Nancy Brown

54 papers receiving 2.7k citations

Nancy Brown's Hit Papers

Call to Action: Rural Health: A Presidential Advisory From the American Heart Association and American Stroke Association 2020 · 237 citations
2370+2+4Years since publication50100150200

Peers

Nancy Brown
Comparison fields: 5 of 164
  • Behavioral Neuroscience 123
  • Endocrinology, Diabetes and Metabolism 331
  • Surgery 713
  • Oncology 405
  • Cardiology and Cardiovascular Medicine 251
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Citations per field
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Citations per year

Countries citing papers authored by Nancy Brown

Since Specialization
Citations

This map shows the geographic impact of Nancy Brown'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 Nancy Brown with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nancy Brown more than expected).

Fields of papers citing papers by Nancy Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nancy Brown. 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 Nancy Brown. The network helps show where Nancy Brown may publish in the future.

Co-authors

The 25 scholars most cited alongside Nancy Brown, 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 Nancy Brown Line = papers co-authored together Nancy Brown links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999343
2
Call to Action: Rural Health: A Presidential Advisory From the American Heart Association and American Stroke Association
Hit paper breakdown →
2020237
3 1998190
4 2019173
5 2017169
6 1996167
7 2017167
8 2007138
9 2018109
10
Development of prediction models for three in vitro embryotoxicity tests in an ECVAM validation study.
2000108
11 200979
12 200877
13 200574
14 200270
15 198258
16 200556
17 200454
18 202154
19 200949
20 201847

About Nancy Brown

Nancy Brown is a scholar working on Oncology, Public Health, Environmental and Occupational Health, Sociology and Political Science, Pulmonary and Respiratory Medicine and Economics and Econometrics, having authored 54 papers that have together received 2.8k indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (8 papers), Disaster Management and Resilience (7 papers), Infrastructure Resilience and Vulnerability Analysis (4 papers), Health Systems, Economic Evaluations, Quality of Life (4 papers), Telemedicine and Telehealth Implementation (4 papers), Healthcare Systems and Technology (4 papers), Evacuation and Crowd Dynamics (3 papers) and Hypothalamic control of reproductive hormones (3 papers). The work is most often cited by research in Behavioral Neuroscience (123 citations), Endocrinology, Diabetes and Metabolism (331 citations), Surgery (713 citations), Oncology (405 citations) and Cardiology and Cardiovascular Medicine (251 citations). Nancy Brown has collaborated with scholars based in United States, New Zealand and Australia. Frequent co-authors include Cynthia L. Bethea, Melanie Pecins-Thompson, R. Matthew Walsh, David Johnston, Shirley Feldmann-Jensen, Jane E. Rovins, Caroline Orchiston, J. Michael Henderson, David Vogt and Mark McClellan. Their work appears in journals such as Journal of Telemedicine and Telecare, Circulation Cardiovascular Quality and Outcomes, Surgery, International Journal of Disaster Risk Reduction and Circulation.

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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