Maria Mudryj

5.1k citations
63 papers · 4.3k indexed · 1 hit paper · h-index 31

Impact in

Papers in

Maria Mudryj

62 papers receiving 4.2k citations

Hit Papers

The E2F transcription factor is a cellular target for the RB protein 1991 · 1.2k citations
1.2k19912026200220144008001.2k

Peers

Maria Mudryj
Comparison fields: 5 of 108
  • Oncology 1.9k
  • Immunology and Allergy 276
  • Molecular Biology 2.7k
  • Genetics 1.0k
  • Cancer Research 497
Replace Antonio Postigo with:
Antonio Postigo Spain
Hervé Prats France
J. Reifenberger Germany
Xiang‐Fu Wu China
K Toyoshima Japan
Sharon Brookes United Kingdom
Doron Ginsberg Israel
Gaetano Romano United States
Vimla Band United States
Jane Clifford Azizkhan United States
Maria Mudryj relative to Antonio Postigo Spain Antonio Postigo's profile →
Citations per field
00.5×1.5×
Antonio Postigo · 1×
Citations per year

Countries citing papers authored by Maria Mudryj

Since Specialization
Citations

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

Fields of papers citing papers by Maria Mudryj

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20241
3 20234
4 20238
5 20237
6 20237
7 20216
8 20217
9 20206
10 201166
11 2009112
12 200926
13 20075
14 200535
15 200324
16 200240
17
The E2F transcription factor is a cellular target for the RB protein
Hit paper breakdown →
19911207
18 1991335
19 198817
20 197920

About Maria Mudryj

Maria Mudryj is a scholar working on Immunology and Allergy, Pulmonary and Respiratory Medicine, Oncology, Biotechnology and Biomaterials, having authored 63 papers that have together received 4.3k indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (22 papers), Cancer-related Molecular Pathways (14 papers), Cell Adhesion Molecules Research (10 papers), Ubiquitin and proteasome pathways (9 papers), Bladder and Urothelial Cancer Treatments (8 papers), Virus-based gene therapy research (7 papers), Collagen: Extraction and Characterization (6 papers) and Hormonal and reproductive studies (6 papers). The work is most often cited by research in Oncology (1.9k citations), Immunology and Allergy (276 citations), Molecular Biology (2.7k citations), Genetics (1.0k citations) and Cancer Research (497 citations). Maria Mudryj has collaborated with scholars based in United States, India and France. Frequent co-authors include Joseph R. Nevins, Scott W. Hiebert, Srikumar Chellappan, Jonathan M. Horowitz, Benoît De Crombrugghe, Stephen H. Devoto, Jonathon Pines, P. Ghosh, Tony Hunter and Gene Liau. Their work appears in journals such as Cancer Research, Cell, Journal of Biological Chemistry, Endocrine Related Cancer and Cancer Letters.

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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