Jonathan M Coxhead

62 papers receiving 3.7k citations

Jonathan M Coxhead's Hit Papers

Single-cell multi-omics analysis of the immune response in COVID-19 2021 · 488 citations
4880+1+3Years since publication100200300400

Peers

Jonathan M Coxhead
Comparison fields: 5 of 134
  • Immunology 634
  • Molecular Biology 1.9k
  • Clinical Biochemistry 172
  • Cancer Research 354
  • Ophthalmology 174
Replace Xin Gong with:
Xin Gong China
Melanie Jane McConnell New Zealand
Bent Honoré Denmark
Sylvie Giuriato France
Jayshree Advani India
Gustavo Pessini Amarante-Mendes Brazil
Patrick Legembre France
Michal Malewicz United Kingdom
Linda Faye van Dyk United States
Claudio Marcelo Fader Argentina
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Citations per field
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Citations per year

Countries citing papers authored by Jonathan M Coxhead

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan M Coxhead

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Single-cell multi-omics analysis of the immune response in COVID-19
Hit paper breakdown →
2021488
2 2002406
3
Developmental cell programs are co-opted in inflammatory skin disease
Hit paper breakdown →
2021387
4 2009242
5 2018169
6 2021145
7 2003135
8 2022127
9 2020115
10 2021105
11 2017104
12 201994
13 201887
14 202183
15 201474
16 201568
17 201764
18 202263
19 201563
20 201662

About Jonathan M Coxhead

Jonathan M Coxhead is a scholar working on Cancer Research, Ophthalmology, Molecular Biology, Immunology and Clinical Biochemistry, having authored 63 papers that have together received 3.8k indexed citations. Recurring topics across this work include Retinal Development and Disorders (8 papers), Mitochondrial Function and Pathology (7 papers), Immune Cell Function and Interaction (7 papers), Retinal Diseases and Treatments (6 papers), Genetic factors in colorectal cancer (5 papers), Single-cell and spatial transcriptomics (5 papers), Metabolism and Genetic Disorders (5 papers) and NF-κB Signaling Pathways (4 papers). The work is most often cited by research in Immunology (634 citations), Molecular Biology (1.9k citations), Clinical Biochemistry (172 citations), Cancer Research (354 citations) and Ophthalmology (174 citations). Jonathan M Coxhead has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include John Cummings Mathers, Rafiqul Hussain, Elizabeth A. Williams, Patricia Domínguez‐Cuevas, Richard A. Daniel, Mark Leaver, Jeff Errington, Gillian Smith, R. Colin Garner and Robert JC Steele. Their work appears in journals such as Nature Communications, PLoS Genetics, Biochemical Journal, Cell Death and Disease and Proceedings of the National Academy of Sciences.

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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