Philip Green

17.2k citations
167 papers · 12.8k indexed · 2 hit papers · h-index 40

Impact in

Papers in

Philip Green

157 papers receiving 12.1k citations

Hit Papers

Frailty Assessment in the Cardiovascular Care of Older Adults 2013 · 806 citations
806198720262000201310002.0k3.0k4.0k5.0k

Peers

Philip Green
Comparison fields: 5 of 205
  • Geriatrics and Gerontology 759
  • Plant Science 5.0k
  • Genetics 2.9k
  • Cardiology and Cardiovascular Medicine 2.3k
  • Algebra and Number Theory 412
Replace Michael J. Daniels with:
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Philip Green relative to Michael J. Daniels United States Michael J. Daniels's profile →
Citations per field
00.5×6.9×
Michael J. Daniels · 1×
Citations per year

Countries citing papers authored by Philip Green

Since Specialization
Citations

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

Fields of papers citing papers by Philip Green

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20232
2 20234
3 20228
4 20221
5 20225
6 202119
7 20205
8 202010
9 20190
10 20192
11 201719
12 20163
13 20165
14 2015183
15 2014161
16 20121
17 2009148
18 199990
19
Affirmative Action and the Individualist Principle.
19812
20
Power and community : dissenting essays in political science
197037

About Philip Green

Philip Green is a scholar working on Research and Theory, Internal Medicine, Cardiology and Cardiovascular Medicine, Algebra and Number Theory and Geriatrics and Gerontology, having authored 167 papers that have together received 12.8k indexed citations. Recurring topics across this work include Cardiac Valve Diseases and Treatments (30 papers), Cardiac Imaging and Diagnostics (14 papers), Cardiac, Anesthesia and Surgical Outcomes (14 papers), Venous Thromboembolism Diagnosis and Management (12 papers), Infective Endocarditis Diagnosis and Management (12 papers), Phonocardiography and Auscultation Techniques (11 papers), Cardiovascular Function and Risk Factors (11 papers) and Mental Health Treatment and Access (8 papers). The work is most often cited by research in Geriatrics and Gerontology (759 citations), Plant Science (5.0k citations), Genetics (2.9k citations), Cardiology and Cardiovascular Medicine (2.3k citations) and Algebra and Number Theory (412 citations). Philip Green has collaborated with scholars based in United States, Canada and Finland. Frequent co-authors include Eric S. Lander, Stephen E. Lincoln, Mark J. Daly, Aaron Barlow, Jeff Abrahamson, Charles Glisson, Mathew S. Maurer, Michael J. Mack, Sonja K. Schoenwald and Nathaniel J. Williams. Their work appears in journals such as Journal of the American College of Cardiology, Genomics, The American Journal of Cardiology, Administration and Policy in Mental Health and Mental Health Services Research and JACC: Cardiovascular Interventions.

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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