Daniel Scanfeld
Impact in
- Health top 5%
- Social Media in Health Education
- Communication top 5%
- Social Media and Politics
Papers in
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- Gene expression and cancer classification 3
- Bioinformatics and Genomic Networks 2
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- Malaria Research and Control 2
- Co-authors
- Elaine Larson (1 shared paper)Pablo Tamayo (5 shared papers)Jill P. Mesirov (5 shared papers)David A. Fidock (3 shared papers)Charles DeLisi (4 shared papers)Shridar Ganesan (4 shared papers)Gabriela Alexe (4 shared papers)Gul S. Dalgin (4 shared papers)
- Journals
- Antimicrobial Agents and Chemotherapy (1 paper)Cell (1 paper)Proceedings of the National Academy of Sciences (1 paper)BMC Genomics (1 paper)BMC Bioinformatics (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Daniel Scanfeld
9 papers receiving 994 citations
Daniel Scanfeld's Hit Papers
Peers
Comparison fields: 5 of 123
- Health 201
- Communication 99
- General Health Professions 139
- Cancer Research 75
- Oncology 132
Countries citing papers authored by Daniel Scanfeld
This map shows the geographic impact of Daniel Scanfeld'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 Scanfeld with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Scanfeld more than expected).
Fields of papers citing papers by Daniel Scanfeld
This network shows the impact of papers produced by Daniel Scanfeld. 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 Scanfeld. The network helps show where Daniel Scanfeld may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Scanfeld, 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 | Dissemination of health information through social networks: Twitter and antibiotics Hit paper breakdown → | 2010 | 549 |
| 2 | 2007 | 174 | |
| 3 | 2014 | 106 | |
| 4 | 2007 | 98 | |
| 5 | 2010 | 51 | |
| 6 | 2007 | 32 | |
| 7 | 2015 | 21 | |
| 8 | Breast cancer stratification from analysis of micro-array data of micro-dissected specimens. | 2007 | 7 |
| 9 | 2007 | 4 |
About Daniel Scanfeld
Daniel Scanfeld is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health, Infectious Diseases, Oncology and Epidemiology, having authored 9 papers that have together received 1.0k indexed citations. Recurring topics across this work include Gene expression and cancer classification (3 papers), Malaria Research and Control (2 papers), Bioinformatics and Genomic Networks (2 papers), Trypanosoma species research and implications (1 paper), Breast Cancer Treatment Studies (1 paper), Computational Drug Discovery Methods (1 paper), Cancer Cells and Metastasis (1 paper) and HIV/AIDS drug development and treatment (1 paper). The work is most often cited by research in Health (201 citations), Communication (99 citations), General Health Professions (139 citations), Cancer Research (75 citations) and Oncology (132 citations). Daniel Scanfeld has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Elaine Larson, Pablo Tamayo, Jill P. Mesirov, David A. Fidock, Charles DeLisi, Shridar Ganesan, Gabriela Alexe, Gul S. Dalgin, Gyan Bhanot and Charles W.M. Roberts. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, Cell, Proceedings of the National Academy of Sciences, BMC Genomics and BMC Bioinformatics.
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.