Daniel Scanfeld

1.6k total citations · 1 hit paper
9 papers, 970 citations indexed

About

Daniel Scanfeld is a scholar working on Molecular Biology, Oncology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Daniel Scanfeld has authored 9 papers receiving a total of 970 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 2 papers in Oncology and 2 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Daniel Scanfeld's work include Gene expression and cancer classification (4 papers), Bioinformatics and Genomic Networks (3 papers) and Breast Cancer Treatment Studies (2 papers). Daniel Scanfeld is often cited by papers focused on Gene expression and cancer classification (4 papers), Bioinformatics and Genomic Networks (3 papers) and Breast Cancer Treatment Studies (2 papers). Daniel Scanfeld collaborates with scholars based in United States and United Kingdom. Daniel Scanfeld's co-authors include Elaine Larson, Jill P. Mesirov, Pablo Tamayo, David A. Fidock, Charles DeLisi, Shridar Ganesan, Gabriela Alexe, Gyan Bhanot, Gul S. Dalgin and Michael A. Gillette and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Cancer Research.

In The Last Decade

Daniel Scanfeld

9 papers receiving 931 citations

Hit Papers

Dissemination of health information through social networ... 2010 2026 2015 2020 2010 100 200 300 400

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Daniel Scanfeld United States 8 239 230 214 170 157 9 970
Timothy E. Vaughan United States 18 141 0.6× 204 0.9× 161 0.8× 384 2.3× 37 0.2× 29 1.6k
Kristen Johnson United States 19 144 0.6× 27 0.1× 303 1.4× 109 0.6× 118 0.8× 43 1.2k
Joseph Abi Jaoude United States 12 461 1.9× 201 0.9× 38 0.2× 35 0.2× 148 0.9× 65 1.0k
Lixia Yao United States 20 46 0.2× 175 0.8× 405 1.9× 87 0.5× 78 0.5× 95 1.2k
Elio Adib United States 10 459 1.9× 174 0.8× 114 0.5× 30 0.2× 156 1.0× 41 924
Bethan Hughes United Kingdom 12 123 0.5× 41 0.2× 267 1.2× 56 0.3× 100 0.6× 42 977
Ramez Kouzy United States 10 460 1.9× 178 0.8× 25 0.1× 31 0.2× 82 0.5× 51 839
Angela Brand Netherlands 22 83 0.3× 29 0.1× 331 1.5× 185 1.1× 76 0.5× 106 1.5k
Holly Else 14 139 0.6× 39 0.2× 61 0.3× 98 0.6× 110 0.7× 95 1.3k
Zezhou Wang China 16 67 0.3× 34 0.1× 197 0.9× 59 0.3× 142 0.9× 49 998

Countries citing papers authored by Daniel Scanfeld

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Daniel Scanfeld

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Scanfeld. A scholar is included among the top collaborators of Daniel Scanfeld based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniel Scanfeld. Daniel Scanfeld is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
2.
Lisewski, Andreas Martin, Caroline L. Ng, Anbu Karani Adikesavan, et al.. (2014). Supergenomic Network Compression and the Discovery of EXP1 as a Glutathione Transferase Inhibited by Artesunate. Cell. 158(4). 916–928. 100 indexed citations
3.
Scanfeld, Daniel, et al.. (2010). Dissemination of health information through social networks: Twitter and antibiotics. American Journal of Infection Control. 38(3). 182–188. 499 indexed citations breakdown →
4.
Gaw, Stephanie L., Daniel Scanfeld, Anne‐Catrin Uhlemann, David A. Fidock, & Sanjeev Krishna. (2010). Investigations into the Role of the Plasmodium falciparum SERCA (PfATP6) L263E Mutation in Artemisinin Action and Resistance. Antimicrobial Agents and Chemotherapy. 54(9). 3842–3852. 47 indexed citations
5.
Alexe, Gabriela, Gul S. Dalgin, Daniel Scanfeld, et al.. (2007). High Expression of Lymphocyte-Associated Genes in Node-Negative HER2+ Breast Cancers Correlates with Lower Recurrence Rates. Cancer Research. 67(22). 10669–10676. 166 indexed citations
6.
Alexe, Gabriela, Gul S. Dalgin, Daniel Scanfeld, et al.. (2007). BREAST CANCER STRATIFICATION FROM ANALYSIS OF MICRO-ARRAY DATA OF MICRO-DISSECTED SPECIMENS. View. 130–140. 4 indexed citations
7.
Dalgin, Gul S., Gabriela Alexe, Daniel Scanfeld, et al.. (2007). Portraits of breast cancer progression. BMC Bioinformatics. 8(1). 291–291. 31 indexed citations
8.
Alexe, Gabriela, Gul S. Dalgin, Daniel Scanfeld, et al.. (2007). Breast cancer stratification from analysis of micro-array data of micro-dissected specimens.. PubMed. 18. 130–40. 7 indexed citations
9.
Tamayo, Pablo, Daniel Scanfeld, Benjamin L. Ebert, et al.. (2007). Metagene projection for cross-platform, cross-species characterization of global transcriptional states. Proceedings of the National Academy of Sciences. 104(14). 5959–5964. 96 indexed citations

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.

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