J. W. Watts

4.6k total citations · 1 hit paper
70 papers, 2.3k citations indexed

About

J. W. Watts is a scholar working on Pulmonary and Respiratory Medicine, Plant Science and Astronomy and Astrophysics. According to data from OpenAlex, J. W. Watts has authored 70 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Pulmonary and Respiratory Medicine, 23 papers in Plant Science and 15 papers in Astronomy and Astrophysics. Recurrent topics in J. W. Watts's work include Radiation Therapy and Dosimetry (23 papers), Plant Virus Research Studies (16 papers) and Legume Nitrogen Fixing Symbiosis (13 papers). J. W. Watts is often cited by papers focused on Radiation Therapy and Dosimetry (23 papers), Plant Virus Research Studies (16 papers) and Legume Nitrogen Fixing Symbiosis (13 papers). J. W. Watts collaborates with scholars based in United States, United Kingdom and Russia. J. W. Watts's co-authors include John Stanley, John H. Doonan, F. Motoyoshi, David J. Rawlins, Clive Lloyd, Jan Traas, Peter Shaw, J.B. Bancroft, J. H. Adams and M. J. Christl and has published in prestigious journals such as Nature, Physical Review Letters and Journal of Geophysical Research Atmospheres.

In The Last Decade

J. W. Watts

64 papers receiving 2.1k citations

Hit Papers

An excess of cosmic ray electrons at energies of 300–800 GeV 2008 2026 2014 2020 2008 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
J. W. Watts United States 20 762 731 668 534 262 70 2.3k
K. Sakaguchi Japan 23 315 0.4× 304 0.4× 838 1.3× 877 1.6× 173 0.7× 58 2.2k
Tanya Renner United States 22 368 0.5× 662 0.9× 90 0.1× 275 0.5× 236 0.9× 69 1.7k
P. S. Cooper United States 19 198 0.3× 638 0.9× 91 0.1× 855 1.6× 66 0.3× 51 2.1k
M. E. Austin United States 39 282 0.4× 4.0k 5.5× 2.5k 3.8× 120 0.2× 396 1.5× 257 4.7k
D. Nunn United Kingdom 37 250 0.3× 281 0.4× 2.1k 3.2× 2.1k 3.8× 132 0.5× 98 4.5k
Y. Matsuda Japan 25 534 0.7× 397 0.5× 68 0.1× 256 0.5× 824 3.1× 167 2.4k
Yasuhiro Yamaguchi Japan 28 136 0.2× 715 1.0× 20 0.0× 202 0.4× 435 1.7× 125 2.2k
Won Hwang South Korea 16 193 0.3× 81 0.1× 55 0.1× 306 0.6× 637 2.4× 34 1.6k
H. A. Scott United States 25 447 0.6× 1.2k 1.6× 156 0.2× 200 0.4× 802 3.1× 158 2.4k
J. L. Fowler United States 22 334 0.4× 414 0.6× 19 0.0× 138 0.3× 229 0.9× 67 1.3k

Countries citing papers authored by J. W. Watts

Since Specialization
Citations

This map shows the geographic impact of J. 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 J. 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 J. W. Watts more than expected).

Fields of papers citing papers by J. W. Watts

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. W. Watts

This figure shows the co-authorship network connecting the top 25 collaborators of J. W. Watts. A scholar is included among the top collaborators of J. W. Watts based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with J. W. Watts. J. W. Watts is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Randall, Marcus E., et al.. (2012). A Fully Automated Method to Create Monte-Carlo MOSFET Model Libraries for Statistical Circuit Simulations. TechConnect Briefs. 2(2012). 826–828. 1 indexed citations
2.
Панов, А. Д., James H. Adams, H. S. Ahn, et al.. (2011). Fine structure in the cosmic ray electron spectrum measured by the ATIC-2 and ATIC-4 experiments. Bulletin of the Russian Academy of Sciences Physics. 75(3). 319–322. 3 indexed citations
3.
Sierawski, Brian D., Marcus H. Mendenhall, Robert A. Weller, et al.. (2010). CRÈME-MC: A physics-based single event effects tool. 15 indexed citations
4.
Зацепин, В. И., А. Д. Панов, N. V. Sokolskaya, et al.. (2009). Energy dependence of Ti/Fe ratio in the Galactic cosmic rays measured by the ATIC-2 experiment. Astronomy Letters. 35(5). 338–342. 11 indexed citations
5.
Chang, J., J. H. Adams, H. S. Ahn, et al.. (2008). An excess of cosmic ray electrons at energies of 300–800 GeV. Nature. 456(7220). 362–365. 616 indexed citations breakdown →
6.
Armstrong, T. W., et al.. (1994). Comparison of model predictions with LDEF satellite radiation measurements. Advances in Space Research. 14(10). 17–20. 15 indexed citations
7.
Ковалев, Е. Е., E. V. Benton, A.L. Frank, et al.. (1992). Cosmic ray LET spectra and doses on board Cosmos-2044 biosatellite. International Journal of Radiation Applications and Instrumentation Part D Nuclear Tracks and Radiation Measurements. 20(1). 149–155. 4 indexed citations
8.
Benton, E. V., et al.. (1992). Experimental and calculated LET distributions in the Cosmos-2044 biosatellite orbit. International Journal of Radiation Applications and Instrumentation Part D Nuclear Tracks and Radiation Measurements. 20(1). 143–147. 9 indexed citations
9.
Armstrong, T. W., et al.. (1991). Ionizing radiation calculations and comparisons with LDEF data. NASA Technical Reports Server (NASA). 3134. 347–359. 7 indexed citations
10.
Saunders, Keith, et al.. (1991). Mutational analysis of complementary-sense genes of African cassava mosaic virus DNA A. Journal of General Virology. 72(5). 1005–1012. 104 indexed citations
11.
Watts, J. W., et al.. (1989). Size Reversion of African Cassava Mosaic Virus Coat Protein Gene Deletion Mutants during Infection of Nicotiana benthamiana. Journal of General Virology. 70(2). 277–289. 94 indexed citations
12.
Watts, J. W., T. A. Parnell, & H. H. Heckman. (1989). Approximate angular distribution and spectra for geomagnetically trapped protons in low-Earth orbit. AIP conference proceedings. 186. 75–85. 41 indexed citations
13.
Hills, G. J., Kitty A. Plaskitt, Nevin D. Young, et al.. (1987). Immunogold localization of the intracellular sites of structural and nonstructural tobacco mosaic virus proteins. Virology. 161(2). 488–496. 73 indexed citations
14.
Watts, J. W., et al.. (1987). Inoculation of protoplasts with viruses by electroporation. Virology. 157(1). 40–46. 20 indexed citations
15.
Parnell, T. A., J. W. Watts, G. J. Fishman, et al.. (1986). The measured radiation environment within Spacelabs 1 and 2 and comparison with predictions. Advances in Space Research. 6(12). 125–134. 8 indexed citations
16.
Watts, J. W. & J. R. O. Dawson. (1980). Double infection of tobacco protoplasts with brome mosaic virus and cowpea chlorotic mottle virus. Virology. 105(2). 501–507. 12 indexed citations
17.
Watts, J. W. & John Wright. (1976). Charged particle radiation environment for the Spacelab and other missions in low earth orbit, revision A. NASA STI Repository (National Aeronautics and Space Administration). 77. 16979. 3 indexed citations
18.
Watts, J. W. & John Wright. (1975). Charged particle radiation environment for the spacelab and other missions in low earth orbit. 50(1311). 549–550. 1 indexed citations
19.
Watts, J. W., et al.. (1973). The use of antibiotics in the culture of non-sterile plant protoplasts. Planta. 113(3). 271–277. 26 indexed citations
20.
Watts, J. W., et al.. (1967). PLANE ISOTROPIC BUILDUP FACTORS FOR BREMSSTRAHLUNG CALCULATIONS.. NASA Technical Reports Server (NASA). 1 indexed citations

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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