P. Roma

890 citations
27 papers · 739 · h-index 17

Impact in

Papers in

    • Lipoproteins and Cardiovascular Health 7
    • Cholesterol and Lipid Metabolism 5
    • Antioxidant Activity and Oxidative Stress 9

P. Roma

26 papers receiving 712 citations

Peers

P. Roma
Comparison fields: 5 of 70
  • Biochemistry 129
  • Endocrinology, Diabetes and Metabolism 179
  • Immunology 157
  • Surgery 264
  • Cancer Research 85
Replace Fabienne Nigon with:
Fabienne Nigon France
H. A. Dresel Germany
Kevin J. Milliner United Kingdom
T Mazzone United States
Isabelle Suc France
Kristin L. Gillotte United States
Carol L. Heideman United States
Kathrin Heermeier Germany
F.H. Mahlberg United States
Dale Newland United States
P. Roma relative to Fabienne Nigon France Fabienne Nigon's profile →
Citations per field
00.5×1.5×
Fabienne Nigon · 1×
Citations per year

Countries citing papers authored by P. Roma

Since Specialization
Citations

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

Fields of papers citing papers by P. Roma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993104
2 199455
3 199252
4 200750
5
Apoptosis and proliferation of endothelial cells in early atherosclerotic lesions: possible role of oxidised LDL.
200249
6 199247
7 199043
8 199638
9 199636
10 198335
11 198334
12 199533
13 198625
14 198424
15 200722
16 199818
17 198316
18 200016
19 199013
20 199911

About P. Roma

P. Roma is a scholar working on Surgery, Biochemistry, Molecular Biology, Endocrinology, Diabetes and Metabolism and Immunology, having authored 27 papers that have together received 739 indexed citations. Recurring topics across this work include Antioxidant Activity and Oxidative Stress (9 papers), Lipoproteins and Cardiovascular Health (7 papers), Atherosclerosis and Cardiovascular Diseases (7 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers), Heat shock proteins research (5 papers), Cholesterol and Lipid Metabolism (5 papers), Cell Adhesion Molecules Research (3 papers) and Endoplasmic Reticulum Stress and Disease (2 papers). The work is most often cited by research in Biochemistry (129 citations), Endocrinology, Diabetes and Metabolism (179 citations), Immunology (157 citations), Surgery (264 citations) and Cancer Research (85 citations). P. Roma has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Alberico L. Catapano, Weimin Zhu, Fabio Pellegatta, R. Fumagalli, Angela Pirillo, Franco Bernini, H. Bryan Brewer, Rosemary Ronan, Giuseppe Danilo Norata and Cesare R. Sirtori. Their work appears in journals such as Atherosclerosis, Journal of Lipid Research, Biochemical and Biophysical Research Communications, Journal of Clinical Investigation and FEBS Letters.

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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