Peter Agback

1.2k total citations
59 papers, 967 citations indexed

About

Peter Agback is a scholar working on Molecular Biology, Organic Chemistry and Infectious Diseases. According to data from OpenAlex, Peter Agback has authored 59 papers receiving a total of 967 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Molecular Biology, 11 papers in Organic Chemistry and 10 papers in Infectious Diseases. Recurrent topics in Peter Agback's work include DNA and Nucleic Acid Chemistry (15 papers), RNA and protein synthesis mechanisms (15 papers) and Mosquito-borne diseases and control (9 papers). Peter Agback is often cited by papers focused on DNA and Nucleic Acid Chemistry (15 papers), RNA and protein synthesis mechanisms (15 papers) and Mosquito-borne diseases and control (9 papers). Peter Agback collaborates with scholars based in Sweden, Russia and United States. Peter Agback's co-authors include Jyoti Chattopadhyaya, Tatiana Agback, T. V. Maltseva, Anders Sandström, Elena I. Frolova, Stefan Knapp, Herbert Baumann, Rudolf Ladenstein, Torleif Härd and Ilya Frolov and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and Analytical Chemistry.

In The Last Decade

Peter Agback

58 papers receiving 936 citations

Peers

Peter Agback
Erika A. Taylor United States
Peter Agback
Citations per year, relative to Peter Agback Peter Agback (= 1×) peers Erika A. Taylor

Countries citing papers authored by Peter Agback

Since Specialization
Citations

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

Fields of papers citing papers by Peter Agback

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter Agback

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Agback. A scholar is included among the top collaborators of Peter Agback 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 Peter Agback. Peter Agback 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.
Agback, Tatiana, Peter Agback, Vambola Kisand, et al.. (2025). Molecular mechanisms behind the anti corona virus activity of small metal oxide nanoparticles. Nanoscale. 17(7). 3728–3738. 1 indexed citations
2.
Lesovoy, Dmitry, Tatyana Sandalova, Adnane Achour, et al.. (2025). Accurate Protein Dynamic Conformational Ensembles: Combining AlphaFold, MD, and Amide 15N(1H) NMR Relaxation. International Journal of Molecular Sciences. 26(18). 8917–8917.
3.
Han, Xiao, Dmitry Lesovoy, Daniel Malmodin, et al.. (2024). Insights into mechanisms of MALT1 allostery from NMR and AlphaFold dynamic analyses. Communications Biology. 7(1). 868–868. 2 indexed citations
4.
Qiu, Tianyu, Xiao Han, Dmitry Lesovoy, et al.. (2023). Resolution enhancement of NMR by decoupling with the low-rank Hankel model. Chemical Communications. 59(36). 5475–5478. 1 indexed citations
5.
Djodjic, Faruk, Lars Bergström, Frank Schmieder, et al.. (2023). Soils potentially vulnerable to phosphorus losses: speciation of inorganic and organic phosphorus and estimation of leaching losses. Nutrient Cycling in Agroecosystems. 127(2). 225–245. 8 indexed citations
6.
Agback, Tatiana, Dmitry Lesovoy, Xiao Han, et al.. (2023). Combined NMR and molecular dynamics conformational filter identifies unambiguously dynamic ensembles of Dengue protease NS2B/NS3pro. Communications Biology. 6(1). 1193–1193. 7 indexed citations
7.
Agback, Peter, Dmitry Lesovoy, Xiao Han, et al.. (2022). 1H, 13C and 15N resonance assignment of backbone and IVL-methyl side chain of the S135A mutant NS3pro/NS2B protein of Dengue II virus reveals unique secondary structure features in solution. Biomolecular NMR Assignments. 16(1). 135–145. 4 indexed citations
8.
Han, Xiao, Dmitry Lesovoy, Tatiana Agback, et al.. (2022). NMR spectrum reconstruction as a pattern recognition problem. Journal of Magnetic Resonance. 346. 107342–107342. 15 indexed citations
9.
Han, Xiao, Dmitry Lesovoy, Renhua Sun, et al.. (2022). Assignment of IVL-Methyl side chain of the ligand-free monomeric human MALT1 paracaspase-IgL3 domain in solution. Biomolecular NMR Assignments. 16(2). 363–371. 4 indexed citations
10.
Agback, Peter, Peter E. Prevelige, Todd J. Green, et al.. (2021). NAP1L1 and NAP1L4 Binding to Hypervariable Domain of Chikungunya Virus nsP3 Protein Is Bivalent and Requires Phosphorylation. Journal of Virology. 95(16). e0083621–e0083621. 16 indexed citations
11.
Agback, Peter, Esmeralda Woestenenk, & Tatiana Agback. (2020). Probing contacts of inhibitor locked in transition states in the catalytic triad of DENV2 type serine protease and its mutants by 1H, 19F and 15 N NMR spectroscopy. BMC Molecular and Cell Biology. 21(1). 38–38. 5 indexed citations
12.
Söder, Josefin, Ragnvi Hagman, Johan Dicksved, et al.. (2017). The urine metabolome differs between lean and overweight Labrador Retriever dogs during a feed-challenge. PLoS ONE. 12(6). e0180086–e0180086. 14 indexed citations
13.
Menzel, Carolin, Gulaim A. Seisenbaeva, Peter Agback, et al.. (2017). Wheat starch carbamate: Production, molecular characterization, and film forming properties. Carbohydrate Polymers. 172. 365–373. 23 indexed citations
14.
Malm, Johan, et al.. (2007). Thyroid receptor ligands. Part 7: Indirect antagonists of the thyroid hormone receptor with improved affinity. Bioorganic & Medicinal Chemistry Letters. 17(7). 2018–2021. 8 indexed citations
15.
Agback, Peter, Herbert Baumann, Stefan Knapp, Rudolf Ladenstein, & Torleif Härd. (1998). Architecture of nonspecific protein–DNA interactions in the Sso7d–DNA complex. Nature Structural Biology. 5(7). 579–584. 78 indexed citations
16.
Maltseva, T. V., Peter Agback, М. Н. Репкова, et al.. (1994). The solution structure of a 3′-phenazinium (Pzn) tethered DNA-RNA duplex with a dangling adenosine: r(5′G-AUUGAA3′):d(5TCAATC3′ - Pzn). Nucleic Acids Research. 22(25). 5590–5599. 26 indexed citations
17.
Maltseva, T. V., Peter Agback, & Jyoti Chattopadhyaya. (1993). How Much hydration is necessary for the stabilisation of DNA-duplex?. Nucleic Acids Research. 21(18). 4246–4252. 31 indexed citations
18.
Agback, Peter, et al.. (1993). Solution structure of lariat RNA by 500 MHz NMR spectroscopy and molecular dynamics studies in water. Journal of Biochemical and Biophysical Methods. 27(3). 229–259. 21 indexed citations
19.
Maltseva, T. V., et al.. (1993). Direct estimation of base-pair exchange kinetics in oligo DNA by a combination of NOESY and ROESY experiments. Nucleic Acids Research. 21(18). 4288–4295. 14 indexed citations
20.
Sund, Christian, et al.. (1991). New regiospecific synthesis of branched tetra-, nona- & deca-RNA modelling the lariat formed in RNA splicing reactions. Tetrahedron. 47(32). 6305–6336. 12 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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