P Vague

5.5k citations
95 papers · 4.3k · h-index 35

Impact in

Papers in

    • Diabetes Management and Research 17
    • Diabetes, Cardiovascular Risks, and Lipoproteins 9
    • Diabetes Treatment and Management 8
    • Diet, Metabolism, and Disease 7
    • Pancreatic function and diabetes 25

P Vague

92 papers receiving 4.0k citations

Peers

P Vague
Comparison fields: 5 of 116
  • Endocrinology, Diabetes and Metabolism 1.4k
  • Physiology 728
  • Hematology 315
  • Endocrine and Autonomic Systems 184
  • Cancer Research 374
Replace Lasse Viinikka with:
Lasse Viinikka Finland
Mariella Trovati Italy
Giovanni Anfossi Italy
Olavi Ylikorkala Finland
Hwee Teoh Canada
Yoshimasa Aso Japan
M. Diamant Netherlands
Jean‐Luc Wautier France
Masayoshi Soma Japan
Franco Cavalot Italy
P Vague relative to Lasse Viinikka Finland Lasse Viinikka's profile →
Citations per field
00.5×2.6×
Lasse Viinikka · 1×
Citations per year

Countries citing papers authored by P Vague

Since Specialization
Citations

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

Fields of papers citing papers by P Vague

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 95 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1986382
2 1999262
3 1989258
4 2003233
5 1999201
6 1996201
7
Relationships between plasma insulin triglyceride, body mass index, and plasminogen activator inhibitor 1.
1987197
8 2005182
9 1996121
10 1982117
11 199995
12 200392
13 198090
14 199889
15 200087
16 200370
17 199962
18 199862
19 198961
20 200557

About P Vague

P Vague is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Genetics, Molecular Biology and Physiology, having authored 95 papers that have together received 4.3k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (25 papers), Diabetes and associated disorders (22 papers), Diabetes Management and Research (17 papers), Blood properties and coagulation (11 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (9 papers), Diabetes Treatment and Management (8 papers), Diet, Metabolism, and Disease (7 papers) and Ion Transport and Channel Regulation (7 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.4k citations), Physiology (728 citations), Hematology (315 citations), Endocrine and Autonomic Systems (184 citations) and Cancer Research (374 citations). P Vague has collaborated with scholars based in France, Belgium and United States. Frequent co-authors include I. Juhan‐Vague, Marie‐Christine Alessi, D. Raccah, T. Coste, B. Vialettes, V. Lassmann‐Vague, D Collen, B Janand-Delenne, Martin Jannot and Corinne Hanotin. Their work appears in journals such as Diabetes, Diabetes Care, Acta Diabetologica, Diabetologia and Metabolism.

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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