Dmitrij Frishman

3.7k citations
17 papers · 2.9k indexed · 1 hit paper · h-index 11
Topics
Protein Structure and Dynamics (13 papers)RNA and protein synthesis mechanisms (9 papers)Machine Learning in Bioinformatics (6 papers)
Partner nations
GermanyRussiaDenmark

In The Last Decade

Dmitrij Frishman

16 papers receiving 2.8k citations

Hit Papers

Knowledge‐based protein secondary structure assignment1995202620052015199550010001.5k2.0k

Peers

Dmitrij Frishman
Comparison fields: 5 of 126
  • Molecular Biology 2.5k
  • Materials Chemistry 764
  • Physiology 237
  • Spectroscopy 237
  • Computational Theory and Mathematics 202
Replace Kannan Gunasekaran with:
Kannan Gunasekaran United States
Srivatsan Raman United States
Vikram Khipple Mulligan United States
David S. Moss United Kingdom
Kevin J. Lumb United States
John Karanicolas United States
Sebastian Kmiecik Poland
Douglas V. Laurents Spain
Gerald Böhm Germany
Michał J. Gajda Germany
Dmitrij Frishman relative to Kannan Gunasekaran United States Kannan Gunasekaran's profile →
Citations per field
00.5×1.5×
Kannan Gunasekaran · 1×
Citations per year

Countries citing papers authored by Dmitrij Frishman

Since Specialization
Citations

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

Fields of papers citing papers by Dmitrij Frishman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dmitrij Frishman

This figure shows the co-authorship network connecting the top 25 collaborators of Dmitrij Frishman. A scholar is included among the top collaborators of Dmitrij Frishman 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 Dmitrij Frishman. Dmitrij Frishman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
#WorkIndexed citations
1 1
2 0
3 5
4 8
5 7
6 23
7 50
8 50
9 123
10 14
11 3
12 154
13 290
14 11
15
Knowledge‐based protein secondary structure assignmentbreakdown →
2091
16 46
17 22

About Dmitrij Frishman

Dmitrij Frishman is a scholar working on Molecular Biology, Spectroscopy and Materials Chemistry, having authored 17 papers that have together received 2.9k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (13 papers), RNA and protein synthesis mechanisms (9 papers) and Machine Learning in Bioinformatics (6 papers). The work is most often cited by research in Molecular Biology (2.5k citations), Materials Chemistry (764 citations) and Spectroscopy (237 citations). Dmitrij Frishman has collaborated with scholars based in Germany, Russia and Denmark. Frequent co-authors include Patrick Argos, Hans‐Werner Mewes, Kaj Albermann, Klaus G. Heumann, A. Zollner, Tad A. Holak, Antonio J. Martín-Galiano, Pawel Smialowski, Aleksandra Mikolajka and Angelika Fuchs. Their work appears in journals such as Nature Communications, Bioinformatics and Journal of Molecular Biology.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026