Raitis Bobrovs

552 total citations
34 papers, 362 citations indexed

About

Raitis Bobrovs is a scholar working on Molecular Biology, Materials Chemistry and Physical and Theoretical Chemistry. According to data from OpenAlex, Raitis Bobrovs has authored 34 papers receiving a total of 362 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 13 papers in Materials Chemistry and 9 papers in Physical and Theoretical Chemistry. Recurrent topics in Raitis Bobrovs's work include Crystallization and Solubility Studies (10 papers), Crystallography and molecular interactions (9 papers) and Malaria Research and Control (6 papers). Raitis Bobrovs is often cited by papers focused on Crystallization and Solubility Studies (10 papers), Crystallography and molecular interactions (9 papers) and Malaria Research and Control (6 papers). Raitis Bobrovs collaborates with scholars based in Latvia, United Kingdom and United States. Raitis Bobrovs's co-authors include Kristaps Jaudzems, Linda Seton, Aigars Jirgensons, Andris Actiņš, Nicola M. Dempster, I. Kanepe, Solveiga Grı̄nberga, Anna Ramata‐Stunda, Kaspars Tārs and Nils Rostoks and has published in prestigious journals such as Journal of the American Chemical Society, Nature Communications and PLoS ONE.

In The Last Decade

Raitis Bobrovs

33 papers receiving 358 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Raitis Bobrovs Latvia 11 134 124 70 66 53 34 362
Ondrej Gutten Czechia 10 131 1.0× 91 0.7× 34 0.5× 39 0.6× 67 1.3× 17 393
Fang-Yu Lin United States 7 161 1.2× 59 0.5× 38 0.5× 125 1.9× 77 1.5× 7 412
Martin Nervall Sweden 11 469 3.5× 87 0.7× 29 0.4× 161 2.4× 30 0.6× 11 687
Clemens Rauer United Kingdom 10 430 3.2× 152 1.2× 104 1.5× 54 0.8× 76 1.4× 14 698
Diego González Cabrera South Africa 13 144 1.1× 111 0.9× 52 0.7× 90 1.4× 48 0.9× 17 593
Eric T. Mack United States 10 407 3.0× 91 0.7× 96 1.4× 75 1.1× 15 0.3× 13 622
Victor A. Mikhailov United Kingdom 12 240 1.8× 64 0.5× 50 0.7× 76 1.2× 69 1.3× 18 584
Maxim O. Platonov Ukraine 15 319 2.4× 48 0.4× 30 0.4× 26 0.4× 90 1.7× 47 676
Zuojun Guo United States 8 286 2.1× 176 1.4× 18 0.3× 106 1.6× 23 0.4× 9 617
Stephen Suresh United States 9 202 1.5× 87 0.7× 60 0.9× 19 0.3× 39 0.7× 9 375

Countries citing papers authored by Raitis Bobrovs

Since Specialization
Citations

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

Fields of papers citing papers by Raitis Bobrovs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Raitis Bobrovs

This figure shows the co-authorship network connecting the top 25 collaborators of Raitis Bobrovs. A scholar is included among the top collaborators of Raitis Bobrovs 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 Raitis Bobrovs. Raitis Bobrovs 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.
Kalnins, G., et al.. (2024). Structural Basis for Inhibition of the SARS‐CoV‐2 nsp16 by Substrate‐Based Dual Site Inhibitors. ChemMedChem. 19(24). e202400618–e202400618.
2.
Bobrovs, Raitis, Žilvinas Dambrauskas, Antanas Gulbinas, et al.. (2024). Discovery and optimisation of pyrazolo[1,5-a]pyrimidines as aryl hydrocarbon receptor antagonists. RSC Medicinal Chemistry. 15(10). 3477–3484. 2 indexed citations
3.
4.
Bobrovs, Raitis, et al.. (2024). Fifteen Solid Solutions of Four Thioxanthone Halogen Derivatives: Structures, Miscibility Limits, and Luminescence. Crystal Growth & Design. 24(18). 7677–7685. 1 indexed citations
5.
Renn, Alois, et al.. (2023). Ultrafast Fragment Screening Using Photo-Hyperpolarized (CIDNP) NMR. Journal of the American Chemical Society. 145(22). 12066–12080. 31 indexed citations
6.
Bobrovs, Raitis, et al.. (2023). Exploration of 3,4-unsubstituted coumarins as thioredoxin reductase 1 inhibitors for cancer therapy. Organic & Biomolecular Chemistry. 21(48). 9630–9639. 2 indexed citations
7.
Bobrovs, Raitis, I. Kanepe, Anna Ramata‐Stunda, et al.. (2023). 3-(Adenosylthio)benzoic Acid Derivatives as SARS-CoV-2 Nsp14 Methyltransferase Inhibitors. Molecules. 28(2). 768–768. 16 indexed citations
8.
Bobrovs, Raitis, et al.. (2022). Exploring Aspartic Protease Inhibitor Binding to Design Selective Antimalarials. Journal of Chemical Information and Modeling. 62(13). 3263–3273. 1 indexed citations
9.
Šneideris, Tomas, et al.. (2021). Aggregation Condition–Structure Relationship of Mouse Prion Protein Fibrils. International Journal of Molecular Sciences. 22(17). 9635–9635. 4 indexed citations
10.
Bobrovs, Raitis, et al.. (2020). Polymorph-Selective Role of Hydrogen Bonding and π–π Stacking in p -Aminobenzoic Acid Solutions. Crystal Growth & Design. 21(1). 436–448. 22 indexed citations
11.
Veliks, Janis, et al.. (2020). trans-Fluorine Effect in Cyclopropane: Diastereoselective Synthesis of Fluorocyclopropyl Cabozantinib Analogs. ACS Medicinal Chemistry Letters. 11(11). 2146–2150. 7 indexed citations
12.
Bobrovs, Raitis, Kristaps Jaudzems, & Aigars Jirgensons. (2019). Exploiting Structural Dynamics To Design Open-Flap Inhibitors of Malarial Aspartic Proteases. Journal of Medicinal Chemistry. 62(20). 8931–8950. 17 indexed citations
13.
Bobrovs, Raitis, et al.. (2018). Azole‐based non‐peptidomimetic plasmepsin inhibitors. Archiv der Pharmazie. 351(9). e1800151–e1800151. 7 indexed citations
14.
Rasiņa, Dace, et al.. (2018). 2-Aminoquinazolin-4(3H)-One Based Plasmepsin Inhibitors with Improved Hydrophilicity and Selectivity. publication.editionName. 2488–2500. 1 indexed citations
15.
Withers‐Martinez, Chrislaine, Michael J. Blackman, Raitis Bobrovs, et al.. (2018). Peptidomimetic plasmepsin inhibitors with potent anti-malarial activity and selectivity against cathepsin D. European Journal of Medicinal Chemistry. 163. 344–352. 20 indexed citations
16.
Rasiņa, Dace, Raitis Bobrovs, I. Kanepe, et al.. (2018). 2-Aminoquinazolin-4(3H)-one based plasmepsin inhibitors with improved hydrophilicity and selectivity. Bioorganic & Medicinal Chemistry. 26(9). 2488–2500. 9 indexed citations
17.
Bobrovs, Raitis & Andris Actiņš. (2013). Organic solvent desorption from two tegafur polymorphs. International Journal of Pharmaceutics. 457(1). 110–117. 1 indexed citations
18.
Bobrovs, Raitis, et al.. (2013). Organic solvent vapor effects on phase transition of α and β tegafur upon grinding with solvent additives. International Journal of Pharmaceutics. 443(1-2). 193–198. 1 indexed citations
19.
Bobrovs, Raitis & Andris Actiņš. (2012). Optimization of Sample Preparation Conditions for Detecting Trace Amounts of β-Tegafur in α- and β-Tegafur Mixture. Journal of Pharmaceutical Sciences. 101(12). 4608–4614. 2 indexed citations
20.
Bobrovs, Raitis, et al.. (2011). Organic solvents vapor pressure and relative humidity effects on the phase transition rate of α and β forms of tegafur. Pharmaceutical Development and Technology. 17(5). 625–631. 5 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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