Jochen Maas

15 papers receiving 1.7k citations

Jochen Maas's Hit Papers

Proteasome inhibitors: a novel class of potent and effective antitumor agents. 1999 · 1.3k citations
1.3k0+9+18Years since publication4008001.2k

Peers

Jochen Maas
Comparison fields: 5 of 95
  • Hematology 235
  • Pharmacology 135
  • Molecular Biology 667
  • Drug Discovery 3
  • Cancer Research 107
Replace Kenneth S. Bauer with:
Kenneth S. Bauer United States
Rahman A Jamal Malaysia
Federica Saletta Australia
Uma Yasothan United States
Chunli Yan United States
Yoshiro Kobayashi Japan
Jean‐Pierre Jaffrézou France
Kenji Kawai Japan
Arun Kumar Trivedi India
Lili Sun China
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Countries citing papers authored by Jochen Maas

Since Specialization
Citations

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

Fields of papers citing papers by Jochen Maas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1
Proteasome inhibitors: a novel class of potent and effective antitumor agents.
Hit paper breakdown →
19991250
2 2003227
3 199797
4 200654
5 199831
6 200227
7 200023
8 200618
9 200014
10 200213
11 20199
12 20242
13 20021
14 20101
15 20181

About Jochen Maas

Jochen Maas is a scholar working on Pharmacology, Pharmaceutical Science, Radiation, Health Informatics and Radiological and Ultrasound Technology, having authored 15 papers that have together received 1.8k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (3 papers), Radiopharmaceutical Chemistry and Applications (2 papers), Radioactive Decay and Measurement Techniques (2 papers), Drug Solubulity and Delivery Systems (1 paper), Artificial Intelligence in Healthcare and Education (1 paper), Biotechnology and Related Fields (1 paper), Nanoparticle-Based Drug Delivery (1 paper) and Public-Private Partnership Projects (1 paper). The work is most often cited by research in Hematology (235 citations), Pharmacology (135 citations), Molecular Biology (667 citations), Drug Discovery (3 citations) and Cancer Research (107 citations). Jochen Maas has collaborated with scholars based in Germany, France and Switzerland. Frequent co-authors include J I Johnson, Antonia T. Destree, Edward A. Sausville, Christine S. Pien, Julian Adams, Peter J. Elliott, Douglas D. Lazarus, Vito J. Palombella, Andreas W. Herling and Karl Seeger. Their work appears in journals such as Regulatory Toxicology and Pharmacology, Clinical Pharmacology & Therapeutics, European Journal of Pharmaceutics and Biopharmaceutics, Journal of drug targeting and EMBO Molecular Medicine.

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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