Guy Robin

1.7k citations
43 papers · 1.3k · h-index 20

Impact in

Papers in

    • Escherichia coli research studies 11
    • Vibrio bacteria research studies 3
    • Viral gastroenteritis research and epidemiology 7
    • Clostridium difficile and Clostridium perfringens research 4

Guy Robin

41 papers receiving 1.2k citations

Peers

Guy Robin
Comparison fields: 5 of 107
  • Endocrinology 543
  • Algebra and Number Theory 166
  • Infectious Diseases 575
  • Discrete Mathematics and Combinatorics 84
  • Theoretical Computer Science 21
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Robert C. Vaughan United States
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Citations per field
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Citations per year

Countries citing papers authored by Guy Robin

Since Specialization
Citations

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

Fields of papers citing papers by Guy Robin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997218
2 1999191
3 1983105
4 199391
5 200375
6 199674
7 199349
8 198344
9 200441
10 199734
11
Human recombinant granulocyte-macrophage colony-stimulating factor augments viability and cytotoxic activities of human monocyte-derived macrophages in long-term cultures.
199130
12 199727
13 200124
14 200023
15 199622
16 200122
17 197422
18 199222
19 198921
20 199621

About Guy Robin

Guy Robin is a scholar working on Endocrinology, Infectious Diseases, Algebra and Number Theory, Discrete Mathematics and Combinatorics and Epidemiology, having authored 43 papers that have together received 1.3k indexed citations. Recurring topics across this work include Escherichia coli research studies (11 papers), Analytic Number Theory Research (8 papers), Viral gastroenteritis research and epidemiology (7 papers), Advanced Mathematical Identities (6 papers), Hepatitis Viruses Studies and Epidemiology (5 papers), Hepatitis B Virus Studies (4 papers), Clostridium difficile and Clostridium perfringens research (4 papers) and Vibrio bacteria research studies (3 papers). The work is most often cited by research in Endocrinology (543 citations), Algebra and Number Theory (166 citations), Infectious Diseases (575 citations), Discrete Mathematics and Combinatorics (84 citations) and Theoretical Computer Science (21 citations). Guy Robin has collaborated with scholars based in Israel, France and United States. Frequent co-authors include Dani Cohen, Nadav Orr, Jean-Louis Nicolas, R. Slepon, Manfred S. Green, Shai Ashkenazi, Thomas L. Hale, George H. Lowell, David N. Taylor and Isaac Ashkenazi. Their work appears in journals such as Infection and Immunity, The Journal of Infectious Diseases, Vaccine, Acta Arithmetica 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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