Jonathan Clarke

3.7k citations
112 papers · 1.6k indexed · 1 hit paper · h-index 20

Jonathan Clarke

102 papers receiving 1.5k citations

Hit Papers

Characteristics and predictors of acute and chronic post-...211202120262022202450100150200

Peers

Jonathan Clarke
Comparison fields: 5 of 167
  • Health Information Management 109
  • Modeling and Simulation 102
  • Health Informatics 29
  • Geochemistry and Petrology 91
  • Neurology 219
Replace Zhiguo Zhang with:
Zhiguo Zhang China
Xiaodong Tan China
Bian Liu United States
Fei Wu China
Mohammad Chowdhury Canada
Alberto Freitas Portugal
Fares Qeadan United States
Mary Lou Thompson United States
Ashley Akbari United Kingdom
Tom Yates United Kingdom
Jonathan Clarke relative to Zhiguo Zhang China Zhiguo Zhang's profile →
Citations per field
00.5×9.1×
Zhiguo Zhang · 1×
Citations per year

Countries citing papers authored by Jonathan Clarke

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Clarke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20252
2 20240
3 20242
4 20244
5 20245
6 20240
7 20240
8 20235
9 20232
10 202212
11 202217
12 20213
13 20214
14 202144
15 202125
16 202122
17 20215
18 202051
19 202014
20 201943

About Jonathan Clarke

Jonathan Clarke is a scholar working on Health Information Management, Health Informatics, Cardiology and Cardiovascular Medicine, Hardware and Architecture and General Health Professions, having authored 112 papers that have together received 1.6k indexed citations. Recurring topics across this work include Blood Pressure and Hypertension Studies (22 papers), COVID-19 and healthcare impacts (14 papers), Sodium Intake and Health (11 papers), Chronic Disease Management Strategies (10 papers), Electronic Health Records Systems (9 papers), Medical Coding and Health Information (9 papers), VLSI and FPGA Design Techniques (8 papers) and Primary Care and Health Outcomes (8 papers). The work is most often cited by research in Health Information Management (109 citations), Modeling and Simulation (102 citations), Health Informatics (29 citations), Geochemistry and Petrology (91 citations) and Neurology (219 citations). Jonathan Clarke has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Ara Darzi, Hutan Ashrafian, Thomas Beaney, Viknesh Sounderajah, Kyle Lam, Azeem Majeed, Vageesh Jain, Fahad Iqbal, David Salman and Ana Luísa Neves. Their work appears in journals such as BMJ Open, Annals of Surgery, Journal of Medical Internet Research, European Heart Journal Supplements and npj Digital Medicine.

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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