Antoni Paul

3.2k citations
48 papers · 2.5k · h-index 25

Impact in

Papers in

    • Cholesterol and Lipid Metabolism 9
    • Pancreatic function and diabetes 4
    • Lipid metabolism and biosynthesis 12

Antoni Paul

48 papers receiving 2.5k citations

Peers

Antoni Paul
Comparison fields: 5 of 108
  • Biochemistry 484
  • Clinical Biochemistry 237
  • Epidemiology 604
  • Immunology 381
  • Endocrine and Autonomic Systems 103
Replace Šárka Lhoták with:
Šárka Lhoták Canada
Minako Imamura Japan
Gilles Nalbone France
G. Béréziat France
Anne‐Marie Lefebvre France
Michiyo Amemiya-Kudo Japan
Geneviève Renier Canada
Janet D. Sparks United States
Sophie Lestavel France
Myoung Sook Han United States
Antoni Paul relative to Šárka Lhoták Canada Šárka Lhoták's profile →
Citations per field
00.5×1.5×2.1×
Šárka Lhoták · 1×
Citations per year

Countries citing papers authored by Antoni Paul

Since Specialization
Citations

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

Fields of papers citing papers by Antoni Paul

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004300
2 2006262
3 2002246
4 2009196
5 2002184
6 2008140
7 2009137
8 199975
9 200172
10 201655
11 201154
12 200953
13 200553
14 201647
15 200846
16 200045
17 202044
18 200241
19 201340
20 200131

About Antoni Paul

Antoni Paul is a scholar working on Surgery, Biochemistry, Molecular Biology, Physiology and Cardiology and Cardiovascular Medicine, having authored 48 papers that have together received 2.5k indexed citations. Recurring topics across this work include Lipid metabolism and biosynthesis (12 papers), Cholesterol and Lipid Metabolism (9 papers), Adipose Tissue and Metabolism (5 papers), Adipokines, Inflammation, and Metabolic Diseases (5 papers), Atherosclerosis and Cardiovascular Diseases (5 papers), Pancreatic function and diabetes (4 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers) and RNA Research and Splicing (3 papers). The work is most often cited by research in Biochemistry (484 citations), Clinical Biochemistry (237 citations), Epidemiology (604 citations), Immunology (381 citations) and Endocrine and Autonomic Systems (103 citations). Antoni Paul has collaborated with scholars based in United States, Spain and Germany. Frequent co-authors include Lawrence Chan, Vijay Yechoor, Lan Li, Benny Hung‐Junn Chang, Jorge Joven, Young‐Hwa Goo, Kerry W.S. Ko, Jordi Camps, Lawrence Chan and Hideto Kojima. Their work appears in journals such as British journal of surgery, Scientific Reports, Atherosclerosis, Journal of the American Heart Association and Circulation.

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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