M. Vulpillat

17 papers receiving 341 citations

Peers

M. Vulpillat
Comparison fields: 5 of 79
  • Cardiology and Cardiovascular Medicine 100
  • Surgery 84
  • Radiology, Nuclear Medicine and Imaging 83
  • Endocrinology, Diabetes and Metabolism 73
  • Clinical Psychology 51
Replace P Danø with:
P Danø Denmark
Kaan Demirören Türkiye
Yoshihiro Imazu Japan
H. Lydtin Germany
Armin Rajab Iran
Kazushige IINUMA Japan
Aruchuna Ruban United Kingdom
Jean‐Pierre Ferré France
Linda A. Linday United States
Jelena Curcic Switzerland
M. Vulpillat relative to P Danø Denmark P Danø's profile →
Citations per field
00.5×5.3×
P Danø · 1×
Citations per year

Countries citing papers authored by M. Vulpillat

Since Specialization
Citations

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

Fields of papers citing papers by M. Vulpillat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Vulpillat

This figure shows the co-authorship network connecting the top 25 collaborators of M. Vulpillat. A scholar is included among the top collaborators of M. Vulpillat based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with M. Vulpillat. M. Vulpillat is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 5
2 68
3 5
4 0
5 24
6 36
7 13
8
Assessment by dipyridamole-thallium-201 myocardial scintigraphy of coronary risk before peripheral vascular surgery.
71
9 93
10
[Evaluation by myocardial thallium-201 scintigraphy using dipyridamole of the coronary risk in peripheral vascular surgery].
1
11 8
12 5
13
Blood, liver and lung kinetics of technetium-99m-labelled granulocytes in the rat. Study by external monitoring with a gamma camera.
0
14 8
15 10
16 1
17 3
18 9
19 7
20
[Thyroid disorders during sarcoidosis (author's transl)].
2

About M. Vulpillat

M. Vulpillat is a scholar working on Pharmacology, Oncology and Radiology, Nuclear Medicine and Imaging, having authored 20 papers that have together received 369 indexed citations. Recurring topics across this work include Antibiotics Pharmacokinetics and Efficacy (8 papers), Drug Transport and Resistance Mechanisms (6 papers) and Cardiac Imaging and Diagnostics (4 papers). The work is most often cited by research in Gastroenterology (37 citations), Endocrinology, Diabetes and Metabolism (73 citations) and Cardiology and Cardiovascular Medicine (100 citations). M. Vulpillat has collaborated with scholars based in France. Frequent co-authors include A. Meulemans, M. Merrouche, D Rigaud, S Bonfils, M Apfelbaum, J. Mohler, R. N. Sachs, M Izembart, R E Merceron and J Azorin. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Antimicrobial Agents and Chemotherapy and European Journal of Nuclear Medicine and Molecular Imaging.

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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