M. Studnicka

425 citations
18 papers · 351 indexed · h-index 9

M. Studnicka

18 papers receiving 322 citations

Peers

M. Studnicka
Comparison fields: 5 of 57
  • Aquatic Science 176
  • Immunology 256
  • Physiology 23
  • Health, Toxicology and Mutagenesis 63
  • Animal Science and Zoology 28
Replace Eijiro Kawahara with:
Eijiro Kawahara Japan
Jaqueline Dalbello Biller Brazil
Geovana Dotta Brazil
Aranya Ponpornpisit Thailand
Asish Kumar Panigrahi India
Min-Do Huh South Korea
Renilde Cordeiro de Souza Brazil
Márcia Valéria Silva do Couto Brazil
Himadri Saha India
Zhongzhen Li China
M. Studnicka relative to Eijiro Kawahara Japan Eijiro Kawahara's profile →
Citations per field
00.5×2.8×
Eijiro Kawahara · 1×
Citations per year

Countries citing papers authored by M. Studnicka

Since Specialization
Citations

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

Fields of papers citing papers by M. Studnicka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 13 scholars most cited alongside M. Studnicka, 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 M. Studnicka Line = papers co-authored together M. Studnicka links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 200422
2
In vitro and in vivo studies on the effect of selected pesticides on the number of antibody secreting cells [ASC] and specific immune response in carp [Cyprinus carpio L.]
20021
3
Immunomodulating effect of dimerized lysozyme [KLP-602] on cellular and humoral defence mechanisms in fish after suppression induced by selected pesticides
20004
4 200030
5 20003
6 199815
7 199820
8 199817
9 199860
10 199423
11
The immune system of fish
19934
12 199041
13 198798
14 19831
15 19812
16 19811
17 19743
18
Internal parasites of the cod, Gadus callarias L., from the Gdansk Bay of the Baltic Sea.
19656

About M. Studnicka

M. Studnicka is a scholar working on Aquatic Science, Immunology and Microbiology, having authored 18 papers that have together received 351 indexed citations. Recurring topics across this work include Aquaculture disease management and microbiota (12 papers), Aquaculture Nutrition and Growth (8 papers), Invertebrate Immune Response Mechanisms (3 papers), Meat and Animal Product Quality (2 papers), Microbial infections and disease research (2 papers), Environmental Toxicology and Ecotoxicology (2 papers), Physiological and biochemical adaptations (1 paper) and Calpain Protease Function and Regulation (1 paper). The work is most often cited by research in Aquatic Science (176 citations), Immunology (256 citations) and Physiology (23 citations). M. Studnicka has collaborated with scholars based in Poland, United States and France. Frequent co-authors include Andrzej K. Siwicki, M. Morand, Anna Rymuszka, E. Terech-Majewska, Anna Sierosławska, Adam Bownik, Steven Nissen, Piotr Ostaszewski, John C. Fuller and Muriel Dunier. Their work appears in journals such as Ecotoxicology and Environmental Safety, Veterinary Immunology and Immunopathology, Marine Environmental Research, Aquaculture and Journal of Fish Biology.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026