Patrick Sharp

1.6k citations
43 papers · 1.2k · h-index 15

Impact in

Papers in

Patrick Sharp

38 papers receiving 1.1k citations

Peers

Patrick Sharp
Comparison fields: 5 of 113
  • Endocrinology, Diabetes and Metabolism 468
  • Cardiology and Cardiovascular Medicine 227
  • Radiology, Nuclear Medicine and Imaging 236
  • Clinical Biochemistry 45
  • Physiology 150
Replace Hiroshi Kitahata with:
Hiroshi Kitahata Japan
Terrance M. Phernetton United States
John J. Pippin United States
Nabil E. Boutagy United States
M Leuténegger France
Luis Rivera Spain
C. E. Ott United States
Joseph Marino United States
Jesper Thulesen Denmark
Svetlana Ignjatović Serbia
Patrick Sharp relative to Hiroshi Kitahata Japan Hiroshi Kitahata's profile →
Citations per field
00.5×6.1×
Hiroshi Kitahata · 1×
Citations per year

Countries citing papers authored by Patrick Sharp

Since Specialization
Citations

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

Fields of papers citing papers by Patrick Sharp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006268
2 1998225
3 1995113
4 202193
5 199467
6 199462
7 199145
8 199144
9 200442
10 201235
11 199326
12 199524
13 201219
14 198719
15 199819
16 200214
17 197113
18 202112
19 19947
20 19876

About Patrick Sharp

Patrick Sharp is a scholar working on Endocrinology, Diabetes and Metabolism, Small Animals, Surgery, Genetics and Anesthesiology and Pain Medicine, having authored 43 papers that have together received 1.2k indexed citations. Recurring topics across this work include Veterinary Pharmacology and Anesthesia (10 papers), Growth Hormone and Insulin-like Growth Factors (8 papers), Diabetes Management and Research (7 papers), Diabetes and associated disorders (6 papers), Anesthesia and Sedative Agents (6 papers), Diet and metabolism studies (4 papers), Metabolism, Diabetes, and Cancer (3 papers) and Antibiotics Pharmacokinetics and Efficacy (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (468 citations), Cardiology and Cardiovascular Medicine (227 citations), Radiology, Nuclear Medicine and Imaging (236 citations), Clinical Biochemistry (45 citations) and Physiology (150 citations). Patrick Sharp has collaborated with scholars based in United Kingdom, United States and Thailand. Frequent co-authors include Desmond G. Johnston, Salem Beshyah, Dhakshinamurthy Vijay Anand, David Lipkin, Avijit Lahiri, David Hopkins, Eric Lim, Leslee J. Shaw, Roger Corder and Rodney A. Foale. Their work appears in journals such as Clinical Endocrinology, Journal of the American Association for Laboratory Animal Science, Metabolism, European Journal of Endocrinology and Diabetes Care.

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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