P Passa

3.1k citations
58 papers · 2.2k indexed · h-index 17

P Passa

55 papers receiving 2.1k citations

Peers

P Passa
Comparison fields: 5 of 92
  • Clinical Biochemistry 412
  • Endocrinology, Diabetes and Metabolism 760
  • Genetics 833
  • Surgery 1.2k
  • Biochemistry 114
Replace C.Ronald Kahn with:
C.Ronald Kahn United States
Azuma Kanatsuka Japan
M. Anello Italy
David R. Powell United States
Yolanta T. Kruszynska United Kingdom
Jörg Kotzka Germany
Jamila Fruchart‐Najib France
Kathleen M. Curnow United States
Giovanni Patanè Italy
Peter A. Antinozzi United States
P Passa relative to C.Ronald Kahn United States C.Ronald Kahn's profile →
Citations per field
00.5×4.5×
C.Ronald Kahn · 1×
Citations per year

Countries citing papers authored by P Passa

Since Specialization
Citations

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

Fields of papers citing papers by P Passa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 2000114
2 199813
3
Multicentre evaluation of the DCA 2000 system for measuring glycated haemoglobin. DCA 2000 Study Group.
199725
4 1997195
5 19974
6 199625
7 199646
8 19959
9 1995300
10 1995126
11 19945
12 1994221
13
Genetic determinants of type 2 diabetes mellitus: lessons learned from family studies.
199311
14 19935
15 1992444
16 19912
17 199012
18
Immunonéphélémétrie-laser pour le dosage de l'excrétion urinaire d'albumine.
19860
19
[Pathogenesis of tachycardia in hyperthyroidism. Value of Holter monitoring and the use of a beta-blocker].
19851
20 198012

About P Passa

P Passa is a scholar working on Endocrinology, Diabetes and Metabolism, Clinical Biochemistry, Cardiology and Cardiovascular Medicine, Nephrology and Surgery, having authored 58 papers that have together received 2.2k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (10 papers), Metabolism, Diabetes, and Cancer (9 papers), Diabetes and associated disorders (7 papers), Diabetes Management and Research (6 papers), Diabetes Treatment and Management (6 papers), Diet, Metabolism, and Disease (5 papers), Cardiovascular Function and Risk Factors (4 papers) and Paraoxonase enzyme and polymorphisms (4 papers). The work is most often cited by research in Clinical Biochemistry (412 citations), Endocrinology, Diabetes and Metabolism (760 citations), Genetics (833 citations), Surgery (1.2k citations) and Biochemistry (114 citations). P Passa has collaborated with scholars based in France, United States and Switzerland. Frequent co-authors include Ph. Froguel, Nathalie Vionnet, Gilberto Velho, Daniel Cohen, Habib Zouali, Jun Takeda, Markus Stoffel, Juan Carlos Ruiz, Clément Korenbaum and Philippe Froguel. Their work appears in journals such as Diabetologia, Nature, Atherosclerosis, European Radiology and The Lancet.

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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