Maja E. Marcus

5 papers receiving 72 citations

Peers

Maja E. Marcus
Comparison fields: 5 of 42
  • Geriatrics and Gerontology 7
  • Organizational Behavior and Human Resource Management 15
  • Family Practice 3
  • Cardiology and Cardiovascular Medicine 23
  • Health 8
Replace Periklis Charalampous with:
Periklis Charalampous Netherlands
Natasa Kalpourtzi Greece
Elizabeth Edwards United States
Thomas Hinneh United States
Alypio Nyandwi Rwanda
Cecilia Scholcoff United States
Rachael C. Aikens United States
Duygu İşlek United States
Jenney R. Lee United States
Isaac Kisiangani Kenya
Maja E. Marcus relative to Periklis Charalampous Netherlands Periklis Charalampous's profile →
Citations per field
00.5×2.8×
Periklis Charalampous · 1×
Citations per year

Countries citing papers authored by Maja E. Marcus

Since Specialization
Citations

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

Fields of papers citing papers by Maja E. Marcus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maja E. Marcus. 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 Maja E. Marcus. The network helps show where Maja E. Marcus may publish in the future.

Co-authors

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

All Works

8 of 8 papers shown
#Work
1
Use of statins for the prevention of cardiovascular disease in 41 low-income and middle-income countries: A cross-sectional study of nationally representative, individual-level data
202249
2 202116
3 20216
4 20241
5 20251
6 20240
7 20250
8 20250

About Maja E. Marcus

Maja E. Marcus is a scholar working on Epidemiology, Infectious Diseases, Health, General Health Professions and Public Health, Environmental and Occupational Health, having authored 8 papers that have together received 73 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers), HIV/AIDS Research and Interventions (2 papers), Global Public Health Policies and Epidemiology (2 papers), HIV, Drug Use, Sexual Risk (2 papers), HIV Research and Treatment (1 paper), Trauma and Emergency Care Studies (1 paper), Health Promotion and Cardiovascular Prevention (1 paper) and Health Systems, Economic Evaluations, Quality of Life (1 paper). The work is most often cited by research in Geriatrics and Gerontology (7 citations), Organizational Behavior and Human Resource Management (15 citations), Family Practice (3 citations), Cardiology and Cardiovascular Medicine (23 citations) and Health (8 citations). Maja E. Marcus has collaborated with scholars based in Germany, United States and South Africa. Frequent co-authors include Michaela Theilmann, Mark D. Huffman, Sebastián Vollmer, Marthoenis Marthoenis, Farah Diba, Till Bärnighausen, Guy Harling, Augustine Choko, Kathleen Kahn and Jennifer Manne‐Goehler. Their work appears in journals such as AIDS, The Journal of Development Studies, Journal of Economic Behavior & Organization, Diabetes Care and Journal of Epidemiology and Global Health.

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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