David J. Feola

2.0k citations
45 papers · 1.5k · h-index 18

Impact in

Papers in

David J. Feola

43 papers receiving 1.5k citations

Peers

David J. Feola
Comparison fields: 5 of 111
  • Molecular Medicine 346
  • Applied Microbiology and Biotechnology 54
  • Microbiology 103
  • Pharmacology 261
  • Immunology 270
Replace Jialin Liu with:
Jialin Liu China
Banu Sancak Türkiye
Canmao Xie China
David Melnick United States
Philipp M. Lepper Germany
Denis Beauchamp Canada
Judith Branger Netherlands
Hua Gao China
J. D. Baumgartner Switzerland
Pilar Coronel Spain
David J. Feola relative to Jialin Liu China Jialin Liu's profile →
Citations per field
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Citations per year

Countries citing papers authored by David J. Feola

Since Specialization
Citations

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

Fields of papers citing papers by David J. Feola

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999443
2 2008135
3 201995
4 201579
5 201076
6 201071
7 200963
8 201056
9 201255
10 202145
11 201837
12 201536
13 201031
14 201329
15 200925
16 201820
17 201318
18 202117
19 201616
20 202015

About David J. Feola

David J. Feola is a scholar working on Epidemiology, Pulmonary and Respiratory Medicine, Immunology, Infectious Diseases and Molecular Biology, having authored 45 papers that have together received 1.5k indexed citations. Recurring topics across this work include Neonatal Respiratory Health Research (9 papers), Pneumocystis jirovecii pneumonia detection and treatment (8 papers), Immune cells in cancer (7 papers), Cystic Fibrosis Research Advances (6 papers), Immune Response and Inflammation (5 papers), Antibiotics Pharmacokinetics and Efficacy (5 papers), Pneumonia and Respiratory Infections (4 papers) and Antibiotic Resistance in Bacteria (4 papers). The work is most often cited by research in Molecular Medicine (346 citations), Applied Microbiology and Biotechnology (54 citations), Microbiology (103 citations), Pharmacology (261 citations) and Immunology (270 citations). David J. Feola has collaborated with scholars based in United States. Frequent co-authors include Robert P. Rapp, Martin E. Evans, Brian S. Murphy, Don Hayes, Theodore J. Cory, Michael Anstead, Susan E. Birket, Beth A. Garvy, Dalia Haydar and John C. Gensel. Their work appears in journals such as Frontiers in Immunology, Pharmacotherapy The Journal of Human Pharmacology and Drug Therapy, The Journal of Immunology, Pediatric Pulmonology and Immunobiology.

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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