Michał Dadlez

7.2k citations
186 papers · 5.7k · h-index 43

Impact in

    • RNA and protein synthesis mechanisms
    • RNA Research and Splicing
    • RNA modifications and cancer
    • Protein Structure and Dynamics
    • Genomics and Chromatin Dynamics
    • Microtubule and mitosis dynamics

Papers in

    • RNA and protein synthesis mechanisms 23
    • RNA Research and Splicing 14
    • Protein Structure and Dynamics 12
    • Cellular transport and secretion 12
    • Microtubule and mitosis dynamics 12

Michał Dadlez

184 papers receiving 5.7k citations

Peers

Michał Dadlez
Comparison fields: 5 of 140
  • Molecular Biology 3.8k
  • Cell Biology 877
  • Transplantation 97
  • Biological Psychiatry 78
  • Aging 49
Replace Rong‐Fong Shen with:
Rong‐Fong Shen United States
Chanchal Kumar Germany
Roberto Sitia Italy
Christopher M. Colangelo United States
Mikihiko Naito Japan
Shuji Takahashi Japan
Robert N. Cole United States
Fraydoon Rastinejad United States
June L. Biedler United States
Mark Skehel United Kingdom
Michał Dadlez relative to Rong‐Fong Shen United States Rong‐Fong Shen's profile →
Citations per field
00.5×4.4×
Rong‐Fong Shen · 1×
Citations per year

Countries citing papers authored by Michał Dadlez

Since Specialization
Citations

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

Fields of papers citing papers by Michał Dadlez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 186 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002336
2 2011211
3 2014176
4 2014137
5 2010119
6 2003113
7 2016108
8 2018106
9 2003104
10 1999102
11 2011102
12 200998
13 201094
14 201190
15 199988
16 201488
17 200787
18 201375
19 201872
20 200671

About Michał Dadlez

Michał Dadlez is a scholar working on Molecular Biology, Cell Biology, Spectroscopy, Oncology and Physiology, having authored 186 papers that have together received 5.7k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (23 papers), Advanced Proteomics Techniques and Applications (16 papers), RNA Research and Splicing (14 papers), Cellular transport and secretion (12 papers), Mass Spectrometry Techniques and Applications (12 papers), Microtubule and mitosis dynamics (12 papers), Peptidase Inhibition and Analysis (12 papers) and Protein Structure and Dynamics (12 papers). The work is most often cited by research in Molecular Biology (3.8k citations), Cell Biology (877 citations), Transplantation (97 citations), Biological Psychiatry (78 citations) and Aging (49 citations). Michał Dadlez has collaborated with scholars based in Poland, United States and United Kingdom. Frequent co-authors include Janusz Dȩbski, Jacek Otlewski, Tymon Rubel, David M. Glover, Agata Malinowska, Jerzy Ostrowski, Aleksandra Wysłouch‐Cieszyńska, Radosław Jaźwiec, Michał Mikuła and Jakub Karczmarski. Their work appears in journals such as Journal of Molecular Biology, PLoS ONE, Scientific Reports, Open Biology and Nucleic Acids Research.

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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