V. A. Gurevich

429 citations
14 papers · 341 indexed · h-index 7

V. A. Gurevich

13 papers receiving 329 citations

Peers

V. A. Gurevich
Comparison fields: 5 of 75
  • Microbiology 106
  • Immunology 76
  • Animal Science and Zoology 25
  • Molecular Biology 142
  • Transplantation 5
Replace Yashwanth Radhakrishnan with:
Yashwanth Radhakrishnan United States
J. Clark United States
P. Montanari Italy
Chao Luan China
Ding Cao China
Y Shimokawa Japan
Man Yee Chan China
Shoko Kido Japan
Aikun Wang Canada
Laetitia Charrier‐Hisamuddin United States
V. A. Gurevich relative to Yashwanth Radhakrishnan United States Yashwanth Radhakrishnan's profile →
Citations per field
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Yashwanth Radhakrishnan · 1×
Citations per year

Countries citing papers authored by V. A. Gurevich

Since Specialization
Citations

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

Fields of papers citing papers by V. A. Gurevich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 16 scholars most cited alongside V. A. Gurevich, 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. A. Gurevich Line = papers co-authored together V. A. Gurevich links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 20174
2 20114
3 20082
4 20062
5 199951
6 199844
7 199779
8 1996114
9
Identification of Mycoplasma synoviae immunogenic surface proteins and their potential use as antigens in the enzyme-linked immunosorbent assay.
199617
10 199513
11 19912
12 19910
13 19892
14 19887

About V. A. Gurevich

V. A. Gurevich is a scholar working on Microbiology, Statistics and Probability and Parasitology, having authored 14 papers that have together received 341 indexed citations. Recurring topics across this work include Microbial infections and disease research (3 papers), Aquaculture disease management and microbiota (3 papers), Bacteriophages and microbial interactions (2 papers), Nitric Oxide and Endothelin Effects (2 papers), Advanced Statistical Methods and Models (2 papers), Protein purification and stability (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Microbiology (106 citations), Immunology (76 citations) and Animal Science and Zoology (25 citations). V. A. Gurevich has collaborated with scholars based in Australia, Qatar and Russia. Frequent co-authors include James E. Hagstrom, Vladimir G. Budker, Jon A. Wolff, Gregory J. Dusting, Ian D. Walker, David H. Ley, Kevin G. Whithear, P. F. Markham, Glenn F. Browning and Paul Fennessy. Their work appears in journals such as Biologicals, Clinical and Experimental Pharmacology and Physiology, Infection and Immunity, Avian Diseases and British Journal of Pharmacology.

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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