Marcin Rylski

1.6k citations
29 papers · 1.3k · h-index 16

Impact in

Papers in

    • Epigenetics and DNA Methylation 6
    • Signaling Pathways in Disease 4
    • S100 Proteins and Annexins 3
    • RNA modifications and cancer 3
    • Protease and Inhibitor Mechanisms 7
    • MicroRNA in disease regulation 3

Marcin Rylski

28 papers receiving 1.3k citations

Peers

Marcin Rylski
Comparison fields: 5 of 84
  • Developmental Neuroscience 166
  • Cancer Research 405
  • Cellular and Molecular Neuroscience 346
  • Neurology 128
  • Hematology 124
Replace Doron Lederfein with:
Doron Lederfein Israel
Inge Van Hove Belgium
Peter H. Larsen Canada
Patrick Ventura United States
Andrew J. H. Smith United Kingdom
Xiao‐Ping He United States
Myrna A.R. Dent Mexico
Catherine Vaillant Switzerland
Emilie Pacary France
Marcin Rylski relative to Doron Lederfein Israel Doron Lederfein's profile →
Citations per field
00.5×12.3×
Doron Lederfein · 1×
Citations per year

Countries citing papers authored by Marcin Rylski

Since Specialization
Citations

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

Fields of papers citing papers by Marcin Rylski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002344
2 2004214
3 2003169
4 2004146
5 200777
6 201349
7 200838
8 201937
9 200837
10 201836
11 201629
12 200428
13 201227
14 202022
15 202216
16 200816
17 202215
18 201512
19 20227
20 20237

About Marcin Rylski

Marcin Rylski is a scholar working on Molecular Biology, Cancer Research, Neurology, Cellular and Molecular Neuroscience and Surgery, having authored 29 papers that have together received 1.3k indexed citations. Recurring topics across this work include Protease and Inhibitor Mechanisms (7 papers), Epigenetics and DNA Methylation (6 papers), Neurological disorders and treatments (6 papers), Signaling Pathways in Disease (4 papers), S100 Proteins and Annexins (3 papers), Nuclear Receptors and Signaling (3 papers), MicroRNA in disease regulation (3 papers) and RNA modifications and cancer (3 papers). The work is most often cited by research in Developmental Neuroscience (166 citations), Cancer Research (405 citations), Cellular and Molecular Neuroscience (346 citations), Neurology (128 citations) and Hematology (124 citations). Marcin Rylski has collaborated with scholars based in Poland, United States and Netherlands. Frequent co-authors include Leszek Kaczmarek, Joanna Dzwonek, Arek Szklarczyk, Ronald D.G. McKay, Grzegorz M. Wilczyński, Filip A. Konopacki, Jacek Jaworski, Gerd A. Blobel, Mitchell J. Weiss and John J. Welch. Their work appears in journals such as Journal of Neuroscience, Brain Structure and Function, Epilepsy Research, Neuroscience and PLoS ONE.

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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