Philip D. Hansten

3.5k citations
57 papers · 2.5k indexed · h-index 22

Philip D. Hansten

54 papers receiving 2.4k citations

Peers

Philip D. Hansten
Comparison fields: 5 of 119
  • Geriatrics and Gerontology 667
  • Toxicology 245
  • Family Practice 127
  • Health Information Management 227
  • Pharmacology 359
Replace John R. Horn with:
John R. Horn United States
Mariam Molokhia United Kingdom
Thomas Walley United Kingdom
Ylva Böttiger Sweden
Peter I. Pillans Australia
Keith Farrar United Kingdom
B Kevin Park United Kingdom
Hubert G.M. Leufkens Netherlands
L. Poller United Kingdom
John Fanikos United States
Philip D. Hansten relative to John R. Horn United States John R. Horn's profile →
Citations per field
00.5×1.6×
John R. Horn · 1×
Citations per year

Countries citing papers authored by Philip D. Hansten

Since Specialization
Citations

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

Fields of papers citing papers by Philip D. Hansten

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20241
3 20248
4 202223
5 20223
6 201824
7 201316
8 2008129
9 2007425
10 2004169
11 200350
12
Hansten and Horn's drug interactions analysis and management
200325
13 2001111
14 200098
15 2000171
16
The Top 100 Drug Interactions
19998
17
Managing clinically important drug interactions
199815
18 199121
19 19751
20 19712

About Philip D. Hansten

Philip D. Hansten is a scholar working on Geriatrics and Gerontology, Toxicology and Health Information Management, having authored 57 papers that have together received 2.5k indexed citations. Recurring topics across this work include Pharmaceutical Practices and Patient Outcomes (17 papers), Pharmacovigilance and Adverse Drug Reactions (8 papers), Electronic Health Records Systems (8 papers), Pharmaceutical studies and practices (7 papers), Drug-Induced Hepatotoxicity and Protection (5 papers), Pharmacogenetics and Drug Metabolism (4 papers), Potassium and Related Disorders (4 papers) and Inflammatory mediators and NSAID effects (4 papers). The work is most often cited by research in Geriatrics and Gerontology (667 citations), Toxicology (245 citations) and Family Practice (127 citations). Philip D. Hansten has collaborated with scholars based in United States, Japan and Mexico. Frequent co-authors include John R. Horn, Lingtak‐Neander Chan, Daniel C. Malone, Janet L. Stanford, Richard B. Lipton, Michael B. Bottorff, Amy J. Grizzle, Edward P. Armstrong, Jacob Abarca and René H. Levy. Their work appears in journals such as JAMA, American Journal of Epidemiology and Thrombosis and Haemostasis.

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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