Clare Smith

995 citations
10 papers · 382 · h-index 7

Impact in

Papers in

    • COVID-19 Clinical Research Studies 5
    • SARS-CoV-2 and COVID-19 Research 1
    • Kawasaki Disease and Coronary Complications 3

Clare Smith

8 papers receiving 378 citations

Peers

Clare Smith
Comparison fields: 5 of 67
  • Transplantation 45
  • Infectious Diseases 162
  • Obstetrics and Gynecology 60
  • Immunology 90
  • Modeling and Simulation 17
Replace Vineet Mishra with:
Vineet Mishra India
Yorg Azzi United States
Francesca Puoti Italy
Virginia Quan United Kingdom
Jake A. Ruddy United States
Jennifer D. Motter United States
Roshan George United States
Lúcio Requião‐Moura Brazil
Gioacchino Andrea Rotulo Italy
Aykut Sifil Türkiye
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Citations per field
00.5×4.3×
Vineet Mishra · 1×
Citations per year

Countries citing papers authored by Clare Smith

Since Specialization
Citations

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

Fields of papers citing papers by Clare Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 2001136
2 202178
3 202277
4 202161
5 202013
6
Immunological monitoring of heart allograft recipients.
19877
7 20217
8 20213
9
Myocardial injury as a predictor of mortality and adverse outcomes in COVID-19
20210
10 20120

About Clare Smith

Clare Smith is a scholar working on Infectious Diseases, Surgery, Oncology, Obstetrics and Gynecology and Genetics, having authored 10 papers that have together received 382 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (5 papers), Kawasaki Disease and Coronary Complications (3 papers), COVID-19 and healthcare impacts (3 papers), COVID-19 Impact on Reproduction (2 papers), Child Nutrition and Feeding Issues (1 paper), Hemoglobinopathies and Related Disorders (1 paper), Blood groups and transfusion (1 paper) and SARS-CoV-2 and COVID-19 Research (1 paper). The work is most often cited by research in Transplantation (45 citations), Infectious Diseases (162 citations), Obstetrics and Gynecology (60 citations), Immunology (90 citations) and Modeling and Simulation (17 citations). Clare Smith has collaborated with scholars based in United Kingdom, United States and Spain. Frequent co-authors include Kathryn J. Wood, Cherry Kingsley, Peter J. Morris, Lorna Fraser, Simon Kenny, Nick D. Jones, Elizabeth S. Draper, Rachel Harwood, Russell Viner and Karen Luyt. Their work appears in journals such as Nature Medicine, The Journal of Immunology, Pediatric Critical Care Medicine, EClinicalMedicine and Companion Animal.

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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