P Passa

3.1k citations
59 papers · 2.5k · h-index 17

Impact in

Papers in

P Passa

55 papers receiving 2.3k citations

Peers

P Passa
Comparison fields: 5 of 88
  • Clinical Biochemistry 419
  • Endocrinology, Diabetes and Metabolism 735
  • Surgery 1.3k
  • Genetics 801
  • Molecular Biology 918
Replace Stefan-Martin Herrmann with:
Stefan-Martin Herrmann Germany
Franz Krempler Austria
Marcello Anello Italy
David R. Powell United States
Takeshi Ogihara Japan
John M. Basgen United States
Roderick Paul Robertson United States
Xiaoxin X. Wang United States
Fumio Umeda Japan
Shigeru Yatoh Japan
P Passa relative to Stefan-Martin Herrmann Germany Stefan-Martin Herrmann's profile →
Citations per field
00.5×2×4×6×7.2×
Stefan-Martin Herrmann · 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 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992492
2 1992488
3 1995309
4 1994244
5 1997211
6 1995137
7 2000119
8 199652
9 198043
10 197439
11 199627
12
Multicentre evaluation of the DCA 2000 system for measuring glycated haemoglobin. DCA 2000 Study Group.
199725
13
Platelets and diabetic vascular disease.
198320
14 198220
15 197819
16 199117
17
Non-invasive identification of severe coronary artery disease in patients with long-standing diabetes mellitus.
199217
18
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
19 198014
20
Genetic analyses of glucose transporter genes in French non-insulin-dependent diabetic families.
199714

About P Passa

P Passa is a scholar working on Endocrinology, Diabetes and Metabolism, Clinical Biochemistry, Surgery, Cardiology and Cardiovascular Medicine and Genetics, having authored 59 papers that have together received 2.5k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (10 papers), Metabolism, Diabetes, and Cancer (9 papers), Diabetes and associated disorders (6 papers), Diabetes Treatment and Management (6 papers), Diabetes Management and Research (5 papers), Diet, Metabolism, and Disease (5 papers), Antiplatelet Therapy and Cardiovascular Diseases (4 papers) and Paraoxonase enzyme and polymorphisms (4 papers). The work is most often cited by research in Clinical Biochemistry (419 citations), Endocrinology, Diabetes and Metabolism (735 citations), Surgery (1.3k citations), Genetics (801 citations) and Molecular Biology (918 citations). P Passa has collaborated with scholars based in France, United States and Switzerland. Frequent co-authors include Ph. Froguel, Gilberto Velho, Nathalie Vionnet, Daniel Cohen, Habib Zouali, Markus P. Stoffel, Jun Takeda, Philippe Froguel, Juan Carlos Ruiz and Martine Vaxillaire. Their work appears in journals such as Diabetologia, The Lancet, Nature, European Radiology 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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