Werner Rubas

2.4k total citations
34 papers, 1.8k citations indexed

About

Werner Rubas is a scholar working on Oncology, Molecular Biology and Pharmaceutical Science. According to data from OpenAlex, Werner Rubas has authored 34 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Oncology, 11 papers in Molecular Biology and 8 papers in Pharmaceutical Science. Recurrent topics in Werner Rubas's work include Drug Transport and Resistance Mechanisms (8 papers), Glycosylation and Glycoproteins Research (5 papers) and Cancer Immunotherapy and Biomarkers (5 papers). Werner Rubas is often cited by papers focused on Drug Transport and Resistance Mechanisms (8 papers), Glycosylation and Glycoproteins Research (5 papers) and Cancer Immunotherapy and Biomarkers (5 papers). Werner Rubas collaborates with scholars based in United States, Switzerland and Germany. Werner Rubas's co-authors include Florence Delié, George M. Grass, Hans P. Merkle, Heidi Wunderli‐Allenspach, Mary Cromwell, Pascale Anderle, Peter Langguth, Eva Niederer, Randall J. Mrsny and H. Spahn‐Langguth and has published in prestigious journals such as Journal of Clinical Oncology, Blood and Gastroenterology.

In The Last Decade

Werner Rubas

34 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Werner Rubas United States 18 615 613 407 168 149 34 1.8k
Tuulikki Lindmark Sweden 10 362 0.6× 648 1.1× 902 2.2× 63 0.4× 110 0.7× 14 1.8k
Christopher P. Landowski United States 29 826 1.3× 1.1k 1.8× 233 0.6× 55 0.3× 233 1.6× 44 2.6k
Carsten Uhd Nielsen Denmark 27 950 1.5× 693 1.1× 265 0.7× 52 0.3× 372 2.5× 107 2.1k
Per Artursson Sweden 6 448 0.7× 402 0.7× 412 1.0× 29 0.2× 135 0.9× 8 1.2k
Nicholas L. Simmons United Kingdom 33 979 1.6× 1.0k 1.6× 374 0.9× 310 1.8× 501 3.4× 63 2.9k
Allen R. Hilgers United States 13 604 1.0× 777 1.3× 370 0.9× 22 0.1× 153 1.0× 13 1.6k
George M. Grass United States 21 378 0.6× 391 0.6× 567 1.4× 42 0.3× 115 0.8× 27 1.5k
Anand K. Kondapi India 30 351 0.6× 896 1.5× 130 0.3× 119 0.7× 43 0.3× 79 2.1k
M. Pinto France 12 444 0.7× 1.2k 1.9× 99 0.2× 142 0.8× 77 0.5× 23 2.5k
Noboru Yata Japan 21 201 0.3× 469 0.8× 488 1.2× 48 0.3× 90 0.6× 95 1.3k

Countries citing papers authored by Werner Rubas

Since Specialization
Citations

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

Fields of papers citing papers by Werner Rubas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Werner Rubas

This figure shows the co-authorship network connecting the top 25 collaborators of Werner Rubas. A scholar is included among the top collaborators of Werner Rubas 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 Werner Rubas. Werner Rubas 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
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Charych, Deborah H., Vidula Dixit, Peter Kirk, et al.. (2017). Modeling the receptor pharmacology, pharmacokinetics, and pharmacodynamics of NKTR-214, a kinetically-controlled interleukin-2 (IL2) receptor agonist for cancer immunotherapy. PLoS ONE. 12(7). e0179431–e0179431. 111 indexed citations
3.
Miyazaki, Takahiro, Irene Choi, Werner Rubas, et al.. (2017). NKTR-181: A Novel Mu-Opioid Analgesic with Inherently Low Abuse Potential. Journal of Pharmacology and Experimental Therapeutics. 363(1). 104–113. 37 indexed citations
4.
Gever, Joel R., Robert Henningsen, Renée S. Martin, et al.. (2010). AF‐353, a novel, potent and orally bioavailable P2X3/P2X2/3 receptor antagonist. British Journal of Pharmacology. 160(6). 1387–1398. 108 indexed citations
5.
Wei, Zhicheng, Werner Rubas, Trageen Baumgart, et al.. (2008). MEDI 167-Discovery of the highly potent, selective and orally bioavailable CCR9 antagonist CCX282-B. Oxford University Research Archive (ORA) (University of Oxford). 235. 1 indexed citations
6.
Wei, Zheng, et al.. (2005). Cc chemokine receptor 9 (ccr9) antagonist ameliorates experimental ileitis and colitis. Gastroenterology. 128. 6 indexed citations
7.
Anderle, Pascale, Peter Langguth, Werner Rubas, & Hans P. Merkle. (2002). In Vitro Assessment of Intestinal IGF‐I Stability. Journal of Pharmaceutical Sciences. 91(1). 290–300. 15 indexed citations
8.
Schmidt, Mathias, et al.. (2000). Nasal Epithelial Permeation of Thymotrinan (TP3) Versus Thymocartin (TP4): Competitive Metabolism and Self-Enhancement. Pharmaceutical Research. 17(2). 222–228. 7 indexed citations
9.
10.
Anderle, Pascale, Eva Niederer, Werner Rubas, et al.. (1998). P-Glycoprotein (P-gp) Mediated Efflux in Caco-2 Cell Monolayers: The Influence of Culturing Conditions and Drug Exposure on P-gp Expression Levels. Journal of Pharmaceutical Sciences. 87(6). 757–762. 179 indexed citations
11.
Rubas, Werner, Mary Cromwell, Zahra Shahrokh, et al.. (1996). Flux Measurements across Caco-2 Monolayers May Predict Transport in Human Large Intestinal Tissue. Journal of Pharmaceutical Sciences. 85(2). 165–169. 111 indexed citations
12.
Rubas, Werner, Mary Cromwell, Randall J. Mrsny, Gladys S. Ingle, & Kathleen A. Elias. (1996). An Integrated Method to Determine Epithelial Transport and Bioactivity of Oral Drug Candidates in Vitro. Pharmaceutical Research. 13(1). 23–26. 8 indexed citations
13.
Short, Sarah M., Werner Rubas, Brian D. Paasch, & Randall J. Mrsny. (1995). Transport of biologically active interferon-gamma across human skin in vitro.. Pharmaceutical Research. 12(8). 1140–1145. 15 indexed citations
14.
Rubas, Werner, et al.. (1995). Mechanism of Dextran Transport Across Rabbit Intesi Tissue and a Human Colon Cell-Line (CACO-2). Journal of drug targeting. 3(1). 15–21. 12 indexed citations
15.
Rubas, Werner, et al.. (1993). In Vitro Evaluation of Dexamethasone-β-D-Glucuronide for Colon-Specific Drug Delivery. Pharmaceutical Research. 10(11). 1553–1562. 62 indexed citations
16.
17.
Rubas, Werner, et al.. (1992). Permeability Characteristics of Various Intestinal Regions of Rabbit, Dog, and Monkey. Pharmaceutical Research. 9(12). 1580–1586. 43 indexed citations
18.
Rubas, Werner & Hans Schreier. (1991). Liposomen: Fortschritte in Herstellungs‐Technologie und Therapie. Pharmazie in unserer Zeit. 20(6). 255–270. 5 indexed citations
19.
Supersaxo, A., et al.. (1988). The antitumour effect of lipophilic derivatives of 5-fluoro-2'-deoxyuridine incorporated into liposomes. Journal of Microencapsulation. 5(1). 1–11. 15 indexed citations
20.
Rubas, Werner, A. Supersaxo, H. G. Weder, et al.. (1986). Treatment of murine L1210 lymphoid leukemia and melanoma B16 with lipophilic cytosine arabinoside prodrugs incorporated into unilamellar liposomes. International Journal of Cancer. 37(1). 149–154. 58 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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