John Fozard

2.2k citations
35 papers · 1.3k · h-index 18

Impact in

Papers in

    • Plant Reproductive Biology 6
    • Plant Molecular Biology Research 10
    • Plant nutrient uptake and metabolism 4
    • Polysaccharides and Plant Cell Walls 3
    • Light effects on plants 3

John Fozard

35 papers receiving 1.2k citations

Peers

John Fozard
Comparison fields: 5 of 124
  • Modeling and Simulation 132
  • Cell Biology 184
  • Cellular and Molecular Neuroscience 202
  • Plant Science 362
  • Molecular Biology 593
Replace Hédi Soula with:
Hédi Soula France
Edwin C. Oh United States
Wei Xiang Germany
Carla V. Finkielstein United States
Amaury Pupo United States
Miroslav Důra Czechia
Gyula P. Szigeti Hungary
Rafał Butowt Poland
Ruiyun Peng China
Sachiko Saito Japan
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Citations per field
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Hédi Soula · 1×
Citations per year

Countries citing papers authored by John Fozard

Since Specialization
Citations

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

Fields of papers citing papers by John Fozard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1984295
2 2008213
3 202186
4 201258
5 200955
6 198953
7 201253
8 201851
9 200347
10 198447
11 201445
12 201337
13 202334
14 201229
15 201528
16 201927
17 201622
18 200321
19 200213
20 201211

About John Fozard

John Fozard is a scholar working on Molecular Biology, Plant Science, Cellular and Molecular Neuroscience, Modeling and Simulation and Physiology, having authored 35 papers that have together received 1.3k indexed citations. Recurring topics across this work include Plant Molecular Biology Research (10 papers), Plant Reproductive Biology (6 papers), Plant nutrient uptake and metabolism (4 papers), Neurotransmitter Receptor Influence on Behavior (3 papers), Mathematical Biology Tumor Growth (3 papers), Adenosine and Purinergic Signaling (3 papers), Polysaccharides and Plant Cell Walls (3 papers) and Light effects on plants (3 papers). The work is most often cited by research in Modeling and Simulation (132 citations), Cell Biology (184 citations), Cellular and Molecular Neuroscience (202 citations), Plant Science (362 citations) and Molecular Biology (593 citations). John Fozard has collaborated with scholars based in United Kingdom, Switzerland and France. Frequent co-authors include Oliver E. Jensen, John R. King, Mark A. J. Chaplain, Alexander R.A. Anderson, Katarzyna A. Rejniak, Martin Howard, Chris Morgan, Malcolm J. Bennett, Leah R. Band and Tony Pridmore. Their work appears in journals such as Journal of The Royal Society Interface, eLife, Naunyn-Schmiedeberg s Archives of Pharmacology, Mathematical Medicine and Biology A Journal of the IMA and Nature Communications.

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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