G.D. Noske

942 citations
14 papers · 252 · h-index 9

Impact in

Papers in

G.D. Noske

14 papers receiving 249 citations

Peers

G.D. Noske
Comparison fields: 5 of 48
  • Infectious Diseases 133
  • Computational Theory and Mathematics 106
  • Public Health, Environmental and Occupational Health 51
  • Virology 8
  • Microbiology 10
Replace Sydney A. Majowicz with:
Sydney A. Majowicz United States
Anna Offersgaard Denmark
Ian A. Durie United States
Winston Chiu Belgium
Rajani Kanta Mahapatra India
Petter I. Andersen Norway
Matthew Phanchana Thailand
Mohit Kumar India
Emmanuel Broni United States
Avinash Mishra India
G.D. Noske relative to Sydney A. Majowicz United States Sydney A. Majowicz's profile →
Citations per field
00.5×1.5×
Sydney A. Majowicz · 1×
Citations per year

Countries citing papers authored by G.D. Noske

Since Specialization
Citations

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

Fields of papers citing papers by G.D. Noske

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 202370
2 202149
3 202126
4 202220
5 202118
6 202316
7 202216
8 202014
9 202312
10 20213
11 20213
12 20232
13 20212
14 20241

About G.D. Noske

G.D. Noske is a scholar working on Infectious Diseases, Public Health, Environmental and Occupational Health, Molecular Biology, Computational Theory and Mathematics and Virology, having authored 14 papers that have together received 252 indexed citations. Recurring topics across this work include Mosquito-borne diseases and control (7 papers), SARS-CoV-2 and COVID-19 Research (6 papers), Computational Drug Discovery Methods (3 papers), Viral Infections and Outbreaks Research (2 papers), COVID-19 Clinical Research Studies (2 papers), Insect symbiosis and bacterial influences (2 papers), HIV Research and Treatment (2 papers) and Viral Infections and Vectors (2 papers). The work is most often cited by research in Infectious Diseases (133 citations), Computational Theory and Mathematics (106 citations), Public Health, Environmental and Occupational Health (51 citations), Virology (8 citations) and Microbiology (10 citations). G.D. Noske has collaborated with scholars based in Brazil, Moldova and United States. Frequent co-authors include Glaucius Oliva, R.S. Fernandes, André S. Godoy, Victor O. Gawriljuk, Rafael V. C. Guido, Peter Sjö, A.M. Nakamura, Marjorie C. L. C. Freire, Andrey Fabricio Ziem Nascimento and Sean Ekins. Their work appears in journals such as Journal of Visualized Experiments, Nature Communications, Biochimica et Biophysica Acta (BBA) - General Subjects, Acta Crystallographica Section A Foundations and Advances and Journal of Biological Chemistry.

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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