Pavlina Dolashka

1.0k citations
73 papers · 834 indexed · h-index 17

Pavlina Dolashka

72 papers receiving 823 citations

Peers

Pavlina Dolashka
Comparison fields: 5 of 89
  • Immunology 363
  • Aquatic Science 104
  • Microbiology 86
  • Biotechnology 100
  • Cellular and Molecular Neuroscience 130
Replace Pavlina Dolashka-Angelova with:
Pavlina Dolashka-Angelova Bulgaria
Haobin Zhao China
Ingnyol Jin South Korea
Fengsong Liu China
Jiun‐Yan Loh Malaysia
Trevor K. Smith Canada
Arlette Longeon France
Xixiang Tang China
Sagar Chandra Mandal India
Yan Cai China
Pavlina Dolashka relative to Pavlina Dolashka-Angelova Bulgaria Pavlina Dolashka-Angelova's profile →
Citations per field
00.5×6.1×
Pavlina Dolashka-Angelova · 1×
Citations per year

Countries citing papers authored by Pavlina Dolashka

Since Specialization
Citations

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

Fields of papers citing papers by Pavlina Dolashka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20243
3 20244
4 20232
5 20237
6 20233
7 20235
8 20228
9 202211
10 20214
11 201716
12 20157
13
Antiviral activity of hemocyanins
201316
14 20137
15 201111
16 201042
17 20102
18 201022
19 19988
20 199310

About Pavlina Dolashka

Pavlina Dolashka is a scholar working on Microbiology, Immunology and Biotechnology, having authored 73 papers that have together received 834 indexed citations. Recurring topics across this work include Invertebrate Immune Response Mechanisms (25 papers), Aquaculture disease management and microbiota (8 papers), Antimicrobial Peptides and Activities (8 papers), Neurobiology and Insect Physiology Research (7 papers), Protein Interaction Studies and Fluorescence Analysis (7 papers), Hemoglobin structure and function (7 papers), Glycosylation and Glycoproteins Research (5 papers) and Echinoderm biology and ecology (5 papers). The work is most often cited by research in Immunology (363 citations), Aquatic Science (104 citations) and Microbiology (86 citations). Pavlina Dolashka has collaborated with scholars based in Bulgaria, Germany and Italy. Frequent co-authors include Wolfgang Voelter, Lyudmila Velkova, Stefan Stevanović, Nicolay Genov, Aleksandar Dolashki, Jozef Van Beeumen, Stanka Stoeva, Maria Angelova, Bart Devreese and Matthias Floetenmeyer. Their work appears in journals such as Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy, Biomedicines, Molecules, Comparative Biochemistry and Physiology Part B Biochemistry and Molecular Biology and Antiviral Research.

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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