James Annis
Impact in
- Molecular Biology top 10%
- CRISPR and Genetic Engineering
- Renal and related cancers
- Pluripotent Stem Cells Research
- Ubiquitin and proteasome pathways
- DNA Repair Mechanisms
Papers in ⓘ
- Aging 1
-
- Ubiquitin and proteasome pathways 3
- Protein Degradation and Inhibitors 2
- Glycosylation and Glycoproteins Research 2
- DNA Repair Mechanisms 2
- Cancer-related gene regulation 2
- Pluripotent Stem Cells Research 2
- Co-authors
- Andrew M. Scharenberg (1 shared paper)Byoung Y. Ryu (1 shared paper)David J. Rawlings (1 shared paper)Jordan Jarjour (1 shared paper)Michael T. Certo (1 shared paper)Peter S. Linsley (3 shared papers)Carla Grandori (5 shared papers)Randall T. Moon (2 shared papers)
- Journals
- Nature Methods (1 paper)Clinical Cancer Research (1 paper)Scientific Reports (1 paper)PLoS ONE (1 paper)Cancer Prevention Research (1 paper)
- Partner nations
- United StatesSouth AfricaIndia
In The Last Decade
James Annis
16 papers receiving 1.0k citations
Hit Papers
Peers
Comparison fields: 5 of 81
- Molecular Biology 869
- Aging 16
- Oncology 246
- Cell Biology 120
- Cancer Research 98
Countries citing papers authored by James Annis
This map shows the geographic impact of James Annis'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 James Annis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James Annis more than expected).
Fields of papers citing papers by James Annis
This network shows the impact of papers produced by James Annis. 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 James Annis. The network helps show where James Annis may publish in the future.
Co-authors
The 25 scholars most cited alongside James Annis, 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 | High-Throughput Screening Enhances Kidney Organoid Differentiation from Human Pluripotent Stem Cells and Enables Automated Multidimensional Phenotyping Hit paper breakdown → | 2018 | 329 |
| 2 | 2011 | 231 | |
| 3 | 2012 | 197 | |
| 4 | 2006 | 100 | |
| 5 | 2014 | 66 | |
| 6 | 2013 | 36 | |
| 7 | 2013 | 23 | |
| 8 | 2009 | 16 | |
| 9 | 2008 | 8 | |
| 10 | 2021 | 7 | |
| 11 | 2019 | 5 | |
| 12 | 2022 | 4 | |
| 13 | 2016 | 4 | |
| 14 | 2020 | 4 | |
| 15 | 2018 | 3 | |
| 16 | 2020 | 3 |
About James Annis
James Annis is a scholar working on Aging, Molecular Biology, Cancer Research, Cell Biology and Neurology, having authored 16 papers that have together received 1.0k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (3 papers), Protein Degradation and Inhibitors (2 papers), Glycosylation and Glycoproteins Research (2 papers), Microtubule and mitosis dynamics (2 papers), Cancer-related Molecular Pathways (2 papers), DNA Repair Mechanisms (2 papers), Cancer-related gene regulation (2 papers) and Pluripotent Stem Cells Research (2 papers). The work is most often cited by research in Molecular Biology (869 citations), Aging (16 citations), Oncology (246 citations), Cell Biology (120 citations) and Cancer Research (98 citations). James Annis has collaborated with scholars based in United States, South Africa and India. Frequent co-authors include Andrew M. Scharenberg, Byoung Y. Ryu, David J. Rawlings, Jordan Jarjour, Michael T. Certo, Peter S. Linsley, Carla Grandori, Randall T. Moon, Jason P. Frazier and Michele A. Cleary. Their work appears in journals such as Nature Methods, Clinical Cancer Research, Scientific Reports, PLoS ONE and Cancer Prevention Research.
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.