Sara E. Boyd

26 papers receiving 1.1k citations

Peers

Sara E. Boyd
Comparison fields: 5 of 135
  • Applied Microbiology and Biotechnology 222
  • Molecular Medicine 394
  • Endocrinology 93
  • Behavioral Neuroscience 61
  • General Dentistry 21
Replace Hiroyuki Suematsu with:
Hiroyuki Suematsu Japan
Marcello Mario D’Errico Italy
Sarit Sharma India
H. Häfner Germany
Phil Wiffen United Kingdom
Rafael Dal−Ré Spain
Ravi Gupta India
Jos WM van der Meer Netherlands
Evan Tzanis United States
Mamun-Ur Rashid Sweden
Sara E. Boyd relative to Hiroyuki Suematsu Japan Hiroyuki Suematsu's profile →
Citations per field
00.5×1.5×2.4×
Hiroyuki Suematsu · 1×
Citations per year

Countries citing papers authored by Sara E. Boyd

Since Specialization
Citations

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

Fields of papers citing papers by Sara E. Boyd

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018234
2 2020199
3 2006128
4 202281
5 201071
6 201062
7 201758
8 200748
9 201732
10 202329
11 200724
12 200824
13 200822
14 201021
15 200817
16 20168
17 20138
18 20077
19 20246
20 20254

About Sara E. Boyd

Sara E. Boyd is a scholar working on Applied Microbiology and Biotechnology, Clinical Psychology, Pharmacology, Molecular Medicine and General Health Professions, having authored 29 papers that have together received 1.1k indexed citations. Recurring topics across this work include Antibiotic Use and Resistance (9 papers), Family and Disability Support Research (5 papers), Antibiotic Resistance in Bacteria (5 papers), Antibiotics Pharmacokinetics and Efficacy (4 papers), Personality Disorders and Psychopathology (3 papers), Nosocomial Infections in ICU (2 papers), Autism Spectrum Disorder Research (2 papers) and Health Education and Validation (2 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (222 citations), Molecular Medicine (394 citations), Endocrinology (93 citations), Behavioral Neuroscience (61 citations) and General Dentistry (21 citations). Sara E. Boyd has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include William Hope, David M. Livermore, David C. Hooper, Alison Holmes, Lilia Zurkovsky, Anuja Chatterjee, Julie V. Robotham, Juergen Fell, Nichola R. Naylor and Alan P. Johnson. Their work appears in journals such as Journal of Antimicrobial Chemotherapy, Antimicrobial Agents and Chemotherapy, Journal of Dental Education, Journal of Midwifery & Women s Health and Neuroscience.

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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