Dmitry Kuklev

721 citations
24 papers · 629 · h-index 13

Impact in

    • Eicosanoids and Hypertension Pharmacology
    • Inflammatory mediators and NSAID effects
    • Cannabis and Cannabinoid Research

Papers in

    • Eicosanoids and Hypertension Pharmacology 9
    • Lipid metabolism and biosynthesis 4
    • Inflammatory mediators and NSAID effects 6
    • Cannabis and Cannabinoid Research 2

Dmitry Kuklev

22 papers receiving 595 citations

Peers

Dmitry Kuklev
Comparison fields: 5 of 91
  • Biochemistry 123
  • Pharmacology 240
  • Toxicology 22
  • Nutrition and Dietetics 98
  • Organic Chemistry 159
Replace Monika Anton with:
Monika Anton Germany
Katrin Fischer Germany
Violetta Constantinou‐Kokotou Greece
Lawrence J. Marnett United States
Takeshi Nishii Japan
Hartmut Kühn Germany
Yasuyo Yamazaki Japan
Christiana D. Ingram United States
Matthieu Willot Germany
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Citations per field
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Citations per year

Countries citing papers authored by Dmitry Kuklev

Since Specialization
Citations

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

Fields of papers citing papers by Dmitry Kuklev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009114
2 201390
3 200171
4 201561
5 201253
6 200446
7 201028
8 199728
9 201423
10 199117
11 200317
12 201416
13 199214
14 200412
15 20069
16 20138
17 20047
18 19917
19
Antitumor Acetylenic Lipids
20164
20 20172

About Dmitry Kuklev

Dmitry Kuklev is a scholar working on Biochemistry, Pharmacology, Organic Chemistry, Molecular Biology and Nutrition and Dietetics, having authored 24 papers that have together received 629 indexed citations. Recurring topics across this work include Eicosanoids and Hypertension Pharmacology (9 papers), Inflammatory mediators and NSAID effects (6 papers), Fatty Acid Research and Health (4 papers), Lipid metabolism and biosynthesis (4 papers), Analytical Chemistry and Chromatography (4 papers), Free Radicals and Antioxidants (3 papers), Organic Chemistry Cycloaddition Reactions (2 papers) and Cannabis and Cannabinoid Research (2 papers). The work is most often cited by research in Biochemistry (123 citations), Pharmacology (240 citations), Toxicology (22 citations), Nutrition and Dietetics (98 citations) and Organic Chemistry (159 citations). Dmitry Kuklev has collaborated with scholars based in United States, Russia and France. Frequent co-authors include William L. Smith, Valery M. Dembitsky, Chong Yuan, Abraham J. Domb, Ranjinder S. Sidhu, Yu Hong, Liang Dong, In‐Seok Song, Yuji Kado and M. Wada. Their work appears in journals such as Chemistry and Physics of Lipids, Journal of Lipid Research, Journal of Biological Chemistry, Bioorganic & Medicinal Chemistry Letters and Phytochemistry.

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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