Dmitry Grapov

44 papers receiving 2.0k citations

Peers

Dmitry Grapov
Comparison fields: 5 of 136
  • Biological Psychiatry 63
  • Biochemistry 134
  • Nutrition and Dietetics 250
  • Molecular Biology 1.1k
  • Cancer Research 218
Replace Peddinti Gopalacharyulu with:
Peddinti Gopalacharyulu Finland
Stewart F. Graham United States
Kévin Contrepois United States
Kevin Huynh Australia
Yoshihisa Tomioka Japan
Daisuke Saigusa Japan
Suzan Wopereis Netherlands
Michał Ciborowski Poland
Elisabeth Altmaier Germany
Evan G. Williams Switzerland
Dmitry Grapov relative to Peddinti Gopalacharyulu Finland Peddinti Gopalacharyulu's profile →
Citations per field
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Peddinti Gopalacharyulu · 1×
Citations per year

Countries citing papers authored by Dmitry Grapov

Since Specialization
Citations

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

Fields of papers citing papers by Dmitry Grapov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018148
2 2012118
3 2015109
4 2020106
5 201594
6 201488
7 201585
8 201484
9 201580
10 201374
11 201768
12 201661
13 201658
14 201758
15 201649
16 201545
17 201545
18 201644
19 201841
20 201436

About Dmitry Grapov

Dmitry Grapov is a scholar working on Molecular Biology, Physiology, Genetics, Nutrition and Dietetics and Plant Science, having authored 44 papers that have together received 2.0k indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (17 papers), Diet and metabolism studies (6 papers), Adipose Tissue and Metabolism (5 papers), Computational Drug Discovery Methods (4 papers), Cancer, Hypoxia, and Metabolism (4 papers), Bioinformatics and Genomic Networks (4 papers), Cancer, Lipids, and Metabolism (3 papers) and Fatty Acid Research and Health (3 papers). The work is most often cited by research in Biological Psychiatry (63 citations), Biochemistry (134 citations), Nutrition and Dietetics (250 citations), Molecular Biology (1.1k citations) and Cancer Research (218 citations). Dmitry Grapov has collaborated with scholars based in United States, Saudi Arabia and Italy. Frequent co-authors include Johannes F. Fahrmann, Kwanjeera Wanichthanarak, Oliver Fiehn, John W. Newman, Sakda Khoomrung, Theresa L. Pedersen, Sean H. Adams, W. Timothy Garvey, Harvey I. Pass and Brett S. Phinney. Their work appears in journals such as PLoS ONE, Metabolomics, Journal of Proteome Research, Bioinformatics and Journal of Nutrition.

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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