Bledar Daka

783 citations
58 papers · 527 · h-index 14

Impact in

Papers in

Bledar Daka

54 papers receiving 509 citations

Peers

Bledar Daka
Comparison fields: 5 of 68
  • Endocrinology, Diabetes and Metabolism 177
  • Cardiology and Cardiovascular Medicine 134
  • Reproductive Medicine 35
  • Physiology 51
  • Epidemiology 48
Replace Eleni Anastasiou with:
Eleni Anastasiou Greece
Hernán García Chile
Chi Sheng Hung Taiwan
John C. Stevenson United Kingdom
Amy Nolan United States
Zohreh Karamizadeh Iran
Başak Özgen Saydam Türkiye
Anna J. Stears United Kingdom
Jee-Aee Im South Korea
Bledar Daka relative to Eleni Anastasiou Greece Eleni Anastasiou's profile →
Citations per field
00.5×2×3×4.3×
Eleni Anastasiou · 1×
Citations per year

Countries citing papers authored by Bledar Daka

Since Specialization
Citations

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

Fields of papers citing papers by Bledar Daka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201243
2 201541
3 201932
4 201829
5 201325
6 201825
7 201421
8 202321
9 201518
10 202018
11 202017
12 202016
13 202315
14 201914
15 202314
16 202413
17 201912
18 201311
19 201611
20 201310

About Bledar Daka

Bledar Daka is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine, Physiology, Clinical Biochemistry and Nephrology, having authored 58 papers that have together received 527 indexed citations. Recurring topics across this work include Hormonal and reproductive studies (12 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (10 papers), Cardiovascular Health and Risk Factors (6 papers), Blood Pressure and Hypertension Studies (4 papers), Adipokines, Inflammation, and Metabolic Diseases (4 papers), Pesticide Exposure and Toxicity (3 papers), Nitric Oxide and Endothelin Effects (3 papers) and Physical Activity and Health (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (177 citations), Cardiology and Cardiovascular Medicine (134 citations), Reproductive Medicine (35 citations), Physiology (51 citations) and Epidemiology (48 citations). Bledar Daka has collaborated with scholars based in Sweden, United States and Australia. Frequent co-authors include Ulf Lindblad, Lennart Råstam, Margareta I. Hellgren, Charlotte Larsson, Thord Rosén, Anna G Nilsson, John Molvin, Margrét Leósdóttir, Martin Magnusson and Amra Jujić. Their work appears in journals such as BMC Cardiovascular Disorders, Endocrine Connections, Scientific Reports, PLoS ONE and Primary care 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.

Explore authors with similar magnitude of impact