Dariusz Pytel

46 papers receiving 2.5k citations

Dariusz Pytel's Hit Papers

The Role of the PERK/eIF2α/ATF4/CHOP Signaling Pathway in Tumor Progression During Endoplasmic Reticulum Stress 2016 · 707 citations
7070+3+6Years since publication200400600

Peers

Dariusz Pytel
Comparison fields: 5 of 103
  • Cell Biology 1.2k
  • Geriatrics and Gerontology 73
  • Epidemiology 671
  • Biological Psychiatry 47
  • Aging 34
Replace Karen D. McCullough with:
Karen D. McCullough United States
Yu-Hsuan Lin United States
Hery Urra Chile
Tetsuya Saito Japan
Jane L. Roberts United States
Maria Livia Sassano Belgium
Isao Naguro Japan
Fawzia Bardag‐Gorce United States
Celvie L. Yuan United States
Dariusz Pytel relative to Karen D. McCullough United States Karen D. McCullough's profile →
Citations per field
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Citations per year

Countries citing papers authored by Dariusz Pytel

Since Specialization
Citations

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

Fields of papers citing papers by Dariusz Pytel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The Role of the PERK/eIF2α/ATF4/CHOP Signaling Pathway in Tumor Progression During Endoplasmic Reticulum Stress
Hit paper breakdown →
2016707
2 2010258
3 2012186
4 2021135
5 2019132
6 2012103
7 2009102
8 202068
9 201563
10 201361
11 201553
12 201052
13 201549
14 202248
15 201946
16 201645
17 201341
18 201236
19 201330
20 201524

About Dariusz Pytel

Dariusz Pytel is a scholar working on Cell Biology, Molecular Biology, Hematology, Ophthalmology and Genetics, having authored 47 papers that have together received 2.5k indexed citations. Recurring topics across this work include Endoplasmic Reticulum Stress and Disease (21 papers), Autophagy in Disease and Therapy (10 papers), Chronic Myeloid Leukemia Treatments (6 papers), Glaucoma and retinal disorders (5 papers), RNA regulation and disease (4 papers), DNA Repair Mechanisms (4 papers), Chronic Lymphocytic Leukemia Research (4 papers) and Heat shock proteins research (3 papers). The work is most often cited by research in Cell Biology (1.2k citations), Geriatrics and Gerontology (73 citations), Epidemiology (671 citations), Biological Psychiatry (47 citations) and Aging (34 citations). Dariusz Pytel has collaborated with scholars based in United States, Poland and China. Frequent co-authors include John Alan Diehl, Ireneusz Majsterek, Wioletta Rozpędek‐Kamińska, Bartosz Mucha, Ekaterina V. Bobrovnikova-Marjon, Adam Wawrzynkiewicz, Natalia Siwecka, Constantinos Koumenis, Tomasz Popławski and Jiangbin Ye. Their work appears in journals such as International Journal of Molecular Sciences, Current Molecular Medicine, BioMed Research International, Oncogene and Current Medicinal Chemistry.

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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