Jake Ni
Impact in
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- Ubiquitin and proteasome pathways
- Histone Deacetylase Inhibitors Research
- Protein Degradation and Inhibitors
- RNA Research and Splicing
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- Alzheimer's disease research and treatments
Papers in
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- RNA Research and Splicing 2
- RNA regulation and disease 2
- Ubiquitin and proteasome pathways 1
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- Alzheimer's disease research and treatments 4
- Co-authors
- Li-An Yeh (8 shared papers)Ross L. Stein (5 shared papers)Gregory D. Cuny (3 shared papers)April Case (2 shared papers)Sung‐Woon Choi (1 shared paper)Peter T. Lansbury (1 shared paper)Xuechao Xing (1 shared paper)Hilal A. Lashuel (1 shared paper)
- Journals
- SLAS DISCOVERY (9 papers)Analytical Biochemistry (1 paper)Assay and Drug Development Technologies (1 paper)Orthopaedic Journal of Sports Medicine (1 paper)PLoS ONE (1 paper)
- Partner nations
- United StatesItalyIreland
In The Last Decade
Jake Ni
14 papers receiving 484 citations
Peers
Comparison fields: 5 of 72
- Molecular Biology 339
- Physiology 91
- Oncology 87
- Genetics 28
- Cell Biology 46
Countries citing papers authored by Jake Ni
This map shows the geographic impact of Jake Ni'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 Jake Ni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jake Ni more than expected).
Fields of papers citing papers by Jake Ni
This network shows the impact of papers produced by Jake Ni. 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 Jake Ni. The network helps show where Jake Ni may publish in the future.
Co-authors
The 25 scholars most cited alongside Jake Ni, 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 | 2003 | 221 | |
| 2 | 2009 | 60 | |
| 3 | 2007 | 33 | |
| 4 | 2006 | 30 | |
| 5 | 2004 | 28 | |
| 6 | 2005 | 25 | |
| 7 | 2006 | 21 | |
| 8 | 2010 | 21 | |
| 9 | 2012 | 20 | |
| 10 | 2008 | 14 | |
| 11 | 2004 | 12 | |
| 12 | 2004 | 5 | |
| 13 | 2007 | 4 | |
| 14 | 2017 | 2 |
About Jake Ni
Jake Ni is a scholar working on Molecular Biology, Physiology, Genetics, Cellular and Molecular Neuroscience and Neurology, having authored 14 papers that have together received 496 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (4 papers), Computational Drug Discovery Methods (2 papers), RNA Research and Splicing (2 papers), Neurogenetic and Muscular Disorders Research (2 papers), RNA regulation and disease (2 papers), Amyotrophic Lateral Sclerosis Research (1 paper), Ubiquitin and proteasome pathways (1 paper) and Advanced Proteomics Techniques and Applications (1 paper). The work is most often cited by research in Molecular Biology (339 citations), Physiology (91 citations), Oncology (87 citations), Genetics (28 citations) and Cell Biology (46 citations). Jake Ni has collaborated with scholars based in United States, Italy and Ireland. Frequent co-authors include Li-An Yeh, Ross L. Stein, Gregory D. Cuny, April Case, Sung‐Woon Choi, Peter T. Lansbury, Xuechao Xing, Hilal A. Lashuel, Yichin Liu and Marcie A. Glicksman. Their work appears in journals such as SLAS DISCOVERY, Analytical Biochemistry, Assay and Drug Development Technologies, Orthopaedic Journal of Sports Medicine and PLoS ONE.
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.