Jonathan J. Du

35 papers receiving 434 citations

Peers

Jonathan J. Du
Comparison fields: 5 of 99
  • Physical and Theoretical Chemistry 103
  • Organic Chemistry 105
  • Computational Theory and Mathematics 54
  • Radiology, Nuclear Medicine and Imaging 64
  • Immunology 58
Replace Susanne von Grafenstein with:
Susanne von Grafenstein Austria
Sheeba Varghese Gupta United States
Thomas Gaillard France
Yuno Lee South Korea
Slavko Pečar Slovenia
Milan Senćanski Serbia
Babu Sudhamalla India
Aleksei Kabedev Sweden
J.A. Hernandez Prada United States
Michał Nowakowski Poland
Jonathan J. Du relative to Susanne von Grafenstein Austria Susanne von Grafenstein's profile →
Citations per field
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Susanne von Grafenstein · 1×
Citations per year

Countries citing papers authored by Jonathan J. Du

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan J. Du

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2022122
2 202033
3 201823
4 201920
5 201619
6 202317
7 201616
8 201915
9 202314
10 202214
11 201514
12 202213
13 202212
14 202111
15 202211
16 201811
17 20219
18 20218
19 20238
20 20208

About Jonathan J. Du

Jonathan J. Du is a scholar working on Molecular Biology, Physical and Theoretical Chemistry, Organic Chemistry, Radiology, Nuclear Medicine and Imaging and Immunology, having authored 38 papers that have together received 443 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (11 papers), Crystallography and molecular interactions (10 papers), Monoclonal and Polyclonal Antibodies Research (8 papers), Crystallization and Solubility Studies (6 papers), Galectins and Cancer Biology (5 papers), Carbohydrate Chemistry and Synthesis (5 papers), Chemical Thermodynamics and Molecular Structure (3 papers) and Free Radicals and Antioxidants (3 papers). The work is most often cited by research in Physical and Theoretical Chemistry (103 citations), Organic Chemistry (105 citations), Computational Theory and Mathematics (54 citations), Radiology, Nuclear Medicine and Imaging (64 citations) and Immunology (58 citations). Jonathan J. Du has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include David E. Hibbs, Paul W. Groundwater, Felcia Lai, Bryson A. Hawkins, Yiqun Chang, Eric J. Sundberg, James A. Platts, Marcelo E. Guerin, Beatriz Trastoy and Erik H. Klontz. Their work appears in journals such as Nature Communications, Physical Chemistry Chemical Physics, Crystal Growth & Design, RSC Advances and RSC Medicinal Chemistry.

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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