J I Johnson
Impact in
- Hematology top 2%
- Multiple Myeloma Research and Treatments
- Oncology top 5%
- Cancer-related Molecular Pathways
- Peptidase Inhibition and Analysis
- Cancer Cells and Metastasis
Papers in
- Oncology 4
- Cancer-related Molecular Pathways 2
- Cancer Treatment and Pharmacology 1
-
- ATP Synthase and ATPases Research 1
- Co-authors
- Edward A. Sausville (4 shared papers)Jochen Maas (1 shared paper)Christine Pien (1 shared paper)Antonia T. Destree (1 shared paper)Vito J. Palombella (1 shared paper)Douglas Lazarus (1 shared paper)Julian Adams (1 shared paper)Peter J. Elliott (1 shared paper)
- Journals
- British Journal of Cancer (2 papers)Investigational New Drugs (1 paper)Annals of the New York Academy of Sciences (1 paper)Journal of Medicinal Chemistry (1 paper)PubMed (2 papers)
- Partner nations
- United StatesMalaysia
In The Last Decade
J I Johnson
7 papers receiving 2.0k citations
J I Johnson's Hit Papers
Peers
Comparison fields: 5 of 92
- Hematology 359
- Oncology 853
- Cancer Research 316
- Molecular Biology 1.3k
- Biotechnology 134
Countries citing papers authored by J I Johnson
This map shows the geographic impact of J I Johnson'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 J I Johnson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J I Johnson more than expected).
Fields of papers citing papers by J I Johnson
This network shows the impact of papers produced by J I Johnson. 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 J I Johnson. The network helps show where J I Johnson may publish in the future.
Co-authors
The 25 scholars most cited alongside J I Johnson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Proteasome inhibitors: a novel class of potent and effective antitumor agents. Hit paper breakdown → | 1999 | 1188 |
| 2 | Relationships between drug activity in NCI preclinical in vitro and in vivo models and early clinical trials Hit paper breakdown → | 2001 | 621 |
| 3 | 2000 | 66 | |
| 4 | 1993 | 46 | |
| 5 | Cell line-directed screening assay for inhibitors of thioredoxin reductase signaling as potential anti-cancer drugs. | 1997 | 46 |
| 6 | 2001 | 38 | |
| 7 | 2000 | 16 |
About J I Johnson
J I Johnson is a scholar working on Oncology, Molecular Biology, Pharmacology, Neurology and Pediatrics, Perinatology and Child Health, having authored 7 papers that have together received 2.0k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (2 papers), Neuroblastoma Research and Treatments (1 paper), Cancer Treatment and Pharmacology (1 paper), Fungal Plant Pathogen Control (1 paper), Cancer, Hypoxia, and Metabolism (1 paper), Computational Drug Discovery Methods (1 paper), Microbial Natural Products and Biosynthesis (1 paper) and ATP Synthase and ATPases Research (1 paper). The work is most often cited by research in Hematology (359 citations), Oncology (853 citations), Cancer Research (316 citations), Molecular Biology (1.3k citations) and Biotechnology (134 citations). J I Johnson has collaborated with scholars based in United States and Malaysia. Frequent co-authors include Edward A. Sausville, Jochen Maas, Christine Pien, Antonia T. Destree, Vito J. Palombella, Douglas Lazarus, Julian Adams, Peter J. Elliott, Daniel Zaharevitz and Michaele C. Christian. Their work appears in journals such as British Journal of Cancer, Investigational New Drugs, Annals of the New York Academy of Sciences, Journal of Medicinal Chemistry and PubMed.
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.