Daniel K. Stringer
Impact in
- Cell Biology top 10%
- Cellular transport and secretion
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- Ubiquitin and proteasome pathways
- Extracellular vesicles in disease
- Protein Kinase Regulation and GTPase Signaling
- Cell death mechanisms and regulation
- Fungal and yeast genetics research
- Protein Structure and Dynamics
Papers in
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- Cellular transport and secretion 3
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- Ubiquitin and proteasome pathways 6
- Protein Kinase Regulation and GTPase Signaling 1
- PI3K/AKT/mTOR signaling in cancer 1
- Cell death mechanisms and regulation 1
- Co-authors
- Robert C. Piper (5 shared papers)Daniel C. Scott (1 shared paper)David M. Duda (1 shared paper)Judith Souphron (1 shared paper)Darcie J. Miller (1 shared paper)Hari Kamadurai (1 shared paper)Brenda Arlene Schulman (1 shared paper)Chris MacDonald (2 shared papers)
- Journals
- Molecular Cell (2 papers)Journal of Biological Chemistry (2 papers)EMBO Reports (1 paper)The Journal of Cell Biology (1 paper)Cell Cycle (1 paper)
- Partner nations
- United StatesCanada
In The Last Decade
Daniel K. Stringer
9 papers receiving 612 citations
Peers
Comparison fields: 5 of 44
- Cell Biology 133
- Molecular Biology 445
- Aging 4
- Endocrinology 7
- Virology 6
Countries citing papers authored by Daniel K. Stringer
This map shows the geographic impact of Daniel K. Stringer'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 Daniel K. Stringer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel K. Stringer more than expected).
Fields of papers citing papers by Daniel K. Stringer
This network shows the impact of papers produced by Daniel K. Stringer. 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 Daniel K. Stringer. The network helps show where Daniel K. Stringer may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel K. Stringer, 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 | 2009 | 254 | |
| 2 | 2011 | 117 | |
| 3 | 2012 | 69 | |
| 4 | 2003 | 67 | |
| 5 | 2011 | 36 | |
| 6 | 2015 | 27 | |
| 7 | 2016 | 25 | |
| 8 | 2011 | 22 | |
| 9 | 2012 | 3 |
About Daniel K. Stringer
Daniel K. Stringer is a scholar working on Cell Biology, Molecular Biology, Oncology, Nuclear Energy and Engineering and Waste Management and Disposal, having authored 9 papers that have together received 620 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (6 papers), Cellular transport and secretion (3 papers), Protein Kinase Regulation and GTPase Signaling (1 paper), PI3K/AKT/mTOR signaling in cancer (1 paper), Cell death mechanisms and regulation (1 paper), HER2/EGFR in Cancer Research (1 paper) and Colorectal Cancer Treatments and Studies (1 paper). The work is most often cited by research in Cell Biology (133 citations), Molecular Biology (445 citations), Aging (4 citations), Endocrinology (7 citations) and Virology (6 citations). Daniel K. Stringer has collaborated with scholars based in United States and Canada. Frequent co-authors include Robert C. Piper, Daniel C. Scott, David M. Duda, Judith Souphron, Darcie J. Miller, Hari Kamadurai, Brenda Arlene Schulman, Chris MacDonald, Rolf Jakobi and Scott D. Emr. Their work appears in journals such as Molecular Cell, Journal of Biological Chemistry, EMBO Reports, The Journal of Cell Biology and Cell Cycle.
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.