Philip Howard

57 papers receiving 1.5k citations

Peers

Philip Howard
Comparison fields: 5 of 124
  • Applied Microbiology and Biotechnology 921
  • Geriatrics and Gerontology 263
  • Clinical Biochemistry 224
  • Molecular Medicine 163
  • General Health Professions 401
Replace Jacqueline Sneddon with:
Jacqueline Sneddon United Kingdom
Michael J. Durkin United States
David M. Jacobs United States
Elizabeth D. Hermsen United States
Sanjeev Singh India
Daniel J. Shapiro United States
Peter Zarb Malta
Dimitri Drekonja United States
David N. Schwartz United States
Lucas Schulz United States
Philip Howard relative to Jacqueline Sneddon United Kingdom Jacqueline Sneddon's profile →
Citations per field
00.5×3.9×
Jacqueline Sneddon · 1×
Citations per year

Countries citing papers authored by Philip Howard

Since Specialization
Citations

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

Fields of papers citing papers by Philip Howard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014253
2 2014200
3 2013146
4 201386
5 201980
6 201275
7 201774
8 201565
9 201952
10 201349
11 201441
12 201640
13 201034
14 201533
15 201732
16 201729
17 201927
18 201925
19 201423
20 200020

About Philip Howard

Philip Howard is a scholar working on Applied Microbiology and Biotechnology, General Health Professions, Epidemiology, Geriatrics and Gerontology and Sociology and Political Science, having authored 67 papers that have together received 1.6k indexed citations. Recurring topics across this work include Antibiotic Use and Resistance (30 papers), Patient Satisfaction in Healthcare (15 papers), Pharmaceutical Practices and Patient Outcomes (11 papers), Cuban History and Society (7 papers), Urinary Tract Infections Management (6 papers), Healthcare Systems and Technology (6 papers), Infective Endocarditis Diagnosis and Management (5 papers) and Drug-Induced Adverse Reactions (4 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (921 citations), Geriatrics and Gerontology (263 citations), Clinical Biochemistry (224 citations), Molecular Medicine (163 citations) and General Health Professions (401 citations). Philip Howard has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include C. Pulcini, Dilip Nathwani, Robert West, Jonathan Sandoe, Stephan Harbarth, I.M. Gould, Diane Ashiru‐Oredope, Gabriel Levy Hara, Oliver J. Dyar and Bernard Prendergast. Their work appears in journals such as Journal of Antimicrobial Chemotherapy, The American Historical Review, Journal of Infection, European Journal of Clinical Microbiology & Infectious Diseases and Clinical Microbiology and Infection.

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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