Lisa M. Schwartz

15.5k citations
130 papers · 10.2k indexed · 6 hit papers · h-index 53

Lisa M. Schwartz

129 papers receiving 9.8k citations

Hit Papers

Medical Marketing i...2171997202620062016250500750

Peers

Lisa M. Schwartz
Comparison fields: 5 of 189
  • General Decision Sciences 319
  • Internal Medicine 419
  • Medical Terminology 26
  • Family Practice 225
  • General Health Professions 2.5k
Replace Steven Woloshin with:
Steven Woloshin United States
Harold C. Sox United States
H. Gilbert Welch United States
Michael Pignone United States
Kevin A. Schulman United States
Peter J. Neumann United States
Bengt Jönsson Sweden
Jerome P. Kassirer United States
Steven H. Woolf United States
Cary P. Gross United States
Lisa M. Schwartz relative to Steven Woloshin United States Steven Woloshin's profile →
Citations per field
00.5×1.5×
Steven Woloshin · 1×
Citations per year

Countries citing papers authored by Lisa M. Schwartz

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

The 25 scholars most cited alongside Lisa M. Schwartz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Lisa M. Schwartz Line = papers co-authored together Lisa M. Schwartz links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20183
2 201851
3 201425
4 201430
5 201116
6 200811
7 20073
8 200672
9 200681
10
The Public's Enthusiasm for Cancer Screening [3] (multiple letters)
20041
11 2004322
12
Enthusiasm for Cancer Screening in the United Statesbreakdown →
2004507
13 2003281
14 200345
15 200269
16 200153
17 200026
18 20003
19 1997262
20 199327

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), Pharmaceutical industry and healthcare (19 papers), Colorectal Cancer Screening and Detection (16 papers), BRCA gene mutations in cancer (14 papers), Pharmaceutical Economics and Policy (13 papers), Lung Cancer Diagnosis and Treatment (12 papers) and Cardiac Ischemia and Reperfusion (12 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.

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