Simon A. Cobbold

2.5k citations
39 papers · 1.7k · h-index 23

Impact in

Papers in

Simon A. Cobbold

39 papers receiving 1.7k citations

Peers

Simon A. Cobbold
Comparison fields: 5 of 93
  • Public Health, Environmental and Occupational Health 956
  • Parasitology 209
  • Virology 86
  • Computational Theory and Mathematics 217
  • Epidemiology 289
Replace Natalie J. Spillman with:
Natalie J. Spillman Australia
Selina E. R. Bopp United States
Emilio Fernando Merino United States
Anupam Pradhan United States
Shannon Kenny Australia
Lubin Jiang China
Leila Saxby Ross United States
Xavier C. Ding Switzerland
Leyla Y. Bustamante United Kingdom
Souvik Bhattacharjee United States
Simon A. Cobbold relative to Natalie J. Spillman Australia Natalie J. Spillman's profile →
Citations per field
00.5×2×4×6.4×
Natalie J. Spillman · 1×
Citations per year

Countries citing papers authored by Simon A. Cobbold

Since Specialization
Citations

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

Fields of papers citing papers by Simon A. Cobbold

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018218
2 2021147
3 2012128
4 2019118
5 201678
6 201374
7 201473
8 201972
9 201869
10 202066
11 201662
12 201557
13 201746
14 201445
15 201642
16 201634
17 201833
18 201932
19 202532
20 202230

About Simon A. Cobbold

Simon A. Cobbold is a scholar working on Public Health, Environmental and Occupational Health, Oncology, Molecular Biology, Virology and Epidemiology, having authored 39 papers that have together received 1.7k indexed citations. Recurring topics across this work include Malaria Research and Control (21 papers), Ubiquitin and proteasome pathways (8 papers), Mosquito-borne diseases and control (7 papers), Drug Transport and Resistance Mechanisms (6 papers), HIV/AIDS drug development and treatment (5 papers), Trypanosoma species research and implications (5 papers), Metabolomics and Mass Spectrometry Studies (4 papers) and HIV Research and Treatment (4 papers). The work is most often cited by research in Public Health, Environmental and Occupational Health (956 citations), Parasitology (209 citations), Virology (86 citations), Computational Theory and Mathematics (217 citations) and Epidemiology (289 citations). Simon A. Cobbold has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Malcolm John McConville, Manuel Llinás, Stuart A. Ralph, Leann M. Tilley, Jessica L. Bridgford, David L. Gillett, Stanley C. Xie, Tuo Yang, Natalie J. Spillman and Darren J. Creek. Their work appears in journals such as Scientific Reports, Journal of Biological Chemistry, Nature Communications, mBio and PLoS Pathogens.

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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