Daniel Stafford
Impact in
- Cell Biology top 5%
- Calpain Protease Function and Regulation
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- Neuroscience and Neuropharmacology Research
Papers in
-
- Microbial Metabolic Engineering and Bioproduction 4
- Enzyme Catalysis and Immobilization 3
- Viral Infectious Diseases and Gene Expression in Insects 1
- Cell death mechanisms and regulation 1
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- Pharmacogenetics and Drug Metabolism 3
- Co-authors
- Rathna Nath (3 shared papers)Kadee J. Raser (3 shared papers)Kevin Wang (3 shared papers)Hamish Allen (1 shared paper)Avigail Posner (1 shared paper)Po‐wai Yuen (1 shared paper)Iradj Hajimohammadreza (1 shared paper)Robert V. Talanian (1 shared paper)
- Journals
- Neuroreport (1 paper)Journal of Medicinal Chemistry (1 paper)Current Opinion in Microbiology (1 paper)Biochemical Journal (1 paper)European Journal of Biochemistry (1 paper)
- Partner nations
- United States
In The Last Decade
Daniel Stafford
10 papers receiving 744 citations
Peers
Comparison fields: 5 of 90
- Cell Biology 251
- Cellular and Molecular Neuroscience 146
- Molecular Biology 530
- Organic Chemistry 145
- Toxicology 14
Countries citing papers authored by Daniel Stafford
This map shows the geographic impact of Daniel Stafford'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 Stafford with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Stafford more than expected).
Fields of papers citing papers by Daniel Stafford
This network shows the impact of papers produced by Daniel Stafford. 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 Stafford. The network helps show where Daniel Stafford may publish in the future.
Co-authors
The 21 scholars most cited alongside Daniel Stafford, 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 | 1996 | 395 | |
| 2 | 1998 | 149 | |
| 3 | 1996 | 108 | |
| 4 | 2001 | 31 | |
| 5 | 2002 | 25 | |
| 6 | 2002 | 24 | |
| 7 | 2001 | 18 | |
| 8 | 2001 | 10 | |
| 9 | Machine learning in option pricing | 2019 | 3 |
| 10 | 2018 | 2 |
About Daniel Stafford
Daniel Stafford is a scholar working on Molecular Biology, Pharmacology, Cell Biology, Pharmaceutical Science and Physiology, having authored 10 papers that have together received 765 indexed citations. Recurring topics across this work include Microbial Metabolic Engineering and Bioproduction (4 papers), Pharmacogenetics and Drug Metabolism (3 papers), Enzyme Catalysis and Immobilization (3 papers), Calpain Protease Function and Regulation (2 papers), Viral Infectious Diseases and Gene Expression in Insects (1 paper), Stock Market Forecasting Methods (1 paper), Adenosine and Purinergic Signaling (1 paper) and Cell death mechanisms and regulation (1 paper). The work is most often cited by research in Cell Biology (251 citations), Cellular and Molecular Neuroscience (146 citations), Molecular Biology (530 citations), Organic Chemistry (145 citations) and Toxicology (14 citations). Daniel Stafford has collaborated with scholars based in United States. Frequent co-authors include Rathna Nath, Kadee J. Raser, Kevin Wang, Hamish Allen, Avigail Posner, Po‐wai Yuen, Iradj Hajimohammadreza, Robert V. Talanian, Richard B. Gilbertsen and Gregory Stephanopoulos. Their work appears in journals such as Neuroreport, Journal of Medicinal Chemistry, Current Opinion in Microbiology, Biochemical Journal and European Journal of Biochemistry.
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.