Lisa M. Reisch
- Oncology top 5%
- Cutaneous Melanoma Detection and Management 24
- Global Cancer Incidence and Screening 15
- Colorectal Cancer Screening and Detection 5
- Family Practice top 5%
- Clinical Reasoning and Diagnostic Skills 5
- Biophysics top 2%
- Cell Image Analysis Techniques 7
- Medical Terminology top 10%
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- AI in cancer detection 13
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- Medical Malpractice and Liability Issues 6
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- Healthcare cost, quality, practices 5
- Co-authors
- Joann G. ElmorePatricia A. CarneyMichael W. PiepkornRaymond L. BarnhillStevan R. KnezevichDavid E. ElderHeidi D NelsonConnie Nakano
- Cited by
- OncologyFamily PracticeBiophysics
- Journals
- JNCI Journal of the National Cancer Institute (2 papers)Cancer (1 paper)American Journal of Epidemiology (1 paper)
- Partner nations
- United StatesFranceUnited Kingdom
In The Last Decade
Lisa M. Reisch
52 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 98
- Oncology 921
- Family Practice 73
- Biophysics 153
- Medical Terminology 4
- Health Information Management 68
Countries citing papers authored by Lisa M. Reisch
This map shows the geographic impact of Lisa M. Reisch'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 Lisa M. Reisch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lisa M. Reisch more than expected).
Fields of papers citing papers by Lisa M. Reisch
This network shows the impact of papers produced by Lisa M. Reisch. 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 Lisa M. Reisch. The network helps show where Lisa M. Reisch may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Lisa M. Reisch, 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 | 2024 | 2 | |
| 2 | 2023 | 6 | |
| 3 | 2023 | 5 | |
| 4 | 2022 | 9 | |
| 5 | 2022 | 11 | |
| 6 | 2022 | 10 | |
| 7 | 2019 | 32 | |
| 8 | 2019 | 7 | |
| 9 | 2018 | 7 | |
| 10 | 2018 | 2 | |
| 11 | 2017 | 274 | |
| 12 | 2015 | 18 | |
| 13 | 2014 | 1 | |
| 14 | 2012 | 54 | |
| 15 | 2012 | 22 | |
| 16 | 2007 | 14 | |
| 17 | 2007 | 53 | |
| 18 | 2006 | 29 | |
| 19 | 2005 | 44 | |
| 20 | 2005 | 158 |
About Lisa M. Reisch
Lisa M. Reisch is a scholar working on Family Practice, Oncology and Biophysics, having authored 53 papers that have together received 1.5k indexed citations. Recurring topics across this work include Cutaneous Melanoma Detection and Management (24 papers), Global Cancer Incidence and Screening (15 papers), AI in cancer detection (13 papers), Cell Image Analysis Techniques (7 papers), Medical Malpractice and Liability Issues (6 papers), Healthcare cost, quality, practices (5 papers), Colorectal Cancer Screening and Detection (5 papers) and Clinical Reasoning and Diagnostic Skills (5 papers). The work is most often cited by research in Oncology (921 citations), Family Practice (73 citations) and Biophysics (153 citations). Lisa M. Reisch has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Joann G. Elmore, Patricia A. Carney, Michael W. Piepkorn, Raymond L. Barnhill, Stevan R. Knezevich, David E. Elder, Heidi D Nelson, Connie Nakano, Hannah M. Linden and Gary Longton. Their work appears in journals such as JNCI Journal of the National Cancer Institute, Cancer and American Journal of Epidemiology.
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.