Péter Stella

1.3k citations
30 papers · 887 · h-index 14

Impact in

Papers in

Péter Stella

30 papers receiving 821 citations

Peers

Péter Stella
Comparison fields: 5 of 88
  • Endocrinology, Diabetes and Metabolism 452
  • Urology 40
  • Accounting 51
  • Economics and Econometrics 108
  • General Economics, Econometrics and Finance 29
Replace R. Nandagopal with:
R. Nandagopal United States
J. B. Silvers United States
Daniel Cooper United States
Laura Policardo Italy
Jason Somerville United States
Rahul K. Sharma United States
Neil Solomon United States
Kyung Min Lee South Korea
D. Barlow United Kingdom
David Wong United States
Péter Stella relative to R. Nandagopal United States R. Nandagopal's profile →
Citations per field
00.5×10×20×29×
R. Nandagopal · 1×
Citations per year

Countries citing papers authored by Péter Stella

Since Specialization
Citations

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

Fields of papers citing papers by Péter Stella

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018140
2 2015102
3 201795
4 201591
5 200070
6 199664
7 200058
8 201250
9 199149
10 201932
11 199326
12 200524
13 201922
14 201820
15 20186
16 20145
17 19895
18 20184
19 20204
20 20243

About Péter Stella

Péter Stella is a scholar working on Endocrinology, Diabetes and Metabolism, Economics and Econometrics, Molecular Biology, Accounting and Political Science and International Relations, having authored 30 papers that have together received 887 indexed citations. Recurring topics across this work include Diabetes Management and Research (11 papers), Diabetes Treatment and Management (8 papers), Fiscal Policy and Economic Growth (4 papers), Metabolism, Diabetes, and Cancer (4 papers), Taxation and Compliance Studies (3 papers), Corporate Taxation and Avoidance (3 papers), Fiscal Policies and Political Economy (2 papers) and Local Government Finance and Decentralization (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (452 citations), Urology (40 citations), Accounting (51 citations), Economics and Econometrics (108 citations) and General Economics, Econometrics and Finance (29 citations). Péter Stella has collaborated with scholars based in United States, France and Hungary. Frequent co-authors include Anna M. G. Cali, Trevor J. Orchard, Gabriel Kim, Afshin Salsali, Anita Vedel Christiansen, Flavien Roux, Uli C. Broedl, Ludwig Merker, Gordon A. Mackenzie and Demetrius Ellis. Their work appears in journals such as Diabetes Therapy, Diabetes, Diabetes Obesity and Metabolism, Diabetes Research and Clinical Practice and Acta Dermato Venereologica.

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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