John W. Watts

1.9k citations
24 papers · 1.2k indexed · h-index 13

Impact in

Papers in

John W. Watts

24 papers receiving 1.2k citations

Peers

John W. Watts
Comparison fields: 5 of 72
  • Biotechnology 332
  • Endocrinology 155
  • Plant Science 913
  • Horticulture 10
  • Molecular Biology 672
Replace Н.П. Родионова with:
Н.П. Родионова Russia
Mounir G. AbouHaidar Canada
Stanislav V. Kozlovsky Russia
Marc Storms Netherlands
P. Pfeiffer France
Chantal Beauchemin Canada
Lilian Järvekülg Estonia
P. Yot France
I.R. Schneider United States
David Kushner United States
John W. Watts relative to Н.П. Родионова Russia Н.П. Родионова's profile →
Citations per field
00.5×1.5×2.3×
Н.П. Родионова · 1×
Citations per year

Countries citing papers authored by John W. Watts

Since Specialization
Citations

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

Fields of papers citing papers by John W. Watts

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20162
2
High Energy Cosmic Ray Electrons; Scientific Objectives and Perspectives
20091
3 20074
4 20011
5 199812
6
Status of LDEF radiation modeling
19951
7 199340
8 19932
9 1992149
10
Charged particle LET-spectra measurements aboard LDEF
19915
11
Radiation exposure of LDEF: Initial results
199110
12 1989123
13 198940
14 198825
15 198867
16 1987174
17 198743
18 1987342
19 198638
20 198682

About John W. Watts

John W. Watts is a scholar working on Biotechnology, Radiological and Ultrasound Technology, Radiation, Plant Science and Pulmonary and Respiratory Medicine, having authored 24 papers that have together received 1.2k indexed citations. Recurring topics across this work include Plant Virus Research Studies (10 papers), Transgenic Plants and Applications (8 papers), Plant tissue culture and regeneration (7 papers), Radiation Therapy and Dosimetry (6 papers), Radiation Effects in Electronics (4 papers), Bacteriophages and microbial interactions (3 papers), Radiation Detection and Scintillator Technologies (3 papers) and Radioactivity and Radon Measurements (2 papers). The work is most often cited by research in Biotechnology (332 citations), Endocrinology (155 citations), Plant Science (913 citations), Horticulture (10 citations) and Molecular Biology (672 citations). John W. Watts has collaborated with scholars based in United Kingdom and United States. Frequent co-authors include T. M. A. Wilson, David E. Sleat, Philip Turner, Daniel Gallie, David C. Baulcombe, Sean Chapman, Graham Hills, Peter Markham, R. W. Briddon and John Stanley. Their work appears in journals such as Nucleic Acids Research, Virology, Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment, Radiation Measurements and Theoretical and Applied Genetics.

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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