P Passa

3.1k citations
58 papers · 2.2k · h-index 16

Impact in

Papers in

P Passa

55 papers receiving 2.1k citations

Peers

P Passa
Comparison fields: 5 of 84
  • Clinical Biochemistry 402
  • Endocrinology, Diabetes and Metabolism 638
  • Surgery 1.2k
  • Genetics 713
  • Molecular Biology 847
Replace C.Ronald Kahn with:
C.Ronald Kahn United States
M. Anello Italy
Xiaoxin X. Wang United States
David R. Powell United States
Takeshi Ogihara Japan
Catherine E. Gleason United States
Giovanni Patanè Italy
Peter A. Antinozzi United States
Shigeru Yatoh Japan
Naotake Hashimoto Japan
P Passa relative to C.Ronald Kahn United States C.Ronald Kahn's profile →
Citations per field
00.5×4.7×
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-authors

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

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992448
2 1992443
3 1995299
4 1994221
5 1997195
6 1995126
7 2000114
8 199646
9 197438
10
Multicentre evaluation of the DCA 2000 system for measuring glycated haemoglobin. DCA 2000 Study Group.
199725
11 199625
12
Platelets and diabetic vascular disease.
198320
13 198216
14 197816
15
Non-invasive identification of severe coronary artery disease in patients with long-standing diabetes mellitus.
199216
16
Determinants of elevated urinary albumin in the 4,937 type 2 diabetic subjects recruited for the DIABHYCAR Study in Western Europe and North Africa.
200016
17 199813
18 199012
19 198012
20
Genetic determinants of type 2 diabetes mellitus: lessons learned from family studies.
199311

About P Passa

P Passa is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Molecular Biology, Cardiology and Cardiovascular Medicine and Genetics, 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), Paraoxonase enzyme and polymorphisms (4 papers) and Iron Metabolism and Disorders (3 papers). The work is most often cited by research in Clinical Biochemistry (402 citations), Endocrinology, Diabetes and Metabolism (638 citations), Surgery (1.2k citations), Genetics (713 citations) and Molecular Biology (847 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, Markus Stoffel, Jun Takeda, Juan Carlos Ruiz, Martine Vaxillaire and Philippe Froguel. Their work appears in journals such as Diabetologia, Nature, European Radiology, The Lancet and Atherosclerosis.

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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