Ewa M. Michalak

7.2k citations
37 papers · 5.2k indexed · 3 hit papers · h-index 27

Ewa M. Michalak

37 papers receiving 5.2k citations

Hit Papers

The roles of DNA, RNA and...38320032026201020182505007501000

Peers

Ewa M. Michalak
Comparison fields: 5 of 113
  • Oncology 1.6k
  • Cell Biology 951
  • Molecular Biology 3.7k
  • Immunology 957
  • Cancer Research 640
Replace Sam W. Lee with:
Sam W. Lee United States
Gen Sheng Wu United States
Grazia Ambrosini United States
Arlette Hammann France
Priscilla N. Kelly Australia
Kurt Engeland Germany
Lindsey D. Mayo United States
Sophie Tartare‐Deckert France
Kiyotsugu Yoshida Japan
Toshinori Ozaki Japan
Ewa M. Michalak relative to Sam W. Lee United States Sam W. Lee's profile →
Citations per field
00.5×1.5×
Sam W. Lee · 1×
Citations per year

Countries citing papers authored by Ewa M. Michalak

Since Specialization
Citations

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

Fields of papers citing papers by Ewa M. Michalak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1
The roles of DNA, RNA and histone methylation in ageing and cancerbreakdown →
2019383
2 201812
3 201653
4 201461
5 2013224
6 2012209
7 201229
8 201115
9 2010103
10 2009126
11 2007216
12
ER Stress Triggers Apoptosis by Activating BH3-Only Protein Bimbreakdown →
20071159
13
Involvement of Bcl-2 family proteins in Gleevec's mechanism of action
20061
14 20061
15 200653
16 200649
17 200592
18
In vitro transfection of fibroblasts and evaluation of transgenesis in long-term cell cultures
20046
19
p53- and Drug-Induced Apoptotic Responses Mediated by BH3-Only Proteins Puma and Noxabreakdown →
20031063
20 20031

About Ewa M. Michalak

Ewa M. Michalak is a scholar working on Oncology, Molecular Biology and Cancer Research, having authored 37 papers that have together received 5.2k indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (14 papers), Cancer-related Molecular Pathways (11 papers), Epigenetics and DNA Methylation (5 papers), Animal Genetics and Reproduction (5 papers), Pluripotent Stem Cells Research (4 papers), Ubiquitin and proteasome pathways (4 papers), NF-κB Signaling Pathways (4 papers) and Cancer Research and Treatments (3 papers). The work is most often cited by research in Oncology (1.6k citations), Cell Biology (951 citations) and Molecular Biology (3.7k citations). Ewa M. Michalak has collaborated with scholars based in Australia, Austria and Netherlands. Frequent co-authors include Andreas Strasser, Andreas Villunger, Jerry M. Adams, Leigh Coultas, Günther Böck, Franziska B. Mullauer, Michael J. Ausserlechner, Philippe Bouillet, Hamsa Puthalakath and Priscilla N. Kelly. Their work appears in journals such as Science, Cell and Proceedings of the National Academy of Sciences.

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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