 192 citations
1920+5+10Years since publication100200300400

Peers

Guy J. Georges
Comparison fields: 5 of 89
  • Radiology, Nuclear Medicine and Imaging 1.7k
  • Molecular Biology 1.5k
  • Immunology 355
  • Pathology and Forensic Medicine 256
  • Computational Theory and Mathematics 229
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John R. Desjarlais United States
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Citations per year

Countries citing papers authored by Guy J. Georges

Since Specialization
Citations

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

Fields of papers citing papers by Guy J. Georges

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1
SAbDab: the structural antibody database
Hit paper breakdown →
2013438
2
Immunoglobulin domain crossover as a generic approach for the production of bispecific IgG antibodies
Hit paper breakdown →
2011396
3 2013316
4
ImmuneBuilder: Deep-Learning models for predicting the structures of immune proteins
Hit paper breakdown →
2023192
5 2011190
6 2016183
7 2016158
8 2022115
9 2018103
10 201778
11 201077
12
Prospects of bacterial and plant protein-based immunotoxins for treatment of cancer.
201473
13 202372
14 201167
15 200166
16
The emerging role of new protein scaffold-based agents for treatment of cancer.
201466
17 202063
18 201961
19 200850
20 201549

About Guy J. Georges

Guy J. Georges is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology, Immunology, Computational Theory and Mathematics and Nephrology, having authored 72 papers that have together received 3.8k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (42 papers), Protein Structure and Dynamics (25 papers), vaccines and immunoinformatics approaches (6 papers), Toxin Mechanisms and Immunotoxins (4 papers), Immunotherapy and Immune Responses (4 papers), Computational Drug Discovery Methods (3 papers), Protein purification and stability (3 papers) and Protease and Inhibitor Mechanisms (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.7k citations), Molecular Biology (1.5k citations), Immunology (355 citations), Pathology and Forensic Medicine (256 citations) and Computational Theory and Mathematics (229 citations). Guy J. Georges has collaborated with scholars based in Germany, Switzerland and United Kingdom. Frequent co-authors include Charlotte Mary Deane, Jiye Shi, Jinwoo Leem, Alexander Bujotzek, Christian Klein, Ulrich Brinkmann, Manfred Schwaiger, Konrad Krawczyk, Brennan Abanades and Ulrich H. Weidle. Their work appears in journals such as mAbs, Proteins Structure Function and Bioinformatics, Nucleic Acids Research, Bioinformatics and Frontiers in Molecular Biosciences.

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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