Gus R. Rosania

2.4k total citations · 1 hit paper
68 papers, 1.9k citations indexed

About

Gus R. Rosania is a scholar working on Molecular Biology, Oncology and Physiology. According to data from OpenAlex, Gus R. Rosania has authored 68 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 18 papers in Oncology and 14 papers in Physiology. Recurrent topics in Gus R. Rosania's work include Drug Transport and Resistance Mechanisms (17 papers), Computational Drug Discovery Methods (9 papers) and Erythrocyte Function and Pathophysiology (7 papers). Gus R. Rosania is often cited by papers focused on Drug Transport and Resistance Mechanisms (17 papers), Computational Drug Discovery Methods (9 papers) and Erythrocyte Function and Pathophysiology (7 papers). Gus R. Rosania collaborates with scholars based in United States, United Kingdom and Netherlands. Gus R. Rosania's co-authors include Kathleen A. Stringer, Xinyuan Zhang, Rahul K. Keswani, Kerby Shedden, Nan Zheng, Richard W. Horobin, Stefan Trapp, Johannes Kornhuber, Young‐Tae Chang and Kyoung Ah Min and has published in prestigious journals such as Angewandte Chemie International Edition, ACS Nano and PLoS ONE.

In The Last Decade

Gus R. Rosania

67 papers receiving 1.9k citations

Hit Papers

L-Carnitine and Acylcarnitines: Mitochondrial Biomarkers ... 2021 2026 2022 2024 2021 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gus R. Rosania United States 22 784 287 225 208 206 68 1.9k
Wenqiang Cao China 27 789 1.0× 428 1.5× 192 0.9× 184 0.9× 144 0.7× 47 2.1k
Jui‐Hsiang Hung Taiwan 29 1.1k 1.4× 249 0.9× 98 0.4× 271 1.3× 310 1.5× 76 2.7k
Margaret Lee United States 20 1.3k 1.7× 320 1.1× 252 1.1× 282 1.4× 94 0.5× 56 2.6k
Antonio Pineda‐Lucena Spain 34 2.3k 2.9× 419 1.5× 130 0.6× 242 1.2× 198 1.0× 127 3.3k
Adam Yasgar United States 25 1.4k 1.8× 286 1.0× 144 0.6× 116 0.6× 138 0.7× 51 2.4k
Tao Jiang China 27 1.2k 1.5× 370 1.3× 79 0.4× 164 0.8× 163 0.8× 167 2.5k
Jochem Alsenz Switzerland 29 731 0.9× 458 1.6× 179 0.8× 399 1.9× 79 0.4× 52 2.7k
Petr Džubák Czechia 28 2.1k 2.7× 466 1.6× 109 0.5× 114 0.5× 166 0.8× 157 3.5k
Alberto Del Río Italy 29 1.6k 2.0× 411 1.4× 146 0.6× 221 1.1× 189 0.9× 78 2.9k
Yun He China 36 1.5k 2.0× 220 0.8× 282 1.3× 347 1.7× 141 0.7× 185 4.2k

Countries citing papers authored by Gus R. Rosania

Since Specialization
Citations

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

Fields of papers citing papers by Gus R. Rosania

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gus R. Rosania. 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 Gus R. Rosania. The network helps show where Gus R. Rosania may publish in the future.

Co-authorship network of co-authors of Gus R. Rosania

This figure shows the co-authorship network connecting the top 25 collaborators of Gus R. Rosania. A scholar is included among the top collaborators of Gus R. Rosania 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 Gus R. Rosania. Gus R. Rosania 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.
Stringer, Kathleen A., et al.. (2023). Distinguishing the Concentration- vs. Bioaccumulation-Dependent Immunological and Metabolic Effects of Clofazimine. Pharmaceutics. 15(9). 2350–2350.
2.
Stringer, Kathleen A., et al.. (2023). Clofazimine-Mediated, Age-Related Changes in Skeletal Muscle Mitochondrial Metabolites. Metabolites. 13(5). 671–671. 1 indexed citations
3.
Smith, Doug, et al.. (2023). Quantitative Raman chemical imaging of intracellular drug-membrane aggregates and small molecule drug precipitates in cytoplasmic organelles. Advanced Drug Delivery Reviews. 202. 115107–115107. 2 indexed citations
4.
Rosania, Gus R., et al.. (2021). L-Carnitine and Acylcarnitines: Mitochondrial Biomarkers for Precision Medicine. Metabolites. 11(1). 51–51. 200 indexed citations breakdown →
5.
Keswani, Rahul K., et al.. (2019). Acoustic tweezing cytometry for mechanical phenotyping of macrophages and mechanopharmaceutical cytotripsy. Scientific Reports. 9(1). 5702–5702. 10 indexed citations
6.
Rosania, Gus R., et al.. (2019). Photoacoustic imaging of clofazimine hydrochloride nanoparticle accumulation in cancerous vs normal prostates. PLoS ONE. 14(7). e0219655–e0219655. 3 indexed citations
7.
Keswani, Rahul K., et al.. (2018). An Expandable Mechanopharmaceutical Device (1): Measuring the Cargo Capacity of Macrophages in a Living Organism. Pharmaceutical Research. 36(1). 12–12. 11 indexed citations
8.
Keswani, Rahul K., et al.. (2018). Reverse Engineering the Intracellular Self-Assembly of a Functional Mechanopharmaceutical Device. Scientific Reports. 8(1). 2934–2934. 14 indexed citations
9.
Rosania, Gus R., et al.. (2017). The physiological determinants of drug-induced lysosomal stress resistance. PLoS ONE. 12(11). e0187627–e0187627. 7 indexed citations
10.
Keswani, Rahul K., et al.. (2017). Elasticity in Macrophage‐Synthesized Biocrystals. Angewandte Chemie. 129(7). 1841–1845. 16 indexed citations
11.
Keswani, Rahul K., Chao Tian, Tyler Peryea, et al.. (2016). Repositioning Clofazimine as a Macrophage-Targeting Photoacoustic Contrast Agent. Scientific Reports. 6(1). 23528–23528. 29 indexed citations
12.
Rosania, Gus R., Kerby Shedden, Nan Zheng, & Xinyuan Zhang. (2013). Visualizing chemical structure-subcellular localization relationships using fluorescent small molecules as probes of cellular transport. Journal of Cheminformatics. 5(1). 44–44. 6 indexed citations
13.
Min, Kyoung Ah, Arjang Talattof, Yasuhiro Tsume, et al.. (2013). The Extracellular Microenvironment Explains Variations in Passive Drug Transport Across Different Airway Epithelial Cell Types. Pharmaceutical Research. 30(8). 2118–2132. 9 indexed citations
14.
Suresh, Madathilparambil V., Gus R. Rosania, Kathleen A. Stringer, et al.. (2012). Pulmonary Administration of a Water-Soluble Curcumin Complex Reduces Severity of Acute Lung Injury. American Journal of Respiratory Cell and Molecular Biology. 47(3). 280–287. 42 indexed citations
15.
Li, Ye, et al.. (2011). Image-to-Structure Task by ChemReader.. Text REtrieval Conference. 1 indexed citations
16.
Saitou, Kazuhiro, et al.. (2010). Image-based automated chemical database annotation with ensemble of machine-vision classifiers. Deep Blue (University of Michigan). 2 indexed citations
17.
Shedden, Kerby, et al.. (2009). Machine vision‐assisted analysis of structure‐localization relationships in a combinatorial library of prospective bioimaging probes. Cytometry Part A. 75A(6). 482–493. 7 indexed citations
18.
Rosania, Gus R., et al.. (2009). Tunable Machine Vision-Based Strategy for Automated Annotation of Chemical Databases. Journal of Chemical Information and Modeling. 49(8). 1993–2001. 7 indexed citations
19.
Zhang, Xinyuan, Nan Zheng, & Gus R. Rosania. (2008). Simulation-based cheminformatic analysis of organelle-targeted molecules: lysosomotropic monobasic amines. Journal of Computer-Aided Molecular Design. 22(9). 629–645. 11 indexed citations
20.
Rosania, Gus R., Gordon M. Crippen, Peter Woolf, David States, & Kerby Shedden. (2007). A Cheminformatic Toolkit for Mining Biomedical Knowledge. Pharmaceutical Research. 24(10). 1791–1802. 17 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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