Rob Baird

134 papers receiving 3.1k citations

Peers

Rob Baird
Comparison fields: 5 of 109
  • Microbiology 68
  • Parasitology 286
  • Epidemiology 999
  • Infectious Diseases 571
  • Applied Microbiology and Biotechnology 65
Replace Spencer S. Jang with:
Spencer S. Jang United States
Michael Kemp Denmark
José María Marimón Spain
Samir N. Patel Canada
Daniel Goldenberger Switzerland
Gerri S. Hall United States
Márcio Garcia Ribeiro Brazil
Jennifer M. B. Robson Australia
Matthew J. Bankowski United States
Ken Kikuchi Japan
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Citations per field
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Spencer S. Jang · 1×
Citations per year

Countries citing papers authored by Rob Baird

Since Specialization
Citations

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

Fields of papers citing papers by Rob Baird

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 144 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000437
2 1993146
3 2016142
4 2015137
5 2017135
6
ZIKA VIRUS INFECTION IN AUSTRALIA FOLLOWING A MONKEY BITE IN INDONESIA.
2015109
7 200095
8 199082
9 201481
10 198862
11 199160
12 199755
13 201455
14 201254
15 199653
16 201251
17 202249
18 200246
19 201743
20 201842

About Rob Baird

Rob Baird is a scholar working on Epidemiology, Infectious Diseases, Microbiology, Parasitology and Clinical Biochemistry, having authored 144 papers that have together received 3.3k indexed citations. Recurring topics across this work include Burkholderia infections and melioidosis (21 papers), Mosquito-borne diseases and control (10 papers), Bacterial Identification and Susceptibility Testing (10 papers), Antibiotic Resistance in Bacteria (9 papers), Streptococcal Infections and Treatments (9 papers), Nail Diseases and Treatments (9 papers), Bacterial Infections and Vaccines (7 papers) and Antimicrobial Resistance in Staphylococcus (6 papers). The work is most often cited by research in Microbiology (68 citations), Parasitology (286 citations), Epidemiology (999 citations), Infectious Diseases (571 citations) and Applied Microbiology and Biotechnology (65 citations). Rob Baird has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Susan V. Coloe, John Pedersen, Bart J. Currie, Don Liu, Nicholas M. Anstey, Michael S. Bronze, Brian Dwyer, Joshua Saul Davis, Linda M Ward and Steven Y. C. Tong. Their work appears in journals such as Journal of Clinical Microbiology, Pathology, Open Forum Infectious Diseases, The Medical Journal of Australia and American Journal of Tropical Medicine and Hygiene.

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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