Leonard Sacks

29 papers receiving 935 citations

Hit Papers

Real-World Evidence and Real-World Data for Evaluating Drug Safety and Effectiveness 2018 · 267 citations
2670+2+5Years since publication50100150200250

Peers

Leonard Sacks
Comparison fields: 5 of 133
  • Statistics and Probability 119
  • Infectious Diseases 251
  • Virology 51
  • Health Informatics 11
  • Epidemiology 255
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Stefanie Hennig Australia
Lynn McFadyen United Kingdom
Christine Sekaggya‐Wiltshire Uganda
Lisa V. Kalman United States
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Citations per year

Countries citing papers authored by Leonard Sacks

Since Specialization
Citations

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

Fields of papers citing papers by Leonard Sacks

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Real-World Evidence and Real-World Data for Evaluating Drug Safety and Effectiveness
Hit paper breakdown →
2018267
2 2014153
3 201669
4 202057
5 200355
6 200752
7 200147
8 199945
9 200829
10 199128
11 200225
12 202118
13 200918
14 196216
15 201916
16
HIV-1 infection abolishes CD4 biosynthesis but not CD4 mRNA.
198814
17 202113
18 20196
19 19876
20 20225

About Leonard Sacks

Leonard Sacks is a scholar working on Infectious Diseases, Epidemiology, Molecular Medicine, Surgery and Molecular Biology, having authored 30 papers that have together received 967 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (7 papers), Pneumocystis jirovecii pneumonia detection and treatment (5 papers), Antibiotic Resistance in Bacteria (5 papers), HIV Research and Treatment (3 papers), Gut microbiota and health (3 papers), Infectious Diseases and Tuberculosis (3 papers), Pharmaceutical studies and practices (2 papers) and Health Systems, Economic Evaluations, Quality of Life (2 papers). The work is most often cited by research in Statistics and Probability (119 citations), Infectious Diseases (251 citations), Virology (51 citations), Health Informatics (11 citations) and Epidemiology (255 citations). Leonard Sacks has collaborated with scholars based in United States, South Africa and Israel. Frequent co-authors include Jacqueline Corrigan‐Curay, Janet Woodcock, Stella Pendle, Rachel E. Sherman, Michael Lanthier, Hala Shamsuddin, Rachel E. Behrman, Dragana Orlovic, Mark Harrington and Carole D. Mitnick. Their work appears in journals such as Clinical Infectious Diseases, JAMA, Therapeutic Innovation & Regulatory Science, Antibiotics and The Journal of Infectious Diseases.

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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