Błażej Rubiś

2.0k citations
88 papers · 1.5k indexed · h-index 23

Impact in

  • Aging top 5%
    • Genetics, Aging, and Longevity in Model Organisms
  • Physiology top 5%
    • Telomeres, Telomerase, and Senescence

Papers in

Błażej Rubiś

83 papers receiving 1.5k citations

Peers

Błażej Rubiś
Comparison fields: 5 of 125
  • Aging 82
  • Physiology 401
  • Cancer Research 172
  • Molecular Biology 755
  • Biochemistry 60
Replace Rohit Sharma with:
Rohit Sharma India
Mohammad Jafri Saudi Arabia
Wilbert P. Vermeij Netherlands
Myoung Ok Kim South Korea
Flavio Flamigni Italy
Olga Kardymon Russia
Siwanon Jirawatnotai Thailand
Shoaib Ahmad Malik Pakistan
Norbert Naß Germany
Błażej Rubiś relative to Rohit Sharma India Rohit Sharma's profile →
Citations per field
00.5×3.5×
Rohit Sharma · 1×
Citations per year

Countries citing papers authored by Błażej Rubiś

Since Specialization
Citations

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

Fields of papers citing papers by Błażej Rubiś

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20244
4 202418
5 20240
6 20236
7 20239
8 202336
9 20232
10 20235
11 20229
12 20212
13 202017
14 202014
15 201515
16
Telomere length as a prognostic marker in breast and lung cancer
20122
17 201115
18
The roles of leptin and LEP and LEPR gene polymorphisms in pathogenesis of breast cancer
20102
19 201016
20 20033

About Błażej Rubiś

Błażej Rubiś is a scholar working on Aging, Physiology, Biotechnology, Molecular Biology and Toxicology, having authored 88 papers that have together received 1.5k indexed citations. Recurring topics across this work include Telomeres, Telomerase, and Senescence (23 papers), Advanced biosensing and bioanalysis techniques (10 papers), RNA Interference and Gene Delivery (9 papers), Cancer Research and Treatments (8 papers), Natural product bioactivities and synthesis (7 papers), DNA and Nucleic Acid Chemistry (5 papers), Estrogen and related hormone effects (5 papers) and Drug Transport and Resistance Mechanisms (4 papers). The work is most often cited by research in Aging (82 citations), Physiology (401 citations), Cancer Research (172 citations), Molecular Biology (755 citations) and Biochemistry (60 citations). Błażej Rubiś has collaborated with scholars based in Poland, United States and Austria. Frequent co-authors include Wojciech Barczak, Ewa Totoń, Przemysław Kopczyński, Maria Rybczyńska, Natalia Lisiak, Anna Paszel-Jaworska, Aleksandra Romaniuk-Drapała, Mariusz Kaczmarek, Anatoly Zhitkovich and Sylwia Grodecka-Gazdecka. Their work appears in journals such as International Journal of Molecular Sciences, Molecular Biology Reports, Scientific Reports, Chemico-Biological Interactions and Pharmacological Reports.

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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