Jonathan D. Dinman

9.1k citations
130 papers · 6.3k · h-index 50

Impact in

Papers in

Jonathan D. Dinman

130 papers receiving 6.3k citations

Peers

Jonathan D. Dinman
Comparison fields: 5 of 112
  • Structural Biology 115
  • Molecular Biology 5.1k
  • Endocrinology 282
  • Cardiology and Cardiovascular Medicine 934
  • Infectious Diseases 516
Replace Jeffrey S. Kieft with:
Jeffrey S. Kieft United States
Claude Antony Germany
Kaihong Zhou United States
Otto Berninghausen Germany
Ming Luo United States
Tatyana V. Pestova United States
Ethan C. Garner United States
David H. Mathews United States
Virginijus Šikšnys Lithuania
Alain Roussel France
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Citations per field
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Citations per year

Countries citing papers authored by Jonathan D. Dinman

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan D. Dinman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 130 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1991277
2 2011257
3 1992182
4 2014170
5 2012162
6 2018158
7 2020152
8 2005136
9 2003135
10 2003122
11 2014121
12 2007106
13 2012102
14 2010101
15 199998
16 200087
17 200286
18 201686
19 200882
20 199777

About Jonathan D. Dinman

Jonathan D. Dinman is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Plant Science, Genetics and Immunology, having authored 130 papers that have together received 6.3k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (99 papers), RNA modifications and cancer (56 papers), RNA Research and Splicing (30 papers), Viral Infections and Immunology Research (27 papers), Plant Virus Research Studies (19 papers), Bacterial Genetics and Biotechnology (10 papers), Plant and Fungal Interactions Research (9 papers) and Toxin Mechanisms and Immunotoxins (9 papers). The work is most often cited by research in Structural Biology (115 citations), Molecular Biology (5.1k citations), Endocrinology (282 citations), Cardiology and Cardiovascular Medicine (934 citations) and Infectious Diseases (516 citations). Jonathan D. Dinman has collaborated with scholars based in United States, Lithuania and Russia. Frequent co-authors include Arturas Meškauskas, Reed B. Wickner, Jason W. Harger, Stuart W. Peltz, Ewan P. Plant, Alexey Petrov, Rasa Rakauskaitė, T Icho, Ashton T. Belew and Jonathan L. Jacobs. Their work appears in journals such as Nucleic Acids Research, RNA, Molecular and Cellular Biology, Proceedings of the National Academy of Sciences and Journal of Virology.

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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