Dragi Anevski

1.6k citations
21 papers · 1.1k · h-index 9

Impact in

Papers in

Dragi Anevski

20 papers receiving 1.0k citations

Peers

Dragi Anevski
Comparison fields: 5 of 120
  • Endocrinology, Diabetes and Metabolism 332
  • Genetics 447
  • Surgery 367
  • Medical Terminology 2
  • Cardiology and Cardiovascular Medicine 177
Replace Sharon L.R. Kardia with:
Sharon L.R. Kardia United States
Charlotta Roos Sweden
Marlena Maziarz United States
Marisa W. Medina United States
Mathew Barber United Kingdom
Aldi T. Kraja United States
Christian M. Shaffer United States
Nadeem Sarwar United Kingdom
Brian Topp United States
Vincent K. Lam United States
Dragi Anevski relative to Sharon L.R. Kardia United States Sharon L.R. Kardia's profile →
Citations per field
00.5×1.7×
Sharon L.R. Kardia · 1×
Citations per year

Countries citing papers authored by Dragi Anevski

Since Specialization
Citations

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

Fields of papers citing papers by Dragi Anevski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008494
2 2005268
3 2005104
4 200669
5 200836
6 200628
7 200821
8 200713
9 201113
10 20038
11
Optimization of opportunistic replacement activities: A case study in the aircraft industry
20078
12 20176
13 20025
14 20084
15
Deconvolution under monotonicity assumptions
19993
16 20182
17 20181
18 20071
19 20061
20 20081

About Dragi Anevski

Dragi Anevski is a scholar working on Molecular Biology, Statistics and Probability, Artificial Intelligence, Genetics and Surgery, having authored 21 papers that have together received 1.1k indexed citations. Recurring topics across this work include Statistical Methods and Inference (6 papers), Bayesian Methods and Mixture Models (5 papers), Metabolism, Diabetes, and Cancer (3 papers), Advanced Statistical Methods and Models (3 papers), Pancreatic function and diabetes (2 papers), Statistical Methods and Bayesian Inference (2 papers), Ecosystem dynamics and resilience (2 papers) and Adipose Tissue and Metabolism (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (332 citations), Genetics (447 citations), Surgery (367 citations), Medical Terminology (2 citations) and Cardiology and Cardiovascular Medicine (177 citations). Dragi Anevski has collaborated with scholars based in Sweden, Finland and United States. Frequent co-authors include Leif Groop, Marju Orho‐Melander, Olle Melander, David Altshuler, Sekar Kathiresan, Göran Berglund, Joel N. Hirschhorn, Noël P. Burtt, Charlotta Roos and Christopher Newton‐Cheh. Their work appears in journals such as The Annals of Statistics, PLoS Medicine, Diabetes & Metabolic Syndrome Clinical Research & Reviews, Bernoulli and Diabetes.

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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