Philip T. Leese

3.3k citations
51 papers · 2.6k indexed · 1 hit paper · h-index 23
Topics
Analytical Methods in Pharmaceuticals (5 papers)Antiplatelet Therapy and Cardiovascular Diseases (5 papers)Inflammatory mediators and NSAID effects (5 papers)

In The Last Decade

Philip T. Leese

50 papers receiving 2.5k citations

Hit Papers

A Single-Dose Placebo-Controlled Study of AMG 162, a Full...20042026201120182004100200300400500

Peers

Philip T. Leese
Comparison fields: 5 of 114
  • Oncology 963
  • Molecular Biology 917
  • Orthopedics and Sports Medicine 517
  • Pharmacology 442
  • Surgery 366
Replace Ji‐An Liang with:
Ji‐An Liang Taiwan
Abdullah Kutlar United States
Carmen C. Solórzano United States
G. Ferretti Italy
Richard A. Prinz United States
Konstantinos Syrigos Greece
Svetlana Krasnokutsky United States
Masahiko Okamoto Japan
Jürg Hamacher Germany
Paolo Rigotti Italy
Philip T. Leese relative to Ji‐An Liang Taiwan Ji‐An Liang's profile →
Citations per field
00.5×6.2×
Ji‐An Liang · 1×
Citations per year

Countries citing papers authored by Philip T. Leese

Since Specialization
Citations

This map shows the geographic impact of Philip T. Leese'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 T. Leese with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philip T. Leese more than expected).

Fields of papers citing papers by Philip T. Leese

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philip T. Leese

This figure shows the co-authorship network connecting the top 25 collaborators of Philip T. Leese. A scholar is included among the top collaborators of Philip T. Leese based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Philip T. Leese. Philip T. Leese is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 115
2 52
3 8
4 52
5 62
6 23
7 38
8 28
9 15
10 41
11 294
12 15
13 15
14 1
15 4
16 15
17 100
18 19
19 6
20 3

About Philip T. Leese

Philip T. Leese is a scholar working on Pharmacology, Internal Medicine and Analytical Chemistry, having authored 51 papers that have together received 2.6k indexed citations. Recurring topics across this work include Analytical Methods in Pharmaceuticals (5 papers), Antiplatelet Therapy and Cardiovascular Diseases (5 papers) and Inflammatory mediators and NSAID effects (5 papers). The work is most often cited by research in Orthopedics and Sports Medicine (517 citations), Oncology (963 citations) and Internal Medicine (129 citations). Philip T. Leese has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Donna Holloway, Pirow Bekker, Colin R. Dunstan, Steven W. Martin, Robyn Murphy, Alex M. DePaoli, Gregory B. Holmes, Michael Arrighi, Arline Nakanishi and Peter C. Isakson. Their work appears in journals such as Blood, Journal of the American College of Cardiology and Clinical 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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