Kate Webb

4.1k citations
52 papers · 1.5k indexed · 1 hit paper · h-index 14

Kate Webb

41 papers receiving 1.4k citations

Hit Papers

Male sex identified by global COVID-19 meta-analysis as a...8762020202620222024250500750

Peers

Kate Webb
Comparison fields: 5 of 134
  • Infectious Diseases 635
  • Modeling and Simulation 97
  • Neurology 252
  • Obstetrics and Gynecology 109
  • Health 78
Replace Charles Raine with:
Charles Raine United Kingdom
Hannah Peckham United Kingdom
Nina M. de Gruijter United Kingdom
Jianmin Jin China
Xiaofang Liu China
Mei Ding China
Priyank Desai Nigeria
Dilek Azkur Türkiye
Peng Bai China
Inderbir Padda United States
Kate Webb relative to Charles Raine United Kingdom Charles Raine's profile →
Citations per field
00.5×
Charles Raine · 1×
Citations per year

Countries citing papers authored by Kate Webb

Since Specialization
Citations

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

Fields of papers citing papers by Kate Webb

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20250
4 20241
5 20240
6 20240
7 20243
8 20226
9 202212
10 202221
11 202039
12
Male sex identified by global COVID-19 meta-analysis as a risk factor for death and ITU admissionbreakdown →
2020876
13 2019104
14 201523
15 20141
16 20144
17 20131
18 2009138
19 20083
20 200725

About Kate Webb

Kate Webb is a scholar working on Speech and Hearing, Developmental Biology, Hematology, Health Information Management and Surgery, having authored 52 papers that have together received 1.5k indexed citations. Recurring topics across this work include Kawasaki Disease and Coronary Complications (10 papers), Lipoproteins and Cardiovascular Health (9 papers), Health Systems, Economic Evaluations, Quality of Life (8 papers), COVID-19 Clinical Research Studies (5 papers), Autoimmune and Inflammatory Disorders Research (5 papers), Pharmaceutical Economics and Policy (5 papers), Adolescent and Pediatric Healthcare (4 papers) and Systemic Lupus Erythematosus Research (4 papers). The work is most often cited by research in Infectious Diseases (635 citations), Modeling and Simulation (97 citations), Neurology (252 citations), Obstetrics and Gynecology (109 citations) and Health (78 citations). Kate Webb has collaborated with scholars based in United Kingdom, South Africa and United States. Frequent co-authors include Lucy R. Wedderburn, Coziana Ciurtin, Hannah Peckham, Claire T. Deakin, Anna Radziszewska, Elizabeth C. Rosser, Nina M. de Gruijter, Charles Raine, Danny Liew and Dianna J. Magliano. Their work appears in journals such as Frontiers in Immunology, Clinical Therapeutics, Pediatric Rheumatology, American Journal of Cardiovascular Drugs and The Pediatric Infectious Disease Journal.

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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