Filip Jagodzinski

454 total citations
39 papers, 282 citations indexed

About

Filip Jagodzinski is a scholar working on Molecular Biology, Materials Chemistry and Computational Theory and Mathematics. According to data from OpenAlex, Filip Jagodzinski has authored 39 papers receiving a total of 282 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 13 papers in Materials Chemistry and 7 papers in Computational Theory and Mathematics. Recurrent topics in Filip Jagodzinski's work include Protein Structure and Dynamics (27 papers), RNA and protein synthesis mechanisms (16 papers) and Enzyme Structure and Function (13 papers). Filip Jagodzinski is often cited by papers focused on Protein Structure and Dynamics (27 papers), RNA and protein synthesis mechanisms (16 papers) and Enzyme Structure and Function (13 papers). Filip Jagodzinski collaborates with scholars based in United States and Canada. Filip Jagodzinski's co-authors include Nurit Haspel, Mary M. Sugrue, Ruth M.E. Chalmers-Redman, Ileana Streinu, Nadine Tatton, W. G. Tatton, Matthias Elstner, Jeanne A. Hardy, Qiang Hao and Erik Andersson and has published in prestigious journals such as Molecules, BMC Bioinformatics and Protein Science.

In The Last Decade

Filip Jagodzinski

34 papers receiving 272 citations

Peers

Filip Jagodzinski
Woojin Kim South Korea
Juan Felipe Beltrán United States
John L. Moreland United States
Silvia Crivelli United States
Fang Ge China
Carles Corbi‐Verge Canada
Lucien F. Krapp Switzerland
Sabry Razick Norway
Evangelos Karatzas Greece
Lan Huang China
Woojin Kim South Korea
Filip Jagodzinski
Citations per year, relative to Filip Jagodzinski Filip Jagodzinski (= 1×) peers Woojin Kim

Countries citing papers authored by Filip Jagodzinski

Since Specialization
Citations

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

Fields of papers citing papers by Filip Jagodzinski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Filip Jagodzinski

This figure shows the co-authorship network connecting the top 25 collaborators of Filip Jagodzinski. A scholar is included among the top collaborators of Filip Jagodzinski based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Filip Jagodzinski. Filip Jagodzinski is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Hutchinson, Brian, et al.. (2024). Energy metric prediction for double insertion mutants via the RoseNet deep learning framework. Bioinformatics Advances. 5(1). vbae198–vbae198.
2.
Jagodzinski, Filip, et al.. (2024). How pairs of insertion mutations impact protein structure: an exhaustive computational study. Bioinformatics Advances. 4(1). vbae138–vbae138.
3.
Jagodzinski, Filip, et al.. (2023). Identifying Impactful Pairs of Insertion Mutations in Proteins. 1–8.
4.
Haspel, Nurit, et al.. (2021). Assessing the Effects of Amino Acid Insertion and Deletion Mutations. 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). 2511–2518. 3 indexed citations
5.
6.
Jagodzinski, Filip, et al.. (2021). CGRAP: A Web Server for Coarse-Grained Rigidity Analysis of Proteins. Symmetry. 13(12). 2401–2401. 2 indexed citations
7.
8.
Jagodzinski, Filip, et al.. (2020). Impactful Mutations in Mpro of the SARS-CoV-2 Proteome. 1–3. 3 indexed citations
9.
Smith, David H., et al.. (2019). Quantifying the Effects of Prior Knowledge in Entry-Level Programming Courses. 30–36. 13 indexed citations
10.
Jagodzinski, Filip, et al.. (2019). PETRA. 568–573. 1 indexed citations
11.
Chen, Brian, et al.. (2018). Exploring Protein Cavities through Rigidity Analysis. Molecules. 23(2). 351–351. 4 indexed citations
12.
13.
Jagodzinski, Filip, et al.. (2017). Mutation Sensitivity Maps: Identifying Residue Substitutions That Impact Protein Structure Via a Rigidity Analysis In Silico Mutation Approach. Journal of Computational Biology. 25(1). 89–102. 6 indexed citations
14.
Haspel, Nurit & Filip Jagodzinski. (2016). Methods for Detecting Critical Residues in Proteins. Methods in molecular biology. 1498. 227–242. 3 indexed citations
15.
16.
Jagodzinski, Filip, et al.. (2013). Rigidity analysis of protein biological assemblies and periodic crystal structures. BMC Bioinformatics. 14(S18). S2–S2. 10 indexed citations
17.
18.
Jagodzinski, Filip, et al.. (2013). Rigidity and flexibility of protein-nucleic acid complexes. Smith ScholarWorks (Smith College). 8. 1–6. 2 indexed citations
19.
Gonçalves, Marcos André, et al.. (2003). The XML log standard for digital libraries: analysis, evolution, and deployment. 312–314. 15 indexed citations
20.
Tatton, W. G., Ruth M.E. Chalmers-Redman, Matthias Elstner, et al.. (2000). Glyceraldehyde-3-phosphate dehydrogenase in neurodegeneration and apoptosis signaling. PubMed. 77–100. 81 indexed citations

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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