V. E. Piskarev

1.5k citations
41 papers · 1.3k · h-index 13

Impact in

Papers in

V. E. Piskarev

39 papers receiving 1.3k citations

Peers

V. E. Piskarev
Comparison fields: 5 of 72
  • Epidemiology 604
  • Agronomy and Crop Science 185
  • Nutrition and Dietetics 200
  • Infectious Diseases 191
  • Molecular Biology 671
Replace Akiko Makino with:
Akiko Makino Japan
Gareth D. Westrop United Kingdom
Hiroaki Hiramatsu Japan
M. Bélisle Canada
Herbert A. Blough United States
Vithiagaran Gunalan Singapore
James M. Groarke United States
Wenjun Song China
Monique Moreau France
L. J. N. Ross United States
V. E. Piskarev relative to Akiko Makino Japan Akiko Makino's profile →
Citations per field
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Akiko Makino · 1×
Citations per year

Countries citing papers authored by V. E. Piskarev

Since Specialization
Citations

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

Fields of papers citing papers by V. E. Piskarev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by V. E. Piskarev. 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 V. E. Piskarev. The network helps show where V. E. Piskarev may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997349
2 1997236
3 2001194
4 2002117
5 201366
6 198947
7 200445
8 199542
9 200439
10 200634
11 201114
12 199013
13 198813
14 200212
15 201212
16 199011
17 20178
18 20148
19
[Structure of carbohydrate chains of the riboflavin-binding glycoprotein of chicken egg protein. II. 1H-NMR (500 MHz) spectroscopy of the major neutral oligosaccharides].
19896
20 20215

About V. E. Piskarev

V. E. Piskarev is a scholar working on Molecular Biology, Organic Chemistry, Nutrition and Dietetics, Immunology and Radiology, Nuclear Medicine and Imaging, having authored 41 papers that have together received 1.3k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (28 papers), Carbohydrate Chemistry and Synthesis (16 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), Infant Nutrition and Health (5 papers), Galectins and Cancer Biology (3 papers), Polysaccharides and Plant Cell Walls (3 papers), Influenza Virus Research Studies (3 papers) and Mass Spectrometry Techniques and Applications (3 papers). The work is most often cited by research in Epidemiology (604 citations), Agronomy and Crop Science (185 citations), Nutrition and Dietetics (200 citations), Infectious Diseases (191 citations) and Molecular Biology (671 citations). V. E. Piskarev has collaborated with scholars based in Russia, United Kingdom and United States. Frequent co-authors include Wengang Chai, Alexander Lawson, Mikhail Matrosovich, James S. Robertson, L'vov Dk, S. S. Yamnikova, K.‐A. Karlsson, Susann Teneberg, A. S. Gambaryan and Alexander Tuzikov. Their work appears in journals such as Glycobiology, Biochemical Journal, Virology, Analytical Chemistry and Carbohydrate Polymers.

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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