M. Grabowski

25 papers receiving 462 citations

Peers

M. Grabowski
Comparison fields: 5 of 86
  • Structural Biology 12
  • Materials Chemistry 217
  • Molecular Biology 307
  • Infectious Diseases 48
  • Molecular Medicine 13
Replace Giacomo Janson with:
Giacomo Janson Italy
Maria Voigt United States
João V. Ribeiro United States
Martha Quesada United States
Naomi K. Fox United States
Adam J. Simpkin United Kingdom
Tristan Cragnolini United Kingdom
Khushboo Bafna United States
Jorge Roel‐Touris Netherlands
Kimberly F. Fennell United States
M. Grabowski relative to Giacomo Janson Italy Giacomo Janson's profile →
Citations per field
00.5×9.5×
Giacomo Janson · 1×
Citations per year

Countries citing papers authored by M. Grabowski

Since Specialization
Citations

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

Fields of papers citing papers by M. Grabowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201687
2 200854
3 201653
4 200734
5 200429
6 201427
7 200926
8 201924
9 202024
10 201618
11 202014
12 202013
13 202112
14 20039
15 20128
16 20178
17 20215
18 20125
19 20135
20 20184

About M. Grabowski

M. Grabowski is a scholar working on Molecular Biology, Materials Chemistry, Infectious Diseases, Information Systems and Computational Theory and Mathematics, having authored 26 papers that have together received 469 indexed citations. Recurring topics across this work include Enzyme Structure and Function (11 papers), Protein Structure and Dynamics (8 papers), RNA and protein synthesis mechanisms (6 papers), Bioinformatics and Genomic Networks (3 papers), Genetics, Bioinformatics, and Biomedical Research (3 papers), Advanced Proteomics Techniques and Applications (2 papers), Computational Drug Discovery Methods (2 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). The work is most often cited by research in Structural Biology (12 citations), Materials Chemistry (217 citations), Molecular Biology (307 citations), Infectious Diseases (48 citations) and Molecular Medicine (13 citations). M. Grabowski has collaborated with scholars based in United States, Poland and Canada. Frequent co-authors include W. Minor, Matthew D. Zimmerman, M. Chruszcz, Heping Zheng, David R. Cooper, Zbyszek Otwinowski, M. Cymborowski, E. Niedzialkowska, Matthew Zimmerman and Przemyslaw Porebski. Their work appears in journals such as IUCrJ, Open Forum Infectious Diseases, Protein Science, Journal of Structural and Functional Genomics and Nuclear Instruments and Methods in Physics Research Section B Beam Interactions with Materials and Atoms.

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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