Christopher W. Schacherer
- Oncology top 5%
- Molecular Biology
- Epidemiology
- Immunology
- Otorhinolaryngology top 5%
- Co-authors
- Jeffrey E. GershenwaldMerrick I. RossJanice N. CormierJeffrey E. LeePaul F. MansfieldMarcella M. JohnsonTimothy M. PawlikVíctor G. Prieto
- Topics
- Cutaneous Melanoma Detection and Management (8 papers)Immunotherapy and Immune Responses (4 papers)SAS software applications and methods (4 papers)
- Partner nations
- United States
In The Last Decade
Christopher W. Schacherer
14 papers receiving 809 citations
Peers
Comparison fields: 5 of 73
- Oncology 706
- Molecular Biology 235
- Epidemiology 235
- Immunology 124
- Otorhinolaryngology 90
Countries citing papers authored by Christopher W. Schacherer
This map shows the geographic impact of Christopher W. Schacherer'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 Christopher W. Schacherer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher W. Schacherer more than expected).
Fields of papers citing papers by Christopher W. Schacherer
This network shows the impact of papers produced by Christopher W. Schacherer. 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 Christopher W. Schacherer. The network helps show where Christopher W. Schacherer may publish in the future.
Co-authorship network of co-authors of Christopher W. Schacherer
This figure shows the co-authorship network connecting the top 25 collaborators of Christopher W. Schacherer. A scholar is included among the top collaborators of Christopher W. Schacherer 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 Christopher W. Schacherer. Christopher W. Schacherer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 58 | |
| 3 | 4 | |
| 4 | 21 | |
| 5 | 20 | |
| 6 | 2 | |
| 7 | SAS® Data Management Techniques: Cleaning and transforming data for delivery of analytic datasets | 0 |
| 8 | Building an Extract, Transform, and Load (ETL) Server Using Base SAS®, SAS/SHARE®, SAS/CONNECT®, and SAS/ACCESS® | 4 |
| 9 | A SAS ® Primer for Healthcare Data Analysts | 0 |
| 10 | Base SAS ® Methods for Building Dimensional Data Models | 1 |
| 11 | 155 | |
| 12 | 1 | |
| 13 | 60 | |
| 14 | 1 | |
| 15 | 147 | |
| 16 | 134 | |
| 17 | 64 | |
| 18 | 168 |
About Christopher W. Schacherer
Christopher W. Schacherer is a scholar working on Oncology, Cancer Research and Otorhinolaryngology, having authored 18 papers that have together received 845 indexed citations. Recurring topics across this work include Cutaneous Melanoma Detection and Management (8 papers), Immunotherapy and Immune Responses (4 papers) and SAS software applications and methods (4 papers). The work is most often cited by research in Oncology (706 citations), Otorhinolaryngology (90 citations) and Dermatology (86 citations). Christopher W. Schacherer has collaborated with scholars based in United States. Frequent co-authors include Jeffrey E. Gershenwald, Merrick I. Ross, Janice N. Cormier, Jeffrey E. Lee, Paul F. Mansfield, Marcella M. Johnson, Timothy M. Pawlik, Víctor G. Prieto, Carl de Moor and Ellen R. Gritz. Their work appears in journals such as Journal of Clinical Oncology, Cancer and International Journal of Cancer.
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.