Heather E. Matthews

17 papers receiving 813 citations

Peers

Heather E. Matthews
Comparison fields: 5 of 50
  • Clinical Biochemistry 282
  • Parasitology 262
  • Infectious Diseases 97
  • Applied Microbiology and Biotechnology 8
  • Virology 14
Replace Karl H. Rudnick with:
Karl H. Rudnick United States
Rachael Melton United States
Livia Mancinelli Italy
Cristina Agasino Ivy United States
Vanessa Harpin United States
Joseph A. Ecker United States
Nathalie Bourgeois France
Manuela Onori Italy
Laurent Busson Belgium
Bécaye Fall Senegal
Heather E. Matthews relative to Karl H. Rudnick United States Karl H. Rudnick's profile →
Citations per field
00.5×2×4×6×8.5×
Karl H. Rudnick · 1×
Citations per year

Countries citing papers authored by Heather E. Matthews

Since Specialization
Citations

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

Fields of papers citing papers by Heather E. Matthews

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Heather E. Matthews. 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 Heather E. Matthews. The network helps show where Heather E. Matthews may publish in the future.

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2010148
2 201086
3 201075
4 201272
5 200964
6 200955
7 200953
8 200945
9 201340
10 201037
11 201235
12 201034
13 201233
14 201228
15 201024
16 201017
17 201212

About Heather E. Matthews

Heather E. Matthews is a scholar working on Clinical Biochemistry, Parasitology, Infectious Diseases, Endocrinology and Virology, having authored 17 papers that have together received 858 indexed citations. Recurring topics across this work include Vector-borne infectious diseases (5 papers), Bacterial Identification and Susceptibility Testing (5 papers), Antimicrobial Resistance in Staphylococcus (2 papers), Insect symbiosis and bacterial influences (1 paper), Parasitic Diseases Research and Treatment (1 paper), Influenza Virus Research Studies (1 paper), Mosquito-borne diseases and control (1 paper) and Vibrio bacteria research studies (1 paper). The work is most often cited by research in Clinical Biochemistry (282 citations), Parasitology (262 citations), Infectious Diseases (97 citations), Applied Microbiology and Biotechnology (8 citations) and Virology (14 citations). Heather E. Matthews has collaborated with scholars based in United States. Frequent co-authors include David J. Ecker, Mark W. Eshoo, Rangarajan Sampath, Chris D. Crowder, Lawrence B. Blyn, Megan A. Rounds, Steven E. Schutzer, Thomas A. Hall, Raymond Ranken and Yi‐Wei Tang. Their work appears in journals such as Journal of Clinical Microbiology, PLoS ONE, Journal of Medical Entomology, Diagnostic Microbiology and Infectious Disease and Applied and Environmental Microbiology.

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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