D. Nunn

5.6k citations
106 papers · 4.9k · h-index 38

Impact in

Papers in

    • Ionosphere and magnetosphere dynamics 67
    • Solar and Space Plasma Dynamics 32
    • Lightning and Electromagnetic Phenomena 14
    • Microbial metabolism and enzyme function 10
    • Bacterial biofilms and quorum sensing 9

D. Nunn

103 papers receiving 4.6k citations

Peers

D. Nunn
Comparison fields: 5 of 108
  • Astronomy and Astrophysics 2.3k
  • Geophysics 1.4k
  • Endocrinology 492
  • Molecular Medicine 251
  • Genetics 1.0k
Replace M. Brittnacher with:
M. Brittnacher United States
Mark A. Smith United States
Jürgen Müller Germany
B. F. Burke United States
K. Sakaguchi Japan
Marie‐Christine Maurel France
Marek Gierliński United Kingdom
S. J. K. Symes United States
W. Kündig Switzerland
M. McCarthy United States
D. Nunn relative to M. Brittnacher United States M. Brittnacher's profile →
Citations per field
00.5×1.5×
M. Brittnacher · 1×
Citations per year

Countries citing papers authored by D. Nunn

Since Specialization
Citations

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

Fields of papers citing papers by D. Nunn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 106 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1990316
2 1974280
3 1993229
4 1991223
5 1991208
6 1991158
7 1997145
8 1986134
9 2009132
10 1999122
11 1993117
12 1992115
13 1993113
14 1991109
15 2011105
16 198493
17 198688
18 199880
19 198980
20 200679

About D. Nunn

D. Nunn is a scholar working on Astronomy and Astrophysics, Molecular Biology, Geophysics, Genetics and Aerospace Engineering, having authored 106 papers that have together received 4.9k indexed citations. Recurring topics across this work include Ionosphere and magnetosphere dynamics (67 papers), Solar and Space Plasma Dynamics (32 papers), Earthquake Detection and Analysis (30 papers), Lightning and Electromagnetic Phenomena (14 papers), Bacterial Genetics and Biotechnology (13 papers), Microbial metabolism and enzyme function (10 papers), Magnetic confinement fusion research (10 papers) and Bacterial biofilms and quorum sensing (9 papers). The work is most often cited by research in Astronomy and Astrophysics (2.3k citations), Geophysics (1.4k citations), Endocrinology (492 citations), Molecular Medicine (251 citations) and Genetics (1.0k citations). D. Nunn has collaborated with scholars based in United Kingdom, United States and Russia. Frequent co-authors include Stephen Lory, Yoshiharu Omura, Mary E. Lidstrom, M.J. Rycroft, M S Strom, Simon Bergman, V. Yu. Trakhtengerts, H. Matsumoto, A. G. Demekhov and C. Anthony. Their work appears in journals such as Journal of Geophysical Research Atmospheres, Annales Geophysicae, Journal of Bacteriology, Planetary and Space Science and Geophysical Research Letters.

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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