Robert M. Straubinger

6.9k citations
134 papers · 6.0k · h-index 43

Impact in

Papers in

    • Cancer Treatment and Pharmacology 19
    • Pancreatic and Hepatic Oncology Research 19
    • Nanoparticle-Based Drug Delivery 27

Robert M. Straubinger

132 papers receiving 5.7k citations

Peers

Robert M. Straubinger
Comparison fields: 5 of 146
  • Biomaterials 1.6k
  • Pharmaceutical Science 410
  • Oncology 1.1k
  • Molecular Biology 3.0k
  • Microbiology 207
Replace Lawrence D. Mayer with:
Lawrence D. Mayer Canada
Hidetaka Akita Japan
Didier Desmaële France
Rodney J. Y. Ho United States
L.D. Mayer Canada
Clemens Unger Germany
Ram I. Mahato United States
Harma M. Ellens United States
Luigi Cattel Italy
Rumiana D. Koynova United States
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Citations per field
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Citations per year

Countries citing papers authored by Robert M. Straubinger

Since Specialization
Citations

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

Fields of papers citing papers by Robert M. Straubinger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert M. Straubinger. 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 Robert M. Straubinger. The network helps show where Robert M. Straubinger may publish in the future.

Co-authors

The 25 scholars most cited alongside Robert M. Straubinger, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Robert M. Straubinger Line = papers co-authored together Robert M. Straubinger links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 134 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1983367
2
Taxol®: science and applications.
1995321
3 1985217
4 1985194
5 1994191
6 1998183
7 2019175
8 1981161
9 1995151
10 1990125
11 1995119
12 2001116
13 2009110
14 1994107
15 1996107
16 2001103
17 1989101
18 200398
19 199683
20 201481

About Robert M. Straubinger

Robert M. Straubinger is a scholar working on Oncology, Biomaterials, Molecular Biology, Spectroscopy and Cancer Research, having authored 134 papers that have together received 6.0k indexed citations. Recurring topics across this work include Nanoparticle-Based Drug Delivery (27 papers), Cancer Treatment and Pharmacology (19 papers), Pancreatic and Hepatic Oncology Research (19 papers), RNA Interference and Gene Delivery (14 papers), Lipid Membrane Structure and Behavior (13 papers), Advanced biosensing and bioanalysis techniques (9 papers), Mass Spectrometry Techniques and Applications (9 papers) and Nanoplatforms for cancer theranostics (8 papers). The work is most often cited by research in Biomaterials (1.6k citations), Pharmaceutical Science (410 citations), Oncology (1.1k citations), Molecular Biology (3.0k citations) and Microbiology (207 citations). Robert M. Straubinger has collaborated with scholars based in United States, Ireland and United Kingdom. Frequent co-authors include Demetrios Papahadjopoulos, Sathyamangalam V. Balasubramanian, Amarnath Sharma, Keelung Hong, Don Mager, Daniel S. Friend, Nejat Düzgüneş, Jun Qu, Yu‐Kyoung Oh and William J. Jusko. Their work appears in journals such as Journal of Pharmaceutical Sciences, Pharmaceutical Research, Cancer Chemotherapy and Pharmacology, Analytical Chemistry and Biochemistry.

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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