J J Dunn

4.2k citations
51 papers · 3.6k indexed · 2 hit papers · h-index 26

J J Dunn

51 papers receiving 3.4k citations

Hit Papers

ompT encodes the Escherichia coli outer membrane protease...6031984202619982012200400600

Peers

J J Dunn
Comparison fields: 5 of 130
  • Parasitology 316
  • Genetics 932
  • Molecular Biology 2.2k
  • Infectious Diseases 524
  • Endocrinology 135
Replace Jean‐Pierre Lecocq with:
Jean‐Pierre Lecocq France
J Chou United States
Herman W. Favoreel Belgium
Mark Suter Switzerland
Jean‐Luc Guesdon France
Karla Kirkegaard United States
David W. Taylor United States
Roy Duncan Canada
J.E. Butler United States
Jeffry J. Leary United States
J J Dunn relative to Jean‐Pierre Lecocq France Jean‐Pierre Lecocq's profile →
Citations per field
00.5×1.5×2.4×
Jean‐Pierre Lecocq · 1×
Citations per year

Countries citing papers authored by J J Dunn

Since Specialization
Citations

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

Fields of papers citing papers by J J Dunn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20241
3 2007185
4 200560
5 2004197
6 200420
7 20017
8
[Cardiac manifestations of Lyme borreliosis with special reference to contractile dysfunction].
19982
9 199514
10 199455
11 199321
12 1993140
13 19926
14 19904
15 198711
16 198216
17 198145
18 198130
19 19808
20 197826

About J J Dunn

J J Dunn is a scholar working on Parasitology, Genetics and Conservation, having authored 51 papers that have together received 3.6k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (15 papers), Bacteriophages and microbial interactions (13 papers), Bacterial Genetics and Biotechnology (12 papers), Vector-borne infectious diseases (9 papers), Mycotoxins in Agriculture and Food (7 papers), Virus-based gene therapy research (5 papers), Viral Infections and Immunology Research (5 papers) and Viral Infections and Vectors (4 papers). The work is most often cited by research in Parasitology (316 citations), Genetics (932 citations) and Molecular Biology (2.2k citations). J J Dunn has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include F. William Studier, Jennifer Grodberg, Alan H. Rosenberg, Eckard Wimmer, Sylvie van der Werf, Jonathan Bradley, Benjamin J. Luft, Benjamin M. Wu, Weiwei Huang and Talia Miller. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Bacteriology, Solid State Ionics, Journal of Biological Chemistry and Infection and Immunity.

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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