Todd R. Golub
- Cancer Research top 0.01%
- Cancer Genomics and Diagnostics 28
- MicroRNA in disease regulation 17
- Cancer-related molecular mechanisms research 17
- Molecular Biology top 0.01%
- Gene expression and cancer classification 22
- RNA modifications and cancer 20
- Molecular Biology Techniques and Applications 17
- Hematology top 0.02%
- Acute Myeloid Leukemia Research 28
- Chronic Myeloid Leukemia Treatments 18
- Oncology top 0.02%
- Genetics top 0.05%
- Co-authors
- Eric S. LanderPablo TamayoJill P. MesirovBenjamin L. EbertAravind SubramanianVamsi K. MoothaSayan MukherjeeMichael A. Gillette
- Partner nations
- United StatesCanadaGermany
In The Last Decade
Todd R. Golub
221 papers receiving 111.8k citations
Hit Papers
Peers
Comparison fields: 5 of 220
- Cancer Research 27.5k
- Molecular Biology 77.0k
- Hematology 8.9k
- Oncology 18.8k
- Genetics 6.4k
Countries citing papers authored by Todd R. Golub
This map shows the geographic impact of Todd R. Golub'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 Todd R. Golub with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Todd R. Golub more than expected).
Fields of papers citing papers by Todd R. Golub
This network shows the impact of papers produced by Todd R. Golub. 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 Todd R. Golub. The network helps show where Todd R. Golub may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Todd R. Golub, 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 | 2022 | 19 | |
| 2 | 2021 | 10 | |
| 3 | 2018 | 145 | |
| 4 | 2014 | 24 | |
| 5 | 2013 | 222 | |
| 6 | 2012 | 25 | |
| 7 | 2011 | 42 | |
| 8 | 2011 | 110 | |
| 9 | 2010 | 260 | |
| 10 | 2010 | 38 | |
| 11 | 2010 | 178 | |
| 12 | 2009 | 237 | |
| 13 | Integrative Transcriptome Analysis Reveals Common Molecular Subclasses of Human Hepatocellular Carcinomabreakdown → | 2009 | 872 |
| 14 | 2008 | 36 | |
| 15 | 2008 | 215 | |
| 16 | 2006 | 20 | |
| 17 | 2006 | 98 | |
| 18 | Metagenes and molecular pattern discovery using matrix factorizationbreakdown → | 2004 | 1310 |
| 19 | 2004 | 63 | |
| 20 | 2004 | 140 |
About Todd R. Golub
Todd R. Golub is a scholar working on Cancer Research, Hematology and Molecular Biology, having authored 229 papers that have together received 113.9k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (28 papers), Acute Myeloid Leukemia Research (28 papers), Gene expression and cancer classification (22 papers), RNA modifications and cancer (20 papers), Chronic Myeloid Leukemia Treatments (18 papers), Molecular Biology Techniques and Applications (17 papers), MicroRNA in disease regulation (17 papers) and Cancer-related molecular mechanisms research (17 papers). The work is most often cited by research in Cancer Research (27.5k citations), Molecular Biology (77.0k citations) and Hematology (8.9k citations). Todd R. Golub has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Eric S. Lander, Pablo Tamayo, Jill P. Mesirov, Benjamin L. Ebert, Aravind Subramanian, Vamsi K. Mootha, Sayan Mukherjee, Michael A. Gillette, Scott L. Pomeroy and Amanda G. Paulovich. Their work appears in journals such as Nature, Science and Cell.
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.