Robert Hinch

27 papers receiving 973 citations

Robert Hinch's Hit Papers

The epidemiological impact of the NHS COVID-19 app 2021 · 175 citations
1750+1+3Years since publication50100150

Peers

Robert Hinch
Comparison fields: 5 of 113
  • Modeling and Simulation 107
  • Cardiology and Cardiovascular Medicine 367
  • Cellular and Molecular Neuroscience 164
  • Molecular Biology 504
  • Statistical and Nonlinear Physics 88
Replace Philip Bittihn with:
Philip Bittihn Germany
Christian L. Vestergaard France
Rene Markovič Slovenia
Haitao Song China
Alessandro Filisetti Italy
Robert HC Chen United States
Xiaofan Jin United States
Boris Kaminsky United States
Alexander Ullrich Germany
Marek Kochańczyk Poland
Robert Hinch relative to Philip Bittihn Germany Philip Bittihn's profile →
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Citations per year

Countries citing papers authored by Robert Hinch

Since Specialization
Citations

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

Fields of papers citing papers by Robert Hinch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The epidemiological impact of the NHS COVID-19 app
Hit paper breakdown →
2021175
2 2005114
3 2004113
4 201977
5 202165
6 200465
7 200454
8 200448
9 200535
10 200534
11 202034
12 200733
13 200424
14 202322
15 200221
16 202219
17 200510
18 20229
19 20049
20 20227

About Robert Hinch

Robert Hinch is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Cellular and Molecular Neuroscience, Modeling and Simulation and Statistical and Nonlinear Physics, having authored 29 papers that have together received 994 indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (11 papers), Ion channel regulation and function (10 papers), COVID-19 epidemiological studies (6 papers), Neuroscience and Neural Engineering (5 papers), stochastic dynamics and bifurcation (5 papers), Gene Regulatory Network Analysis (3 papers), CRISPR and Genetic Engineering (3 papers) and DNA Repair Mechanisms (2 papers). The work is most often cited by research in Modeling and Simulation (107 citations), Cardiology and Cardiovascular Medicine (367 citations), Cellular and Molecular Neuroscience (164 citations), Molecular Biology (504 citations) and Statistical and Nonlinear Physics (88 citations). Robert Hinch has collaborated with scholars based in United Kingdom, United States and South Africa. Frequent co-authors include Joseph L. Greenstein, Raimond L. Winslow, Antti Tanskanen, Christophe Fraser, Lucie Abeler‐Dörner, Stephen Coombes, Yulia Timofeeva, David Bonsall, Anjali Gupta Hinch and S. Jonathan Chapman. Their work appears in journals such as Progress in Biophysics and Molecular Biology, Biophysical Journal, Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences, PLoS Computational Biology and Journal of Theoretical Biology.

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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