David Fram

30 papers receiving 1.1k citations

David 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 · 243 citations
2430+2+4Years since publication50100150200

Peers

David Fram
Comparison fields: 5 of 106
  • Toxicology 242
  • Applied Microbiology and Biotechnology 54
  • Critical Care and Intensive Care Medicine 70
  • Epidemiology 344
  • Clinical Biochemistry 67
Replace Hojjat Salmasian with:
Hojjat Salmasian United States
Gino Picelli Netherlands
Antonio J. Carcas Spain
Domenico Motola Italy
Sarah W. Alander United States
Milo Gatti Italy
Flora T. Musuamba Belgium
Marc Blockman South Africa
Jennifer L. Goldman United States
Hussain Mulla United Kingdom
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Citations per year

Countries citing papers authored by David Fram

Since Specialization
Citations

This map shows the geographic impact of David 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 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 Fram more than expected).

Fields of papers citing papers by David Fram

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside David 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 Fram Line = papers co-authored together David Fram 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
Prevalence of Antibiotic-Resistant Pathogens in Culture-Proven Sepsis and Outcomes Associated With Inadequate and Broad-Spectrum Empiric Antibiotic Use
Hit paper breakdown →
2020243
2 2019115
3 201994
4 200391
5 200683
6 201969
7 200449
8 202149
9 200334
10 200831
11 200830
12 200727
13 197425
14 202425
15 200521
16 200717
17 201513
18 201911
19 20208
20 20118

About David Fram

David Fram is a scholar working on Toxicology, Epidemiology, Computational Theory and Mathematics, Statistics and Probability and Economics and Econometrics, having authored 30 papers that have together received 1.1k indexed citations. Recurring topics across this work include Pharmacovigilance and Adverse Drug Reactions (11 papers), Sepsis Diagnosis and Treatment (8 papers), Computational Drug Discovery Methods (5 papers), Statistical Methods in Clinical Trials (4 papers), Pharmaceutical Economics and Policy (3 papers), Scientific Computing and Data Management (2 papers), Imbalanced Data Classification Techniques (1 paper) and Color perception and design (1 paper). The work is most often cited by research in Toxicology (242 citations), Applied Microbiology and Biotechnology (54 citations), Critical Care and Intensive Care Medicine (70 citations), Epidemiology (344 citations) and Clinical Biochemistry (67 citations). David Fram has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include William DuMouchel, Chanu Rhee, Sameer S. Kadri, Michael Klompas, June S. Almenoff, Huai-Chun Chen, Rui Wang, Robert L. Danner, Fang Zhang and John P. Dekker. Their work appears in journals such as Critical Care Medicine, JAMA Network Open, Pharmacoepidemiology and Drug Safety, Drug Safety and Expert Opinion on Drug Safety.

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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