Bledar Daka

712 citations
55 papers · 450 · h-index 13

Impact in

Papers in

Bledar Daka

52 papers receiving 444 citations

Peers

Bledar Daka
Comparison fields: 5 of 76
  • Endocrinology, Diabetes and Metabolism 179
  • Cardiology and Cardiovascular Medicine 140
  • Reproductive Medicine 48
  • Pharmacology 50
  • Physiology 65
Replace Lourdes Basurto with:
Lourdes Basurto Mexico
V. Robert France
Kan Sun China
Eleni Anastasiou Greece
Yoon Jeong Cho South Korea
Elham Kazemian Iran
Cindy Meun Netherlands
Britt-Marie Ellsinger Netherlands
Pía Riestra United States
Viviana Mesch Argentina
Bledar Daka relative to Lourdes Basurto Mexico Lourdes Basurto's profile →
Citations per field
00.5×3.3×
Lourdes Basurto · 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 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201242
2 201541
3 201927
4 201826
5 201823
6 201323
7 201420
8 201517
9 202316
10 202015
11 202014
12 202313
13 202012
14 202312
15 201310
16 201610
17 201310
18 201910
19 20199
20 20248

About Bledar Daka

Bledar Daka is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Physiology, Pharmacology and Public Health, Environmental and Occupational Health, having authored 55 papers that have together received 450 indexed citations. Recurring topics across this work include Cardiovascular Health and Risk Factors (11 papers), Hormonal and reproductive studies (10 papers), Cardiovascular Health and Disease Prevention (6 papers), Pharmacology and Obesity Treatment (6 papers), Heart Rate Variability and Autonomic Control (5 papers), Cardiac Health and Mental Health (5 papers), Blood Pressure and Hypertension Studies (4 papers) and Muscle metabolism and nutrition (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (179 citations), Cardiology and Cardiovascular Medicine (140 citations), Reproductive Medicine (48 citations), Pharmacology (50 citations) and Physiology (65 citations). Bledar Daka has collaborated with scholars based in Sweden, United States and Australia. Frequent co-authors include Ulf Lindblad, Lennart Råstam, Charlotte Larsson, Margareta Hellgren, Thord Rosén, Anna G Nilsson, Martin Magnusson, Per‐Anders Jansson, Robert D. Langer and Amra Jujić. Their work appears in journals such as Endocrine Connections, BMC Cardiovascular Disorders, Scientific Reports, Primary care diabetes and Scandinavian Journal of Public Health.

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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