Pia Leete

2.6k total citations
24 papers, 1.7k citations indexed

About

Pia Leete is a scholar working on Genetics, Surgery and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Pia Leete has authored 24 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Genetics, 21 papers in Surgery and 16 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Pia Leete's work include Diabetes and associated disorders (21 papers), Pancreatic function and diabetes (21 papers) and Diabetes Management and Research (16 papers). Pia Leete is often cited by papers focused on Diabetes and associated disorders (21 papers), Pancreatic function and diabetes (21 papers) and Diabetes Management and Research (16 papers). Pia Leete collaborates with scholars based in United Kingdom, United States and Norway. Pia Leete's co-authors include Sarah J. Richardson, Noel G. Morgan, Knut Dahl‐Jørgensen, Lars Krogvold, Alan K. Foulis, Abby Willcox, Mark A. Russell, A. J. Bone, A. K. Foulis and Richard A. Oram and has published in prestigious journals such as Diabetes Care, Diabetes and Journal of Virology.

In The Last Decade

Pia Leete

23 papers receiving 1.7k citations

Peers

Pia Leete
Comparison fields: 5 of 75
  • Genetics 1.4k
  • Surgery 1.1k
  • Endocrinology, Diabetes and Metabolism 942
  • Immunology 362
  • Molecular Biology 194
Replace Fariba Vaziri‐Sani with:
Fariba Vaziri‐Sani Sweden
Hanne E. Akselsen Norway
J P Mordes United States
Ivana Durinovic‐Belló Germany
John Marker United States
Evridiki Sgouroudis Canada
Michele P. Marron United States
Frans G. M. Kroese Netherlands
Michael Hühn Sweden
Mia Westerholm‐Ormio Finland
Fariba Vaziri‐Sani Sweden View profile →
Citations per field, relative to Pia Leete
Pia Leete · 1×
Citations per year, relative to Pia Leete
Pia Leete · 1×

Countries citing papers authored by Pia Leete

Since Specialization
Citations

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

Fields of papers citing papers by Pia Leete

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pia Leete

This figure shows the co-authorship network connecting the top 25 collaborators of Pia Leete. A scholar is included among the top collaborators of Pia Leete 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 Pia Leete. Pia Leete 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
# Work Indexed citations
1 0
2 1
3 9
4 6
5 3
6 11
7 8
8 31
9 109
10 98
11 75
12 55
13 143
14 45
15 241
16 221
17
Blood and Islet Phenotypes Indicate Immunological Heterogeneity in Type 1 Diabetes (vol 63, pg 3835, 2014)
1
18 30
19 37
20 109

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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