Anna Polak

20 papers receiving 237 citations

Peers

Anna Polak
Comparison fields: 5 of 62
  • Pathology and Forensic Medicine 75
  • Oncology 70
  • Genetics 26
  • Cancer Research 35
  • Hematology 23
Replace Ewa Jabłońska with:
Ewa Jabłońska Poland
Aurélie Drouet France
Deborah Morena Italy
Xuebing Jia China
Dong‐In Koh South Korea
Jan Pěnčík Austria
Kyle M. LaPak United States
Nicole Kiweler Germany
Domenico Sardella Italy
Wencai Ma United States
Anna Polak relative to Ewa Jabłońska Poland Ewa Jabłońska's profile →
Citations per field
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Ewa Jabłońska · 1×
Citations per year

Countries citing papers authored by Anna Polak

Since Specialization
Citations

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

Fields of papers citing papers by Anna Polak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201741
2 201640
3 201638
4 201625
5 201622
6 201617
7 202014
8 20118
9 20156
10
Transfer of maternal passive immunity to kids in goat herd.
20025
11 20234
12 20163
13 20173
14
Influence of preischemic short-term triiodothyronine administration on hemodynamic function and metabolism of reperfused isolated rat heart.
20043
15 20163
16 20192
17 20231
18 20151
19 20201
20 20181

About Anna Polak

Anna Polak is a scholar working on Molecular Biology, Oncology, Immunology, Pathology and Forensic Medicine and Cell Biology, having authored 26 papers that have together received 239 indexed citations. Recurring topics across this work include Endoplasmic Reticulum Stress and Disease (4 papers), Cancer Mechanisms and Therapy (4 papers), Ubiquitin and proteasome pathways (4 papers), Galectins and Cancer Biology (3 papers), Viral-associated cancers and disorders (3 papers), Autophagy in Disease and Therapy (3 papers), Peptidase Inhibition and Analysis (3 papers) and Acute Myeloid Leukemia Research (2 papers). The work is most often cited by research in Pathology and Forensic Medicine (75 citations), Oncology (70 citations), Genetics (26 citations), Cancer Research (35 citations) and Hematology (23 citations). Anna Polak has collaborated with scholars based in Poland, United Kingdom and United States. Frequent co-authors include Przemysław Juszczyński, Maciej Szydłowski, Ewa Jabłońska, Krzysztof Warzocha, Emilia Białopiotrowicz, Patryk Górniak, Monika Prochorec‐Sobieszek, Anna Szumera‐Ciećkiewicz, Sergiusz Markowicz and Ewa Lech‐Marańda. Their work appears in journals such as Blood, Molecular Oncology, Annals of Oncology, Cell Death and Disease and The International Journal of Biochemistry & Cell 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.

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