Robert Stawski

1000 citations
32 papers · 753 · h-index 14

Impact in

  • Genetics top 5%
    • Glioma Diagnosis and Treatment
    • MicroRNA in disease regulation
    • Cancer Genomics and Diagnostics
    • Cancer, Hypoxia, and Metabolism
    • Cancer-related molecular mechanisms research

Papers in

Robert Stawski

30 papers receiving 746 citations

Peers

Robert Stawski
Comparison fields: 5 of 87
  • Genetics 274
  • Cancer Research 283
  • Endocrine and Autonomic Systems 59
  • Physiology 121
  • Neurology 65
Replace Song-Guang Ren with:
Song-Guang Ren United States
David Rohde Germany
John Apps United Kingdom
Karra A. Jones United States
Zhi Jiang China
Kathryn Graham United Kingdom
P.‐O. Schnell Sweden
Rafael Sánchez‐Sánchez Spain
Chengshi Xu China
Hyesook Yoon United States
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Citations per field
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Citations per year

Countries citing papers authored by Robert Stawski

Since Specialization
Citations

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

Fields of papers citing papers by Robert Stawski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010175
2 202072
3 201171
4 201755
5 201644
6 201137
7 202033
8 201032
9 202029
10 201820
11 201918
12 202118
13 200817
14 201917
15 202213
16 201213
17
Spontaneous in vitro senescence of glioma cells confirmed by an antibody against IDH1R132H.
201413
18 200812
19 200911
20 200811

About Robert Stawski

Robert Stawski is a scholar working on Molecular Biology, Cancer Research, Genetics, Oncology and Physiology, having authored 32 papers that have together received 753 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (6 papers), Glioma Diagnosis and Treatment (6 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (3 papers), MicroRNA in disease regulation (3 papers), Chromatin Remodeling and Cancer (3 papers), Cancer-related Molecular Pathways (3 papers), High Altitude and Hypoxia (3 papers) and Exercise and Physiological Responses (3 papers). The work is most often cited by research in Genetics (274 citations), Cancer Research (283 citations), Endocrine and Autonomic Systems (59 citations), Physiology (121 citations) and Neurology (65 citations). Robert Stawski has collaborated with scholars based in Poland, United States and France. Frequent co-authors include Dariusz Nowak, Ewelina Perdas, Maria Zubrzycka, Piotr Białasiewicz, Agata Gabryelska, Marcin Sochal, Bartosz Szmyd, Sumihito Nobusawa, Young Ho Kim and Yoichi Nakazato. Their work appears in journals such as International Journal of Molecular Sciences, Biology, Scientific Reports, British Journal of Cancer and Journal of Clinical Medicine.

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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