Agata Czyż

1.5k citations
40 papers · 1.2k indexed · h-index 23
Topics
Bacterial Genetics and Biotechnology (18 papers)Bacteriophages and microbial interactions (14 papers)bioluminescence and chemiluminescence research (6 papers)
Journals
Nucleic Acids ResearchNature CommunicationsSHILAP Revista de lepidopterología

In The Last Decade

Agata Czyż

39 papers receiving 1.1k citations

Peers

Agata Czyż
Comparison fields: 5 of 100
  • Molecular Biology 733
  • Ecology 324
  • Genetics 294
  • Biomedical Engineering 140
  • Infectious Diseases 126
Replace Ananda M. Chakrabarty with:
Ananda M. Chakrabarty United States
G. B. Zavilgelsky Russia
Antonio R. Fernández de Henestrosa Spain
Ming‐Ren Yen Taiwan
Jiandong Chen United States
И. В. Манухов Russia
V Horn United States
Daniel L. Milligan United States
M. Oke United Kingdom
Montserrat Elías‐Arnanz Spain
Agata Czyż relative to Ananda M. Chakrabarty United States Ananda M. Chakrabarty's profile →
Citations per field
00.5×5.3×
Ananda M. Chakrabarty · 1×
Citations per year

Countries citing papers authored by Agata Czyż

Since Specialization
Citations

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

Fields of papers citing papers by Agata Czyż

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Agata Czyż

This figure shows the co-authorship network connecting the top 25 collaborators of Agata Czyż. A scholar is included among the top collaborators of Agata Czyż 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 Agata Czyż. Agata Czyż 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 37
2 23
3 24
4 18
5 58
6 74
7 28
8 27
9 13
10 45
11 39
12 46
13 32
14 35
15 21
16 8
17 28
18 2
19 52
20 21

About Agata Czyż

Agata Czyż is a scholar working on Endocrinology, Pharmaceutical Science and Genetics, having authored 40 papers that have together received 1.2k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (18 papers), Bacteriophages and microbial interactions (14 papers) and bioluminescence and chemiluminescence research (6 papers). The work is most often cited by research in Endocrinology (119 citations), Ecology (324 citations) and Molecular Biology (733 citations). Agata Czyż has collaborated with scholars based in Poland, United States and United Kingdom. Frequent co-authors include Grzegorz Węgrzyn, Borys Wróbel, Robert Landick, Marcin Łoś, Monika Słomińska-Wojewódzka, Alicja Węgrzyn, Grażyna Konopa, Konrad Plata, Rafał Dutkiewicz and Peter Neubauer. Their work appears in journals such as Nucleic Acids Research, Nature Communications and SHILAP Revista de lepidopterología.

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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