Jonathan S. Ball

1.1k citations
28 papers · 864 · h-index 15

Impact in

Papers in

    • Zebrafish Biomedical Research Applications 10
    • CRISPR and Genetic Engineering 4
    • Pluripotent Stem Cells Research 2

Jonathan S. Ball

24 papers receiving 854 citations

Peers

Jonathan S. Ball
Comparison fields: 5 of 98
  • Physiology 117
  • Health, Toxicology and Mutagenesis 331
  • Cell Biology 200
  • Pollution 128
  • Aquatic Science 75
Replace Nils Klüver with:
Nils Klüver Germany
Yongfang Jia China
Thiago Estevam Parente Brazil
André Wolterbeek Netherlands
Benjamin Piccini France
Katharine A. Horzmann United States
Fangjie Cao China
Anna Capaldo Italy
Antonio Planchart United States
Sara Zucchi Italy
Jonathan S. Ball relative to Nils Klüver Germany Nils Klüver's profile →
Citations per field
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Nils Klüver · 1×
Citations per year

Countries citing papers authored by Jonathan S. Ball

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan S. Ball

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009148
2 201197
3 200796
4 200972
5 200966
6 201465
7 201858
8 201357
9 201435
10 201734
11 201834
12 201623
13 202018
14 202118
15 200914
16 20227
17 20136
18 20245
19 20133
20 20252

About Jonathan S. Ball

Jonathan S. Ball is a scholar working on Cell Biology, Molecular Biology, Health, Toxicology and Mutagenesis, Small Animals and Pollution, having authored 28 papers that have together received 864 indexed citations. Recurring topics across this work include Zebrafish Biomedical Research Applications (10 papers), Environmental Toxicology and Ecotoxicology (5 papers), Animal testing and alternatives (4 papers), CRISPR and Genetic Engineering (4 papers), Pharmacogenetics and Drug Metabolism (3 papers), Effects and risks of endocrine disrupting chemicals (3 papers), Pluripotent Stem Cells Research (2 papers) and Drug Transport and Resistance Mechanisms (2 papers). The work is most often cited by research in Physiology (117 citations), Health, Toxicology and Mutagenesis (331 citations), Cell Biology (200 citations), Pollution (128 citations) and Aquatic Science (75 citations). Jonathan S. Ball has collaborated with scholars based in United Kingdom, United States and Sweden. Frequent co-authors include Charles R. Tyler, Malcolm J. Hetheridge, Ioanna Katsiadaki, Eduarda M. Santos, Tim Williams, Mark R. Viant, James Kevin Chipman, Huifeng Wu, Fernando Ortega and Francesco Falciani. Their work appears in journals such as Reproductive Toxicology, Environmental Science & Technology, Aquatic Toxicology, The Science of The Total Environment and eLife.

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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