Lisa M. Schwartz
- General Health Professions top 0.2%
- Oncology top 1%
- Economics and Econometrics top 0.5%
- Pulmonary and Respiratory Medicine top 2%
- Public Health, Environmental and Occupational Health top 1%
- Co-authors
- Steven WoloshinH. Gilbert WelchRenda Soylemez WienerGerd GigerenzerWolfgang GaissmaierElke Kurz‐MilckeBrenda SirovichLeo R. Zacharski
- Topics
- Global Cancer Incidence and Screening (22 papers)Health Systems, Economic Evaluations, Quality of Life (21 papers)Pharmaceutical industry and healthcare (19 papers)
- Partner nations
- United StatesGermanyCanada
In The Last Decade
Lisa M. Schwartz
129 papers receiving 9.8k citations
Hit Papers
Peers
Comparison fields: 5 of 189
- General Health Professions 2.5k
- Oncology 2.2k
- Economics and Econometrics 1.6k
- Pulmonary and Respiratory Medicine 1.4k
- Public Health, Environmental and Occupational Health 1.2k
Countries citing papers authored by Lisa M. Schwartz
This map shows the geographic impact of Lisa M. Schwartz'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. Schwartz 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. Schwartz more than expected).
Fields of papers citing papers by Lisa M. Schwartz
This network shows the impact of papers produced by Lisa M. Schwartz. 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. Schwartz. The network helps show where Lisa M. Schwartz may publish in the future.
Co-authorship network of co-authors of Lisa M. Schwartz
This figure shows the co-authorship network connecting the top 25 collaborators of Lisa M. Schwartz. A scholar is included among the top collaborators of Lisa M. Schwartz 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 Lisa M. Schwartz. Lisa M. Schwartz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 51 | |
| 3 | 25 | |
| 4 | 30 | |
| 5 | 16 | |
| 6 | 11 | |
| 7 | 3 | |
| 8 | 72 | |
| 9 | 81 | |
| 10 | The Public's Enthusiasm for Cancer Screening [3] (multiple letters) | 1 |
| 11 | 322 | |
| 12 | Enthusiasm for Cancer Screening in the United Statesbreakdown → | 507 |
| 13 | 281 | |
| 14 | 45 | |
| 15 | 69 | |
| 16 | 53 | |
| 17 | 26 | |
| 18 | 3 | |
| 19 | 262 | |
| 20 | 27 |
About Lisa M. Schwartz
Lisa M. Schwartz is a scholar working on Pharmacology, Developmental Neuroscience and Statistics, Probability and Uncertainty, having authored 130 papers that have together received 10.2k indexed citations. Recurring topics across this work include Global Cancer Incidence and Screening (22 papers), Health Systems, Economic Evaluations, Quality of Life (21 papers) and Pharmaceutical industry and healthcare (19 papers). The work is most often cited by research in General Decision Sciences (319 citations), Internal Medicine (419 citations) and Medical Terminology (26 citations). Lisa M. Schwartz has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Steven Woloshin, H. Gilbert Welch, Renda Soylemez Wiener, Gerd Gigerenzer, Wolfgang Gaissmaier, Elke Kurz‐Milcke, Brenda Sirovich, Leo R. Zacharski, Deborah L. Ornstein and Cláudia Jacques Lagranha. Their work appears in journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and The Lancet.
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.