Dmitriy Minond

2.0k citations
53 papers · 1.7k · h-index 23

Impact in

Papers in

    • Glycosylation and Glycoproteins Research 4
    • RNA Interference and Gene Delivery 4
    • Peptidase Inhibition and Analysis 20
    • HER2/EGFR in Cancer Research 6

Dmitriy Minond

52 papers receiving 1.7k citations

Peers

Dmitriy Minond
Comparison fields: 5 of 125
  • Cancer Research 407
  • Immunology and Allergy 165
  • Oncology 497
  • Cell Biology 189
  • Molecular Biology 776
Replace Nozomi Yamaguchi with:
Nozomi Yamaguchi Japan
Cathy Staedel France
Marko Fonovič Slovenia
Christine Unger Austria
Matej Vizovišek Slovenia
Gabriella Pagnan Italy
C. Chandra Kumar United States
Mindaugas Valius Lithuania
Takaki Koide Japan
Dmitriy Minond relative to Nozomi Yamaguchi Japan Nozomi Yamaguchi's profile →
Citations per field
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Citations per year

Countries citing papers authored by Dmitriy Minond

Since Specialization
Citations

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

Fields of papers citing papers by Dmitriy Minond

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011267
2 2016164
3 2017125
4 200684
5 201076
6 200975
7 200465
8 201251
9 200450
10 200850
11 201346
12 201344
13 200943
14 200842
15 200742
16 201337
17 201436
18 201533
19 201427
20 201127

About Dmitriy Minond

Dmitriy Minond is a scholar working on Molecular Biology, Oncology, Cancer Research, Immunology and Allergy and Organic Chemistry, having authored 53 papers that have together received 1.7k indexed citations. Recurring topics across this work include Peptidase Inhibition and Analysis (20 papers), Protease and Inhibitor Mechanisms (13 papers), Cell Adhesion Molecules Research (10 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), HER2/EGFR in Cancer Research (6 papers), Glycosylation and Glycoproteins Research (4 papers), RNA Interference and Gene Delivery (4 papers) and Alzheimer's disease research and treatments (4 papers). The work is most often cited by research in Cancer Research (407 citations), Immunology and Allergy (165 citations), Oncology (497 citations), Cell Biology (189 citations) and Molecular Biology (776 citations). Dmitriy Minond has collaborated with scholars based in United States, Germany and Australia. Frequent co-authors include Gregg B. Fields, Marcia L. Moss, Janelle L. Lauer‐Fields, Mare Čudić, Peter Hodder, Timothy Spicer, Peter Chase, Hideaki Nagase, Marc A. Giulianotti and Louis Scampavia. Their work appears in journals such as Journal of Biological Chemistry, Analytical Biochemistry, Journal of Medicinal Chemistry, Bioorganic & Medicinal Chemistry and Pharmaceuticals.

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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