Daniel Scanfeld
Impact in
- Health top 5%
- Social Media in Health Education
- Communication top 5%
Papers in
-
- Gene expression and cancer classification 4
- Bioinformatics and Genomic Networks 3
- Single-cell and spatial transcriptomics 1
- Oncology 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)Shridar Ganesan (3 shared papers)Gul S. Dalgin (4 shared papers)Charles DeLisi (4 shared papers)Gyan Bhanot (4 shared papers)
- Journals
- BMC Genomics (1 paper)BMC Bioinformatics (1 paper)Antimicrobial Agents and Chemotherapy (1 paper)Cell (1 paper)American Journal of Infection Control (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Daniel Scanfeld
9 papers receiving 931 citations
Daniel Scanfeld's Hit Papers
Peers
Comparison fields: 5 of 131
- Health 230
- Communication 111
- General Health Professions 170
- Cancer Research 89
- Oncology 157
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 | 499 |
| 2 | 2007 | 166 | |
| 3 | 2014 | 100 | |
| 4 | 2007 | 96 | |
| 5 | 2010 | 47 | |
| 6 | 2007 | 31 | |
| 7 | 2015 | 20 | |
| 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, Oncology, Public Health, Environmental and Occupational Health, Cancer Research and Infectious Diseases, having authored 9 papers that have together received 970 indexed citations. Recurring topics across this work include Gene expression and cancer classification (4 papers), Bioinformatics and Genomic Networks (3 papers), Breast Cancer Treatment Studies (2 papers), Malaria Research and Control (2 papers), Single-cell and spatial transcriptomics (1 paper), HIV Research and Treatment (1 paper), Health Literacy and Information Accessibility (1 paper) and Computational Drug Discovery Methods (1 paper). The work is most often cited by research in Health (230 citations), Communication (111 citations), General Health Professions (170 citations), Cancer Research (89 citations) and Oncology (157 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, Shridar Ganesan, Gul S. Dalgin, Charles DeLisi, Gyan Bhanot, Gabriela Alexe and Benjamin L. Ebert. Their work appears in journals such as BMC Genomics, BMC Bioinformatics, Antimicrobial Agents and Chemotherapy, Cell and American Journal of Infection Control.
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.