Bledar Daka

776 citations
57 papers · 479 · h-index 14

Impact in

Papers in

Bledar Daka

55 papers receiving 472 citations

Peers

Bledar Daka
Comparison fields: 5 of 73
  • Endocrinology, Diabetes and Metabolism 140
  • Cardiology and Cardiovascular Medicine 87
  • Reproductive Medicine 34
  • Physiology 50
  • Pharmacology 24
Replace Viviana Mesch with:
Viviana Mesch Argentina
Kyoung‐Ah Kim South Korea
F. Ablondi Italy
Małgorzata Rumińska Poland
V.І. Pankiv Ukraine
Lu‐Ting Chiu Taiwan
Adelina Tsakova Bulgaria
Jee-Aee Im South Korea
Licy L. Yanes Cardozo United States
Hernán García Chile
Bledar Daka relative to Viviana Mesch Argentina Viviana Mesch's profile →
Citations per field
00.5×
Viviana Mesch · 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 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201242
2 201541
3 201928
4 201827
5 201324
6 201823
7 201420
8 202319
9 201517
10 202016
11 202015
12 202014
13 202313
14 202313
15 202412
16 201911
17 201910
18 201310
19 201310
20 201610

About Bledar Daka

Bledar Daka is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine, Physiology, Molecular Biology and Genetics, having authored 57 papers that have together received 479 indexed citations. Recurring topics across this work include Hormonal and reproductive studies (11 papers), Cardiovascular Health and Risk Factors (7 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), Cardiovascular Health and Disease Prevention (4 papers), Nitric Oxide and Endothelin Effects (3 papers), Pesticide Exposure and Toxicity (3 papers), Muscle metabolism and nutrition (2 papers) and Blood Pressure and Hypertension Studies (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (140 citations), Cardiology and Cardiovascular Medicine (87 citations), Reproductive Medicine (34 citations), Physiology (50 citations) and Pharmacology (24 citations). Bledar Daka has collaborated with scholars based in Sweden, United States and Australia. Frequent co-authors include Ulf Lindblad, Lennart Råstam, Margareta Hellgren, Charlotte Larsson, Thord Rosén, Anna G Nilsson, Martin Magnusson, Peter M. Nilsson, Margrét Leósdóttir and Olle Melander. Their work appears in journals such as BMC Cardiovascular Disorders, Endocrine Connections, Scientific Reports, Primary care diabetes and Circulation.

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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