Mitchell E. Taub

58 papers receiving 1.7k citations

Peers

Mitchell E. Taub
Comparison fields: 5 of 80
  • Oncology 1k
  • Pharmacology 445
  • Pharmaceutical Science 175
  • Hepatology 55
  • Neurology 35
Replace Daisuke Nakai with:
Daisuke Nakai Japan
Kelly Bleasby United States
Robert A.B. van Waterschoot Netherlands
Cindy Q. Xia United States
Annick Seithel‐Keuth Germany
Yuichi Sugiyama Japan
Yong–Hae Han United States
Jurjen S. Lagas Netherlands
Maria Karlgren Sweden
Hidetaka Kamimura Japan
Mitchell E. Taub relative to Daisuke Nakai Japan Daisuke Nakai's profile →
Citations per field
00.5×1.5×1.9×
Daisuke Nakai · 1×
Citations per year

Countries citing papers authored by Mitchell E. Taub

Since Specialization
Citations

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

Fields of papers citing papers by Mitchell E. Taub

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mitchell E. Taub. 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 Mitchell E. Taub. The network helps show where Mitchell E. Taub may publish in the future.

Co-authors

The 25 scholars most cited alongside Mitchell E. Taub, 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 Mitchell E. Taub Line = papers co-authored together Mitchell E. Taub links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018185
2 2013168
3 2013134
4 2015119
5 2005109
6 201670
7 201269
8 201163
9 201363
10 201561
11 200160
12 200259
13 199255
14 202046
15 201841
16 201337
17 201432
18 201430
19 201730
20 202027

About Mitchell E. Taub

Mitchell E. Taub is a scholar working on Pharmacology, Oncology, Pharmaceutical Science, Biochemistry and Hepatology, having authored 64 papers that have together received 1.8k indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (33 papers), Pharmacogenetics and Drug Metabolism (22 papers), Drug Solubulity and Delivery Systems (8 papers), Amino Acid Enzymes and Metabolism (4 papers), Advanced Drug Delivery Systems (4 papers), Nanoparticle-Based Drug Delivery (3 papers), Cellular transport and secretion (3 papers) and Hepatitis C virus research (2 papers). The work is most often cited by research in Oncology (1k citations), Pharmacology (445 citations), Pharmaceutical Science (175 citations), Hepatology (55 citations) and Neurology (35 citations). Mitchell E. Taub has collaborated with scholars based in United States, Germany and Japan. Frequent co-authors include Lalitha Podila, Sven Frøkjær, Thomas Ebner, Maciej J. Zamek‐Gliszczynski, Rucha S Sane, Harma M. Ellens, Bente Steffansen, Wei‐Chiang Shen, Xiaoyan Chu and Naoki Ishiguro. Their work appears in journals such as Drug Metabolism and Disposition, Pharmaceutical Research, Journal of Pharmaceutical Sciences, Clinical Pharmacology & Therapeutics and International Journal of Pharmaceutics.

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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