Kimberly Thomas

7 papers receiving 66 citations

Peers

Kimberly Thomas
Comparison fields: 5 of 41
  • Pharmacology 17
  • Pathology and Forensic Medicine 16
  • Neurology 13
  • Infectious Diseases 14
  • Hepatology 6
Replace Л. В. Тарасова with:
Л. В. Тарасова Russia
Suhua Zhou China
K. L. Raikhelson Russia
Guillem Pons France
Rebecca Allcock United Kingdom
Zhixiong Fang China
Naïma El Hafidi Morocco
Samantha Carmichael Australia
Thomas Hueso France
Qindong Shi China
Kimberly Thomas relative to Л. В. Тарасова Russia Л. В. Тарасова's profile →
Citations per field
00.5×4.5×
Л. В. Тарасова · 1×
Citations per year

Countries citing papers authored by Kimberly Thomas

Since Specialization
Citations

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

Fields of papers citing papers by Kimberly Thomas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Kimberly 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 Kimberly Thomas Line = papers co-authored together Kimberly Thomas links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 200635
2 202216
3 20225
4 20094
5 20234
6
Clinical and Economic Benefits of Lenzilumab Plus Standard of Care Compared with Standard of Care Alone for the Treatment of Hospitalized Patients with Coronavirus Disease 19 (COVID-19) from the Perspective of National Health Service England
20223
7 20212
8 20100
9 20210

About Kimberly Thomas

Kimberly Thomas is a scholar working on Economics and Econometrics, Infectious Diseases, Pathology and Forensic Medicine, Neurology and Public Health, Environmental and Occupational Health, having authored 9 papers that have together received 69 indexed citations. Recurring topics across this work include Health Systems, Economic Evaluations, Quality of Life (2 papers), Multiple Sclerosis Research Studies (2 papers), COVID-19 Clinical Research Studies (2 papers), Long-Term Effects of COVID-19 (1 paper), Patient Satisfaction in Healthcare (1 paper), Heart Failure Treatment and Management (1 paper), Healthcare Quality and Management (1 paper) and Plant Toxicity and Pharmacological Properties (1 paper). The work is most often cited by research in Pharmacology (17 citations), Pathology and Forensic Medicine (16 citations), Neurology (13 citations), Infectious Diseases (14 citations) and Hepatology (6 citations). Kimberly Thomas has collaborated with scholars based in United States, Switzerland and Canada. Frequent co-authors include Carlos Zayas, Mark W. Johnson, Roshan Shrestha, Raymond A. Rubin, Moogeh Baharnoori, Nicholas Adlard, Barkha P. Patel, Virender Bhan, François Blanchette and Daniel Grima. Their work appears in journals such as JONA The Journal of Nursing Administration, Journal of Medical Economics, Journal of PeriAnesthesia Nursing, The Journal of Continuing Education in Nursing and Liver Transplantation.

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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