P. Gao

412 citations
12 papers · 241 · h-index 6

Impact in

Papers in

P. Gao

11 papers receiving 233 citations

Peers

P. Gao
Comparison fields: 5 of 73
  • Nephrology 45
  • Cardiology and Cardiovascular Medicine 131
  • Geriatrics and Gerontology 18
  • Psychiatry and Mental health 44
  • Endocrinology, Diabetes and Metabolism 42
Replace P. Iaria with:
P. Iaria France
Dídac Parramon Spain
Sarah Pioli Italy
Elena Brioni Italy
Toshiki Kutsuna Japan
Chengsheng Ju United Kingdom
Helen Sheriff United States
Hisako Fujii Japan
Р. А. Либис Russia
Salman Fidahussein United States
P. Gao relative to P. Iaria France P. Iaria's profile →
Citations per field
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P. Iaria · 1×
Citations per year

Countries citing papers authored by P. Gao

Since Specialization
Citations

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

Fields of papers citing papers by P. Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 2012114
2 201183
3 202216
4 20147
5
SAFETY AND EFFICACY OF AGGRESSIVE BLOOD PRESSURE LOWERING AMONG PATIENTS WITH DIABETES: SUBGROUP ANALYSES FROM THE ONTARGET TRIAL
20096
6 20195
7 20103
8 20242
9 20132
10 20251
11
[Clinical study on the effect of shuxuening tablet in treatment of coronary heart disease].
19961
12 20181

About P. Gao

P. Gao is a scholar working on Cardiology and Cardiovascular Medicine, Surgery, Nephrology, Pharmacology and Endocrinology, Diabetes and Metabolism, having authored 12 papers that have together received 241 indexed citations. Recurring topics across this work include Blood Pressure and Hypertension Studies (4 papers), Antiplatelet Therapy and Cardiovascular Diseases (3 papers), Diabetes Treatment and Management (2 papers), Cardiac Health and Mental Health (2 papers), Chronic Kidney Disease and Diabetes (2 papers), Bone health and osteoporosis research (1 paper), Pain Mechanisms and Treatments (1 paper) and Recycled Aggregate Concrete Performance (1 paper). The work is most often cited by research in Nephrology (45 citations), Cardiology and Cardiovascular Medicine (131 citations), Geriatrics and Gerontology (18 citations), Psychiatry and Mental health (44 citations) and Endocrinology, Diabetes and Metabolism (42 citations). P. Gao has collaborated with scholars based in Canada, China and United States. Frequent co-authors include Salim Yusuf, Martin O’Donnell, Jackie Bosch, Peter Sleight, Koon Teo, Irene Marzona, Craig S. Anderson, R. Mitchell, Sankar D. Navaneethan and Antonio Sasso. Their work appears in journals such as European Heart Journal, Nutrition Metabolism and Cardiovascular Diseases, Buildings, Journal of Hypertension and Nephrology Dialysis Transplantation.

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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