G A Cates

538 citations
17 papers · 464 · h-index 11

Impact in

Papers in

    • Muscle Physiology and Disorders 7
    • Ubiquitin and proteasome pathways 4
    • Respiratory viral infections research 3
    • Pneumonia and Respiratory Infections 2

G A Cates

17 papers receiving 444 citations

Peers

G A Cates
Comparison fields: 5 of 71
  • Immunology and Allergy 39
  • Infectious Diseases 102
  • Cell Biology 75
  • Epidemiology 146
  • Molecular Biology 261
Replace Alexandra Veit with:
Alexandra Veit Germany
Frank Wegmann Netherlands
Patrick Nédellec Canada
Yanal Murad Canada
Marisa Nia Madison United States
M. Kakinuma Japan
D. Ortmann Germany
Jennifer S. Bartholomew United Kingdom
Cornelia Oetke United Kingdom
Elizabeth Payne Australia
G A Cates relative to Alexandra Veit Germany Alexandra Veit's profile →
Citations per field
00.5×3.4×
Alexandra Veit · 1×
Citations per year

Countries citing papers authored by G A Cates

Since Specialization
Citations

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

Fields of papers citing papers by G A Cates

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside G A Cates, 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 A Cates Line = papers co-authored together G A Cates links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 199894
2 198461
3 200057
4 199155
5 197843
6 198739
7 198825
8 198520
9 199813
10 199111
11 198011
12 198710
13 19896
14 19975
15
Properties of recombinant HtrA: an otitis media vaccine candidate antigen from non-typeable Haemophilus influenzae.
20005
16 20095
17 19804

About G A Cates

G A Cates is a scholar working on Molecular Biology, Epidemiology, Cell Biology, Infectious Diseases and Cardiology and Cardiovascular Medicine, having authored 17 papers that have together received 464 indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (7 papers), Ubiquitin and proteasome pathways (4 papers), Respiratory viral infections research (3 papers), Animal Virus Infections Studies (2 papers), Cardiomyopathy and Myosin Studies (2 papers), Biotin and Related Studies (2 papers), Viral gastroenteritis research and epidemiology (2 papers) and Pneumonia and Respiratory Infections (2 papers). The work is most often cited by research in Immunology and Allergy (39 citations), Infectious Diseases (102 citations), Cell Biology (75 citations), Epidemiology (146 citations) and Molecular Biology (261 citations). G A Cates has collaborated with scholars based in Canada and France. Frequent co-authors include B. D. Sanwal, Anne Brickenden, Paul C. Holland, Eric H. Ball, Devki Nandan, Michel Klein, Mark Parrington, Olive James, Xiaomao Li and Suryaprakash Sambhara. Their work appears in journals such as Journal of Biological Chemistry, Biochemical Journal, Experimental Cell Research, Biologicals and Biochemistry and Cell 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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