Agata Zieba

1.2k total citations
22 papers, 922 citations indexed

About

Agata Zieba is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Cancer Research. According to data from OpenAlex, Agata Zieba has authored 22 papers receiving a total of 922 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 6 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Cancer Research. Recurrent topics in Agata Zieba's work include Monoclonal and Polyclonal Antibodies Research (6 papers), TGF-β signaling in diseases (5 papers) and Advanced Biosensing Techniques and Applications (5 papers). Agata Zieba is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (6 papers), TGF-β signaling in diseases (5 papers) and Advanced Biosensing Techniques and Applications (5 papers). Agata Zieba collaborates with scholars based in Sweden, Germany and Netherlands. Agata Zieba's co-authors include Ola Söderberg, Ulf Landegren, Karin Grannas, Carl-Magnus Clausson, Peter Lönn, Andries Blokzijl, Linda Arngården, Magdalena Mazurkiewicz, Anna Asplund and Nuša Pristovšek and has published in prestigious journals such as Nature Communications, Journal of Neuroscience and PLoS ONE.

In The Last Decade

Agata Zieba

22 papers receiving 913 citations

Peers

Agata Zieba
Comparison fields: 5 of 92
  • Molecular Biology 520
  • Cell Biology 210
  • Oncology 192
  • Genetics 137
  • Cancer Research 116
Replace Satoru Sasagawa with:
Satoru Sasagawa Japan
Michael E. Feigin United States
Liang Weng China
Satoko Ito Japan
Sharmila Patel United States
Grant C. Sellar United Kingdom
Andreas Herrlich United States
Tadahiro Nagaoka United States
Amy E. Birsner United States
Jun-Lin Guan United States
Satoru Sasagawa Japan View profile →
Citations per field, relative to Agata Zieba
Agata Zieba · 1×
Citations per year, relative to Agata Zieba
Agata Zieba · 1×

Countries citing papers authored by Agata Zieba

Since Specialization
Citations

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

Fields of papers citing papers by Agata Zieba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Agata Zieba

This figure shows the co-authorship network connecting the top 25 collaborators of Agata Zieba. A scholar is included among the top collaborators of Agata Zieba 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 Zieba. Agata Zieba 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
# Work Indexed citations
1 7
2 184
3 52
4 16
5 15
6 7
7 119
8 16
9 22
10 44
11 10
12 13
13 24
14 89
15 119
16 27
17 18
18 74
19 11
20 16

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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