Daniel P. Lew

143 papers receiving 10.0k citations

Daniel P. Lew's Hit Papers

Diagnosis and Treatment of Diabetic Foot Infections 2004 · 799 citations
7990+14+28Years since publication250500750

Peers

Daniel P. Lew
Comparison fields: 5 of 140
  • Infectious Diseases 2.3k
  • Physiology 486
  • Rehabilitation 557
  • Clinical Biochemistry 524
  • Immunology and Allergy 445
Replace James Madara with:
James Madara United States
William M. Nauseef United States
Jenny P.‐Y. Ting United States
Kate Schroder Australia
Jan Buer Germany
Fabio Martinon Switzerland
Peter J. Murray United States
Mauro Piacentini Italy
Niels Borregaard Denmark
Kensuke Miyake Japan
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Citations per year

Countries citing papers authored by Daniel P. Lew

Since Specialization
Citations

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

Fields of papers citing papers by Daniel P. Lew

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel P. Lew. 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 Daniel P. Lew. The network helps show where Daniel P. Lew may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 144 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Diagnosis and Treatment of Diabetic Foot Infections
Hit paper breakdown →
2004799
2 1999459
3 1997442
4
Is Cytosolic Ionized Calcium Regulating Neutrophil Activation?
Hit paper breakdown →
1983411
5 1988384
6 2000367
7 1984289
8 2006270
9 1992250
10 2001235
11 1996230
12 1990196
13 1989193
14 2002190
15 1985177
16 1998173
17 1998157
18 2002153
19 1991147
20 1995141

About Daniel P. Lew

Daniel P. Lew is a scholar working on Molecular Biology, Infectious Diseases, Cell Biology, Surgery and Public Health, Environmental and Occupational Health, having authored 144 papers that have together received 10.4k indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (49 papers), Ion channel regulation and function (28 papers), Bacterial biofilms and quorum sensing (23 papers), Streptococcal Infections and Treatments (16 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (13 papers), Antibiotics Pharmacokinetics and Efficacy (12 papers), Orthopedic Infections and Treatments (11 papers) and Neuroscience and Neuropharmacology Research (10 papers). The work is most often cited by research in Infectious Diseases (2.3k citations), Physiology (486 citations), Rehabilitation (557 citations), Clinical Biochemistry (524 citations) and Immunology and Allergy (445 citations). Daniel P. Lew has collaborated with scholars based in Switzerland, United States and Italy. Frequent co-authors include Pierre Vaudaux, F. A. Waldvogel, Karl‐Heinz Krause, Tullio Pozzan, Nicolas Demaurex, Jacques Schrenzel, Patrice François, Didier Pittet, William L. Kelley and Francesco Di Virgilio. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, Journal of Biological Chemistry, Biochemical Journal, The Journal of Cell Biology 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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