Michał Dadlez

7.2k citations
187 papers · 5.5k indexed · h-index 42

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

Michał Dadlez

183 papers receiving 5.5k citations

Peers

Michał Dadlez
Comparison fields: 5 of 142
  • Molecular Biology 3.8k
  • Cell Biology 885
  • Transplantation 97
  • Biological Psychiatry 88
  • Aging 52
Replace Rong‐Fong Shen with:
Rong‐Fong Shen United States
Roberto Sitia Italy
Christopher M. Colangelo United States
Chanchal Kumar Germany
James I. Elliott United Kingdom
Mikihiko Naito Japan
Edward Y. Skolnik United States
Edward Seto United States
Ilka Wittig Germany
Tao Liu United States
Michał Dadlez relative to Rong‐Fong Shen United States Rong‐Fong Shen's profile →
Citations per field
00.5×3.3×
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-authorship network

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
#Work
1 20250
2 202210
3 202120
4 20203
5 202020
6 201957
7 201921
8 201723
9 20179
10 20166
11 201524
12 201517
13 201423
14 201420
15 201340
16 201324
17 20096
18 20032
19 2003103
20 200120

About Michał Dadlez

Michał Dadlez is a scholar working on Transplantation, Cell Biology, Molecular Biology, Spectroscopy and Clinical Biochemistry, having authored 187 papers that have together received 5.5k 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), Peptidase Inhibition and Analysis (13 papers), Cellular transport and secretion (13 papers), Protein Structure and Dynamics (12 papers), Microtubule and mitosis dynamics (12 papers) and RNA modifications and cancer (12 papers). The work is most often cited by research in Molecular Biology (3.8k citations), Cell Biology (885 citations), Transplantation (97 citations), Biological Psychiatry (88 citations) and Aging (52 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, Radosław Jaźwiec, Jerzy Ostrowski, Aleksandra Wysłouch‐Cieszyńska, Jakub Karczmarski and Jarosław Poznański. Their work appears in journals such as Journal of Molecular Biology, PLoS ONE, Scientific Reports, Open Biology and Journal of Biological 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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