Dmitry Tworowski

1.3k citations
21 papers · 944 · h-index 12

Impact in

Papers in

    • RNA and protein synthesis mechanisms 9
    • RNA modifications and cancer 7
    • Genomics and Phylogenetic Studies 4
    • Protein Structure and Dynamics 3
    • Lipid Membrane Structure and Behavior 2

Dmitry Tworowski

21 papers receiving 917 citations

Peers

Dmitry Tworowski
Comparison fields: 5 of 111
  • Infectious Diseases 261
  • Nutrition and Dietetics 197
  • Pathology and Forensic Medicine 218
  • Molecular Biology 428
  • Cancer Research 62
Replace Etsuko Ishikawa with:
Etsuko Ishikawa Japan
Qiuwei Xu United States
Peter I. Dosa United States
Giovanna Boumis Italy
Chi‐Yuan Chou Taiwan
Dianfan Li China
Alexander V. Predeus Russia
Kelvin Lau Switzerland
Marwan K. Al‐Shawi United States
R. K. ROBINS United States
Dmitry Tworowski relative to Etsuko Ishikawa Japan Etsuko Ishikawa's profile →
Citations per field
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Citations per year

Countries citing papers authored by Dmitry Tworowski

Since Specialization
Citations

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

Fields of papers citing papers by Dmitry Tworowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020296
2 2011166
3 200865
4 200564
5 202056
6 201053
7 200646
8 201444
9 200537
10 202027
11 202118
12 200317
13 201711
14 20159
15 20237
16 20196
17 20206
18 20225
19 20155
20 20094

About Dmitry Tworowski

Dmitry Tworowski is a scholar working on Molecular Biology, Infectious Diseases, Pharmacology, Biomaterials and Computational Theory and Mathematics, having authored 21 papers that have together received 944 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (9 papers), RNA modifications and cancer (7 papers), Genomics and Phylogenetic Studies (4 papers), Protein Structure and Dynamics (3 papers), Computational Drug Discovery Methods (2 papers), Lipid Membrane Structure and Behavior (2 papers), Bacterial Genetics and Biotechnology (2 papers) and Polysaccharides and Plant Cell Walls (2 papers). The work is most often cited by research in Infectious Diseases (261 citations), Nutrition and Dietetics (197 citations), Pathology and Forensic Medicine (218 citations), Molecular Biology (428 citations) and Cancer Research (62 citations). Dmitry Tworowski has collaborated with scholars based in Israel, Russia and United Kingdom. Frequent co-authors include Milana Frenkel‐Morgenstern, Mark Safro, Alessandro Gorohovski, Shlomo Vinker, Ilan Green, Irit Sagi, Avivit Golan‐Cohen, Eugene Merzon, Moran Grossman and Nina Moor. Their work appears in journals such as Protein Science, FEBS Journal, Journal of Molecular Biology, Biochemistry and Phytochemistry.

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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