Sara Thomas

45 papers receiving 1.1k citations

Peers

Sara Thomas
Comparison fields: 5 of 112
  • Internal Medicine 170
  • Epidemiology 303
  • Parasitology 56
  • Virology 36
  • Hematology 76
Replace Thomas E. Nolan with:
Thomas E. Nolan United States
Janesh Gupta United Kingdom
L. M. Williamson United Kingdom
Joel A. Thompson United States
Marie‐Claude Blais Canada
Bonnie Zimmer United States
Alyssa Grimshaw United States
Claire Cook United States
Georgina Chambers Australia
Abraham Peedicayil India
Sara Thomas relative to Thomas E. Nolan United States Thomas E. Nolan's profile →
Citations per field
00.5×4.7×
Thomas E. Nolan · 1×
Citations per year

Countries citing papers authored by Sara Thomas

Since Specialization
Citations

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

Fields of papers citing papers by Sara Thomas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006345
2 2002225
3 2014101
4 201888
5 201541
6 201739
7 201931
8 201820
9 200320
10 201920
11 202120
12 200819
13 201917
14 201717
15 202016
16 201415
17 202213
18 198211
19 201611
20
Sequential Information Processing: The "Elevated First Response Effect" Can Contribute to Exaggerated Intra-Individual Variability in Older Adults.
20199

About Sara Thomas

Sara Thomas is a scholar working on Sociology and Political Science, Epidemiology, Clinical Psychology, Infectious Diseases and Social Psychology, having authored 48 papers that have together received 1.2k indexed citations. Recurring topics across this work include Herpesvirus Infections and Treatments (3 papers), Stress Responses and Cortisol (2 papers), Venous Thromboembolism Diagnosis and Management (2 papers), HIV/AIDS Research and Interventions (2 papers), Global Health Care Issues (2 papers), Cystic Fibrosis Research Advances (2 papers), Behavioral Health and Interventions (1 paper) and Patient Safety and Medication Errors (1 paper). The work is most often cited by research in Internal Medicine (170 citations), Epidemiology (303 citations), Parasitology (56 citations), Virology (36 citations) and Hematology (76 citations). Sara Thomas has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Liam Smeeth, Claire Cook, Andrew J. Hall, Patrick Vallance, Richard Hubbard, Simone Ispa‐Landa, Krishnan Bhaskaran, Caroline Minassian, Anthony Matthews and Ruth Farmer. Their work appears in journals such as BMJ Open, The Lancet, Thorax, Development and Psychopathology and Sexually Transmitted Infections.

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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