Jochen Maas

20 papers receiving 1.9k citations

Jochen Maas's Hit Papers

Proteasome inhibitors: a novel class of potent and effective antitumor agents. 1999 · 1.2k citations
1.2k0+9+18Years since publication4008001.2k

Peers

Jochen Maas
Comparison fields: 5 of 125
  • Hematology 306
  • Oncology 510
  • Molecular Biology 1.1k
  • Pharmacology 123
  • Hepatology 86
Replace Masaki Hiramoto with:
Masaki Hiramoto Japan
Dona Alberti United States
Carlo Rumi Italy
Richard M. Lush United States
Sukyung Woo United States
H J Broxterman Netherlands
Isrid Sturm Germany
Yasuyoshi Miyata Japan
Maryanne Covington United States
Takashi Watanabe Japan
Jochen Maas relative to Masaki Hiramoto Japan Masaki Hiramoto's profile →
Citations per field
00.5×3.4×
Masaki Hiramoto · 1×
Citations per year

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

20 of 20 papers shown
#Work
1
Proteasome inhibitors: a novel class of potent and effective antitumor agents.
Hit paper breakdown →
19991240
2 2003216
3 199797
4 201386
5 200675
6 200653
7 200639
8 199831
9 200227
10 200022
11 200618
12 200014
13 200213
14 20199
15
Jackknife stability of a tractor semi-trailer combination
20075
16 19885
17 20124
18 20241
19 20101
20 20181

About Jochen Maas

Jochen Maas is a scholar working on Pharmacology, Pharmaceutical Science, Oncology, Radiology, Nuclear Medicine and Imaging and Surgery, having authored 20 papers that have together received 2.0k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (5 papers), Drug Transport and Resistance Mechanisms (2 papers), Radiation Dose and Imaging (2 papers), Chemical Reactions and Isotopes (2 papers), Pharmaceutical studies and practices (2 papers), Diet and metabolism studies (2 papers), Cardiac electrophysiology and arrhythmias (1 paper) and Ubiquitin and proteasome pathways (1 paper). The work is most often cited by research in Hematology (306 citations), Oncology (510 citations), Molecular Biology (1.1k citations), Pharmacology (123 citations) and Hepatology (86 citations). Jochen Maas has collaborated with scholars based in Germany, France and United States. Frequent co-authors include Douglas Lazarus, J I Johnson, Julian Adams, Vito J. Palombella, Christine Pien, Edward A. Sausville, Antonia T. Destree, Peter J. Elliott, Andreas W. Herling and Karl Seeger. Their work appears in journals such as Regulatory Toxicology and Pharmacology, Drug Metabolism Reviews, Biochimica et Biophysica Acta (BBA) - General Subjects, Journal of drug targeting and Handbook of experimental pharmacology.

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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