David M. Fram

1.7k citations
29 papers · 1.3k · 1 hit paper · h-index 17

Impact in

Papers in

    • Pharmacovigilance and Adverse Drug Reactions 14
    • Sepsis Diagnosis and Treatment 11
    • Data-Driven Disease Surveillance 1

David M. Fram

29 papers receiving 1.2k citations

David M. Fram's Hit Papers

Prevalence of Antibiotic-Resistant Pathogens in Culture-Proven Sepsis and Outcomes Associated With Inadequate and Broad-Spectrum Empiric Antibiotic Use 2020 · 288 citations
2880+2+4Years since publication50100150200250

Peers

David M. Fram
Comparison fields: 5 of 79
  • Toxicology 322
  • Applied Microbiology and Biotechnology 100
  • Epidemiology 514
  • Clinical Biochemistry 64
  • Critical Care and Intensive Care Medicine 40
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Citations per year

Countries citing papers authored by David M. Fram

Since Specialization
Citations

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

Fields of papers citing papers by David M. Fram

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David M. Fram. 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 David M. Fram. The network helps show where David M. Fram may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Prevalence of Antibiotic-Resistant Pathogens in Culture-Proven Sepsis and Outcomes Associated With Inadequate and Broad-Spectrum Empiric Antibiotic Use
Hit paper breakdown →
2020288
2 2019131
3 2019101
4 200398
5 200690
6 201983
7 201865
8 202157
9 200454
10 200334
11 200833
12 200831
13 202431
14 200727
15 197424
16 200521
17 202417
18 201515
19 201913
20 20118

About David M. Fram

David M. Fram is a scholar working on Toxicology, Epidemiology, Applied Microbiology and Biotechnology, Software and Information Systems and Management, having authored 29 papers that have together received 1.3k indexed citations. Recurring topics across this work include Pharmacovigilance and Adverse Drug Reactions (14 papers), Sepsis Diagnosis and Treatment (11 papers), Antibiotic Use and Resistance (3 papers), Engineering and Information Technology (2 papers), Scientific Computing and Data Management (2 papers), Decision Support System Applications (1 paper), Data Visualization and Analytics (1 paper) and Data-Driven Disease Surveillance (1 paper). The work is most often cited by research in Toxicology (322 citations), Applied Microbiology and Biotechnology (100 citations), Epidemiology (514 citations), Clinical Biochemistry (64 citations) and Critical Care and Intensive Care Medicine (40 citations). David M. Fram has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Sameer S. Kadri, Michael Klompas, Chanu Rhee, William DuMouchel, June S. Almenoff, Huai-Chun Chen, Robert L. Danner, Fang Zhang, John P. Dekker and Zilu Zhang. Their work appears in journals such as Critical Care Medicine, JAMA Network Open, Drug Safety, Pharmacoepidemiology and Drug Safety and Open Forum 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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