Daniel Jun

330 papers receiving 7.2k citations

Peers

Daniel Jun
Comparison fields: 5 of 168
  • Pharmacology 3.7k
  • Insect Science 1.2k
  • Plant Science 3.6k
  • Health, Toxicology and Mutagenesis 947
  • Computational Theory and Mathematics 1.1k
Replace Lawrence M. Schopfer with:
Lawrence M. Schopfer United States
Fernanda Borges Portugal
Mohamed F. Alajmi Saudi Arabia
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Ömer İrfan Küfrevioğlu Türkiye
Carlo Bicchi Italy
Shabana I. Khan United States
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Daniel Jun relative to Lawrence M. Schopfer United States Lawrence M. Schopfer's profile →
Citations per field
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Lawrence M. Schopfer · 1×
Citations per year

Countries citing papers authored by Daniel Jun

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Jun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 336 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008278
2 2006201
3 2018152
4 2007132
5 2014132
6 2005124
7 2007124
8 2004119
9 2015118
10 201495
11 200793
12 201693
13 201391
14 200883
15 200880
16 200579
17 201678
18 201971
19 200670
20 201666

About Daniel Jun

Daniel Jun is a scholar working on Pharmacology, Plant Science, Insect Science, Organic Chemistry and Molecular Biology, having authored 336 papers that have together received 7.4k indexed citations. Recurring topics across this work include Cholinesterase and Neurodegenerative Diseases (211 papers), Pesticide Exposure and Toxicity (176 papers), Insect and Pesticide Research (76 papers), Computational Drug Discovery Methods (53 papers), Environmental Toxicology and Ecotoxicology (37 papers), Chemical synthesis and alkaloids (36 papers), Pesticide and Herbicide Environmental Studies (24 papers) and Photosynthetic Processes and Mechanisms (16 papers). The work is most often cited by research in Pharmacology (3.7k citations), Insect Science (1.2k citations), Plant Science (3.6k citations), Health, Toxicology and Mutagenesis (947 citations) and Computational Theory and Mathematics (1.1k citations). Daniel Jun has collaborated with scholars based in Czechia, Serbia and Russia. Frequent co-authors include Kamil Kuča, Kamil Musílek, Ondřej Soukup, Jiří Bajgar, Jan Korábečný, Martina Hrabinová, Miroslav Pohanka, Jiřı́ Kassa, Vlastimil Dohnal and Jiří Patočka. Their work appears in journals such as Journal of Enzyme Inhibition and Medicinal Chemistry, Chemico-Biological Interactions, Molecules, Journal of Applied Biomedicine and Toxicology 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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