Jeanne A. Stuckey
- Molecular Biology top 0.5%
- Protein Degradation and Inhibitors 23
- Ubiquitin and proteasome pathways 22
- Cell death mechanisms and regulation 19
- RNA and protein synthesis mechanisms 15
- Oncology top 1%
- Peptidase Inhibition and Analysis 13
- Toxicology top 0.5%
- Hematology top 1%
- Multiple Myeloma Research and Treatments 9
- Organic Chemistry top 1%
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- Enzyme Structure and Function 15
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- Computational Drug Discovery Methods 9
- Co-authors
- Shaomeng WangJennifer L. MeagherZaneta Nikolovska‐ColeskaMark A. SaperChao‐Yie YangJack E. DixonPeter P. RollerKrzysztof Krajewski
- Cited by
- Molecular BiologyOncologyToxicology
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Jeanne A. Stuckey
141 papers receiving 9.8k citations
Hit Papers
Peers
Comparison fields: 5 of 144
- Molecular Biology 7.1k
- Oncology 2.0k
- Toxicology 240
- Hematology 692
- Organic Chemistry 1.8k
Countries citing papers authored by Jeanne A. Stuckey
This map shows the geographic impact of Jeanne A. Stuckey'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 Jeanne A. Stuckey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeanne A. Stuckey more than expected).
Fields of papers citing papers by Jeanne A. Stuckey
This network shows the impact of papers produced by Jeanne A. Stuckey. 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 Jeanne A. Stuckey. The network helps show where Jeanne A. Stuckey may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jeanne A. Stuckey, 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 | 2023 | 40 | |
| 2 | 2021 | 34 | |
| 3 | 2021 | 18 | |
| 4 | 2018 | 20 | |
| 5 | 2018 | 30 | |
| 6 | 2018 | 15 | |
| 7 | 2018 | 1 | |
| 8 | 2017 | 51 | |
| 9 | 2016 | 159 | |
| 10 | 2016 | 7 | |
| 11 | 2016 | 34 | |
| 12 | 2014 | 18 | |
| 13 | 2013 | 158 | |
| 14 | 2011 | 16 | |
| 15 | 2011 | 44 | |
| 16 | 2010 | 16 | |
| 17 | 2008 | 174 | |
| 18 | 2007 | 27 | |
| 19 | 2005 | 110 | |
| 20 | 1995 | 94 |
About Jeanne A. Stuckey
Jeanne A. Stuckey is a scholar working on Molecular Biology, Toxicology and Hematology, having authored 142 papers that have together received 9.9k indexed citations. Recurring topics across this work include Protein Degradation and Inhibitors (23 papers), Ubiquitin and proteasome pathways (22 papers), Cell death mechanisms and regulation (19 papers), RNA and protein synthesis mechanisms (15 papers), Enzyme Structure and Function (15 papers), Peptidase Inhibition and Analysis (13 papers), Computational Drug Discovery Methods (9 papers) and Multiple Myeloma Research and Treatments (9 papers). The work is most often cited by research in Molecular Biology (7.1k citations), Oncology (2.0k citations) and Toxicology (240 citations). Jeanne A. Stuckey has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Shaomeng Wang, Jennifer L. Meagher, Zaneta Nikolovska‐Coleska, Mark A. Saper, Chao‐Yie Yang, Jack E. Dixon, Peter P. Roller, Krzysztof Krajewski, Jack E. Dixon and Krishnapriya Chinnaswamy. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.
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.