Jessica J. Huck
- Cell Biology top 2%
- Microtubule and mitosis dynamics 15
- Oncology top 5%
- Cancer-related Molecular Pathways 9
- Neurology top 10%
- Neuroblastoma Research and Treatments 2
-
- Ubiquitin and proteasome pathways 6
- Protein Degradation and Inhibitors 5
- 14-3-3 protein interactions 2
-
- Chronic Lymphocytic Leukemia Research 2
-
- Advanced Breast Cancer Therapies 1
- Co-authors
- Mark ManfrediMengkun ZhangKara M. HoarJeffrey EcsedyDeborah R. WysongTodd B. SellsChristopher F. ClaibornePatrick Leroy
- Cited by
- Cell BiologyOncologyNeurology
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Journal of Clinical Oncology (4 papers)Blood (2 papers)
- Partner nations
- United StatesJapan
In The Last Decade
Jessica J. Huck
22 papers receiving 872 citations
Peers
Comparison fields: 5 of 61
- Cell Biology 656
- Oncology 491
- Neurology 121
- Molecular Biology 535
- Genetics 58
Countries citing papers authored by Jessica J. Huck
This map shows the geographic impact of Jessica J. Huck'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 Jessica J. Huck with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jessica J. Huck more than expected).
Fields of papers citing papers by Jessica J. Huck
This network shows the impact of papers produced by Jessica J. Huck. 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 Jessica J. Huck. The network helps show where Jessica J. Huck may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jessica J. Huck, 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 | 2015 | 2 | |
| 2 | 2015 | 83 | |
| 3 | 2014 | 27 | |
| 4 | 2014 | 7 | |
| 5 | 2014 | 4 | |
| 6 | 2014 | 1 | |
| 7 | 2014 | 1 | |
| 8 | 2013 | 19 | |
| 9 | 2013 | 1 | |
| 10 | 2011 | 242 | |
| 11 | 2010 | 1 | |
| 12 | 2010 | 103 | |
| 13 | 2009 | 8 | |
| 14 | MLN8237: an orally active small molecule inhibitor of Aurora A kinase in phase I clinical trials | 2008 | 14 |
| 15 | 2008 | 6 | |
| 16 | Preclinical PK/PD/Efficacy relationship of MLN8054, a small molecule Aurora A kinase inhibitor | 2007 | 2 |
| 17 | 2007 | 334 | |
| 18 | Preclinical antitumor activity with MLN8054, a small molecule Aurora A kinase inhibitor | 2006 | 8 |
| 19 | MLN8054, an orally active Aurora A kinase small molecule inhibitor in phase I clinical trials | 2006 | 5 |
| 20 | 2006 | 9 |
About Jessica J. Huck
Jessica J. Huck is a scholar working on Cell Biology, Oncology and Molecular Biology, having authored 22 papers that have together received 885 indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (15 papers), Cancer-related Molecular Pathways (9 papers), Ubiquitin and proteasome pathways (6 papers), Protein Degradation and Inhibitors (5 papers), Chronic Lymphocytic Leukemia Research (2 papers), Neuroblastoma Research and Treatments (2 papers), 14-3-3 protein interactions (2 papers) and Advanced Breast Cancer Therapies (1 paper). The work is most often cited by research in Cell Biology (656 citations), Oncology (491 citations) and Neurology (121 citations). Jessica J. Huck has collaborated with scholars based in United States and Japan. Frequent co-authors include Mark Manfredi, Mengkun Zhang, Kara M. Hoar, Jeffrey Ecsedy, Deborah R. Wysong, Todd B. Sells, Christopher F. Claiborne, Patrick Leroy, Stephen G. Stroud and Joseph B. Bolen. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and Blood.
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.