Vassen Pauvaday

19 total papers · 705 total citations
14 papers, 488 citations indexed

About

Vassen Pauvaday is a scholar working on Endocrinology, Diabetes and Metabolism, Epidemiology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Vassen Pauvaday has authored 14 papers receiving a total of 488 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Endocrinology, Diabetes and Metabolism, 5 papers in Epidemiology and 4 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Vassen Pauvaday's work include Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers), Liver Disease Diagnosis and Treatment (3 papers) and Metabolism, Diabetes, and Cancer (3 papers). Vassen Pauvaday is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers), Liver Disease Diagnosis and Treatment (3 papers) and Metabolism, Diabetes, and Cancer (3 papers). Vassen Pauvaday collaborates with scholars based in Australia, Finland and United Kingdom. Vassen Pauvaday's co-authors include Stefan Söderberg, Paul Zimmet, Jaakko Tuomilehto, Jonathan E. Shaw, Stephen D. Luzio, Gareth Dunseath, David R. Owens, K. G. M. M. Alberti, Pierrot Chitson and Qing Qiao and has published in prestigious journals such as Diabetes Care, Diabetologia and International Journal of Cancer.

In The Last Decade

Vassen Pauvaday

14 papers receiving 471 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Vassen Pauvaday	267	111	105	94	79	14	488
Ana Monterrosa	224 0.8×	75 0.7×	88 0.8×	68 0.7×	93 1.2×	8	416
Leay‐Kiaw Er	237 0.9×	65 0.6×	186 1.8×	132 1.4×	75 0.9×	12	450
Magdalena Sevilla-González	229 0.9×	57 0.5×	155 1.5×	115 1.2×	94 1.2×	16	504
G Mazzilli	188 0.7×	127 1.1×	192 1.8×	74 0.8×	98 1.2×	12	416
P Gasparini	275 1.0×	73 0.7×	109 1.0×	151 1.6×	115 1.5×	10	462
Kazuya Fujihara	263 1.0×	126 1.1×	102 1.0×	108 1.1×	104 1.3×	23	510
Qiqige Aleteng	209 0.8×	80 0.7×	175 1.7×	140 1.5×	172 2.2×	13	477
B Y Tan	247 0.9×	71 0.6×	108 1.0×	63 0.7×	57 0.7×	9	415
C J Seaborn	219 0.8×	126 1.1×	129 1.2×	116 1.2×	195 2.5×	11	524
Shūichi Katoh	219 0.8×	35 0.3×	97 0.9×	125 1.3×	78 1.0×	12	434

Countries citing papers authored by Vassen Pauvaday

Since Specialization

Citations

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

Fields of papers citing papers by Vassen Pauvaday

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vassen Pauvaday

This figure shows the co-authorship network connecting the top 25 collaborators of Vassen Pauvaday. A scholar is included among the top collaborators of Vassen Pauvaday 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 Vassen Pauvaday. Vassen Pauvaday is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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