Roman Shimanovich

963 total citations
8 papers, 382 citations indexed

About

Roman Shimanovich is a scholar working on Physiology, Molecular Biology and Endocrine and Autonomic Systems. According to data from OpenAlex, Roman Shimanovich has authored 8 papers receiving a total of 382 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Physiology, 2 papers in Molecular Biology and 2 papers in Endocrine and Autonomic Systems. Recurrent topics in Roman Shimanovich's work include Nitric Oxide and Endothelin Effects (3 papers), Neuroscience of respiration and sleep (2 papers) and Adenosine and Purinergic Signaling (1 paper). Roman Shimanovich is often cited by papers focused on Nitric Oxide and Endothelin Effects (3 papers), Neuroscience of respiration and sleep (2 papers) and Adenosine and Purinergic Signaling (1 paper). Roman Shimanovich collaborates with scholars based in United States. Roman Shimanovich's co-authors include John T. Groves, James Bourassa, Ann L. Marqueling, László Virág, John H. van Duzer, William G. Williams, Andrew L. Salzman, Francisco García Soriano, Pál Pacher and Jon G. Mabley and has published in prestigious journals such as Journal of the American Chemical Society, Cancer Research and Archives of Biochemistry and Biophysics.

In The Last Decade

Roman Shimanovich

8 papers receiving 373 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Roman Shimanovich United States 6 157 105 75 63 54 8 382
Mieczysław Puchała Poland 15 121 0.8× 190 1.8× 76 1.0× 126 2.0× 24 0.4× 35 581
Suchandra Bhattacharjee United States 14 62 0.4× 181 1.7× 28 0.4× 54 0.9× 83 1.5× 27 461
Tapan Kumar Kundu United States 11 294 1.9× 163 1.6× 93 1.2× 41 0.7× 28 0.5× 16 591
Raffaella Roncone Italy 13 138 0.9× 207 2.0× 130 1.7× 30 0.5× 53 1.0× 16 397
S Gebicki Australia 6 157 1.0× 413 3.9× 65 0.9× 23 0.4× 38 0.7× 8 741
Sandra Gomez-Mejiba Argentina 16 169 1.1× 282 2.7× 35 0.5× 61 1.0× 32 0.6× 33 729
Nicolás Campolo Uruguay 6 212 1.4× 220 2.1× 31 0.4× 84 1.3× 15 0.3× 9 628
Marta Wrona United Kingdom 10 81 0.5× 300 2.9× 26 0.3× 57 0.9× 16 0.3× 10 686
Julianne A. Hunt United States 8 136 0.9× 141 1.3× 63 0.8× 102 1.6× 108 2.0× 10 429
Wee Siong Chew Singapore 14 148 0.9× 388 3.7× 61 0.8× 27 0.4× 31 0.6× 22 586

Countries citing papers authored by Roman Shimanovich

Since Specialization
Citations

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

Fields of papers citing papers by Roman Shimanovich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Roman Shimanovich

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

All Works

8 of 8 papers shown
1.
Wang, Hui, Christian Atsriku, Andrew T. Placzek, et al.. (2025). Abstract 4376: Preclinical characterization of SGR-4174, a potent and selective SOS1 inhibitor for the treatment of pan KRAS mutant cancers in combination with KRAS pathway inhibitors. Cancer Research. 85(8_Supplement_1). 4376–4376. 1 indexed citations
2.
Milgram, Benjamin C., R. Foti, Thomas Kornecook, et al.. (2022). Discovery of pyridyl urea sulfonamide inhibitors of NaV1.7. Bioorganic & Medicinal Chemistry Letters. 73. 128892–128892. 1 indexed citations
3.
Agarwal, Prashant, et al.. (2020). Structural characterization and developability assessment of sustained release hydrogels for rapid implementation during preclinical studies. European Journal of Pharmaceutical Sciences. 158. 105689–105689. 18 indexed citations
4.
Kleinman, Mark H., Steven W. Baertschi, Karen M. Alsante, et al.. (2014). In Silico Prediction of Pharmaceutical Degradation Pathways: A Benchmarking Study. Molecular Pharmaceutics. 11(11). 4179–4188. 35 indexed citations
5.
Shimanovich, Roman, Melanie Cooke, & Matthew L. Peterson. (2012). A rapid approach to the preliminary assessment of the physical stability of pharmaceutical hydrates. Journal of Pharmaceutical Sciences. 101(10). 4013–4017. 13 indexed citations
6.
Szabó, Csaba, Jon G. Mabley, Roman Shimanovich, et al.. (2002). Part I: Pathogenetic Role of Peroxynitrite in the Development of Diabetes and Diabetic Vascular Complications: Studies With FP15, A Novel Potent Peroxynitrite Decomposition Catalyst. Molecular Medicine. 8(10). 571–580. 157 indexed citations
7.
Shimanovich, Roman & John T. Groves. (2001). Mechanisms of Peroxynitrite Decomposition Catalyzed by FeTMPS, a Bioactive Sulfonated Iron Porphyrin. Archives of Biochemistry and Biophysics. 387(2). 307–317. 78 indexed citations
8.
Bourassa, James, et al.. (2001). Myoglobin Catalyzes Its Own Nitration. Journal of the American Chemical Society. 123(21). 5142–5143. 79 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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2026