M Zawada

20 papers receiving 302 citations

Peers

M Zawada
Comparison fields: 5 of 60
  • Molecular Biology 131
  • Infectious Diseases 81
  • Plant Science 75
  • Epidemiology 60
  • Organic Chemistry 46
Replace Magali Jaillard with:
Magali Jaillard France
Verònica Alba Spain
Kyungho Jang South Korea
Scott Mahan United States
Shih-Tung Liu Taiwan
Becca A. Flitter United States
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M Zawada relative to Magali Jaillard France Magali Jaillard's profile →
Citations per field
00.5×10×15.3×
Magali Jaillard · 1×
Citations per year

Countries citing papers authored by M Zawada

Since Specialization
Citations

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

Fields of papers citing papers by M Zawada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M Zawada

This figure shows the co-authorship network connecting the top 25 collaborators of M Zawada. A scholar is included among the top collaborators of M Zawada based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with M Zawada. M Zawada is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 1
3 8
4 6
5
Potencjalne czynniki patogenne w stwardnieniu rozsianym (SM) Potential pathogens in multiple sclerosis (MS)
1
6 0
7 10
8 13
9 29
10
The possible participation of MSR virus in etiology of multiple sclerosis
1
11 8
12 1
13 42
14 4
15
Analiza zestawow pseudosegregantow pokolenia F1 mieszanca heterozyjnego zyta [cms PAMPA] wykonana technika AFLP
0
16
[Genetic risk of families with t(1;2)(q42;q33) GTG, RHG, QFQ, FISH].
2
17
Zastosowanie markerow AFLP do badania zmiennosci genetycznej w obrebie form rodzicielskich mieszanca heterozyjnego zyta otrzymanego na bazie cytoplazmy PAMPA
0
18
Wykorzystanie markerow genetycznych typu AFLP do badan zmiennosci genetycznej linii wsobnych zyta
1
19
[Familial complex chromosome translocation of t(1;4;10)(q21.3;q27;q26.1) verified by FISH].
3
20 168

About M Zawada

M Zawada is a scholar working on Immunology, Dermatology and Molecular Medicine, having authored 23 papers that have together received 329 indexed citations. Recurring topics across this work include T-cell and Retrovirus Studies (4 papers), Viral Infections and Immunology Research (4 papers) and Chromosomal and Genetic Variations (4 papers). The work is most often cited by research in Molecular Medicine (42 citations), Applied Microbiology and Biotechnology (9 citations) and Infectious Diseases (81 citations). M Zawada has collaborated with scholars based in Poland, United Kingdom and Switzerland. Frequent co-authors include R. J. McRipley, Andrew Slee, Mark A. Wuonola, Ian Zajac, Walter A. Gregory, Martin Forbes, Jerzy Nowak, Krzysztof Lewandowski, M Wender and Przemysław Mańkowski. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, Journal of Investigative Dermatology and Cytogenetic and Genome 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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