P.H. Rolland

1.0k citations
37 papers · 830 · h-index 15

Impact in

    • Inflammatory mediators and NSAID effects
  • Genetics top 10%
    • Estrogen and related hormone effects

Papers in

P.H. Rolland

36 papers receiving 778 citations

Peers

P.H. Rolland
Comparison fields: 5 of 97
  • Pharmacology 243
  • Genetics 245
  • Biochemistry 54
  • Cancer Research 107
  • Cardiology and Cardiovascular Medicine 128
Replace T Akamatsu with:
T Akamatsu Japan
Beverley Koller United States
Naziba Islam United States
Gábor Kökény Hungary
Jin Zheng China
Pervin Vural Türkiye
Koon Soon Kim South Korea
P. Lacolley France
Darshini Trivedi United States
Marina Braun Germany
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Citations per field
00.5×2.7×
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Citations per year

Countries citing papers authored by P.H. Rolland

Since Specialization
Citations

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

Fields of papers citing papers by P.H. Rolland

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1980291
2 199959
3 198459
4 199355
5 197952
6 197931
7 198825
8 200224
9 200420
10 198119
11 198617
12 197717
13 197916
14 200115
15 198115
16 201614
17 199213
18 199611
19 200511
20 198710

About P.H. Rolland

P.H. Rolland is a scholar working on Surgery, Pulmonary and Respiratory Medicine, Cardiology and Cardiovascular Medicine, Molecular Biology and Genetics, having authored 37 papers that have together received 830 indexed citations. Recurring topics across this work include Estrogen and related hormone effects (6 papers), Inflammatory mediators and NSAID effects (4 papers), Antiplatelet Therapy and Cardiovascular Diseases (3 papers), Infectious Aortic and Vascular Conditions (3 papers), Hormonal and reproductive studies (3 papers), Coronary Interventions and Diagnostics (3 papers), Acute Myocardial Infarction Research (3 papers) and Aortic Disease and Treatment Approaches (3 papers). The work is most often cited by research in Pharmacology (243 citations), Genetics (245 citations), Biochemistry (54 citations), Cancer Research (107 citations) and Cardiology and Cardiovascular Medicine (128 citations). P.H. Rolland has collaborated with scholars based in France, Germany and United States. Frequent co-authors include Anne-Laure Rolland, M Toga, Patrick Martin, J. Jacquemier, A Friggi, H. Bodard, Pierre Martin, C Mercier, Jean‐Michel Bartoli and Philippe Piquet. Their work appears in journals such as European Journal of Vascular and Endovascular Surgery, Cancer Chemotherapy and Pharmacology, Molecular and Cellular Endocrinology, Journal of Pharmacology and Experimental Therapeutics and Artificial Organs.

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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