Brian E. Schwartz
Impact in
- Molecular Biology top 5%
- Protein Degradation and Inhibitors
- Genomics and Chromatin Dynamics
- Ubiquitin and proteasome pathways
- Epigenetics and DNA Methylation
- RNA Research and Splicing
- RNA modifications and cancer
- Cancer-related gene regulation
- Hematology top 5%
- Multiple Myeloma Research and Treatments
Papers in
-
- Genomics and Chromatin Dynamics 5
- Protein Degradation and Inhibitors 3
- RNA Research and Splicing 3
- DNA Repair Mechanisms 2
- Ubiquitin and proteasome pathways 2
- Heat shock proteins research 2
-
- Chromosomal and Genetic Variations 2
- Co-authors
- Kami Ahmad (3 shared papers)John T. Lis (3 shared papers)Janis Werner (2 shared papers)Christopher A. French (3 shared papers)Zhuoyu Ni (1 shared paper)A. Sakai (1 shared paper)Jon C. Aster (2 shared papers)Michael J. Cameron (2 shared papers)
- Journals
- Cancer Research (2 papers)Methods in enzymology on CD-ROM/Methods in enzymology (1 paper)Current Biology (1 paper)Current topics in developmental biology (1 paper)Genes & Development (1 paper)
- Partner nations
- United StatesFranceJapan
In The Last Decade
Brian E. Schwartz
12 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 61
- Molecular Biology 1.3k
- Hematology 197
- Aging 22
- Oncology 235
- Cancer Research 103
Countries citing papers authored by Brian E. Schwartz
This map shows the geographic impact of Brian E. Schwartz'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 Brian E. Schwartz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian E. Schwartz more than expected).
Fields of papers citing papers by Brian E. Schwartz
This network shows the impact of papers produced by Brian E. Schwartz. 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 Brian E. Schwartz. The network helps show where Brian E. Schwartz may publish in the future.
Co-authors
The 25 scholars most cited alongside Brian E. Schwartz, 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 | 2009 | 323 | |
| 2 | 2005 | 266 | |
| 3 | 2004 | 211 | |
| 4 | 2011 | 163 | |
| 5 | 2010 | 146 | |
| 6 | 2009 | 141 | |
| 7 | 2012 | 92 | |
| 8 | 2017 | 77 | |
| 9 | 2003 | 54 | |
| 10 | 2003 | 24 | |
| 11 | 2022 | 8 | |
| 12 | 2006 | 7 |
About Brian E. Schwartz
Brian E. Schwartz is a scholar working on Molecular Biology, Plant Science, Genetics, Hematology and Oncology, having authored 12 papers that have together received 1.5k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (5 papers), Protein Degradation and Inhibitors (3 papers), RNA Research and Splicing (3 papers), DNA Repair Mechanisms (2 papers), Ubiquitin and proteasome pathways (2 papers), Heat shock proteins research (2 papers), Multiple Myeloma Research and Treatments (2 papers) and Chromosomal and Genetic Variations (2 papers). The work is most often cited by research in Molecular Biology (1.3k citations), Hematology (197 citations), Aging (22 citations), Oncology (235 citations) and Cancer Research (103 citations). Brian E. Schwartz has collaborated with scholars based in United States, France and Japan. Frequent co-authors include Kami Ahmad, John T. Lis, Janis Werner, Christopher A. French, Zhuoyu Ni, A. Sakai, Jon C. Aster, Michael J. Cameron, Mei‐Yu Hsu and Chiou-Yan Lai. Their work appears in journals such as Cancer Research, Methods in enzymology on CD-ROM/Methods in enzymology, Current Biology, Current topics in developmental biology and Genes & Development.
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.