Nevena Chakarova

766 citations
43 papers · 545 indexed · h-index 13

Nevena Chakarova

38 papers receiving 538 citations

Peers

Nevena Chakarova
Comparison fields: 5 of 90
  • Endocrinology, Diabetes and Metabolism 298
  • Physiology 109
  • Cardiology and Cardiovascular Medicine 92
  • Public Health, Environmental and Occupational Health 115
  • Pharmacy 16
Replace Mai‐Lis Hellénius with:
Mai‐Lis Hellénius Sweden
Xizhao Li China
Hua-zhang Yang China
Matthew F. Bouchonville United States
Lyne Messier Canada
Giovanni Antonio Silverii Italy
Susie Hennings United Kingdom
David Saxon United States
Giuseppe Morino Italy
Anne‐Marie Carreau Canada
Nevena Chakarova relative to Mai‐Lis Hellénius Sweden Mai‐Lis Hellénius's profile →
Citations per field
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Mai‐Lis Hellénius · 1×
Citations per year

Countries citing papers authored by Nevena Chakarova

Since Specialization
Citations

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

Fields of papers citing papers by Nevena Chakarova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20244
3 20222
4 20221
5 202212
6 20214
7 20212
8 20206
9 202027
10 20206
11 20201
12 201948
13 201932
14 20192
15 201820
16 20174
17 20163
18 201185
19 201140
20 200928

About Nevena Chakarova

Nevena Chakarova is a scholar working on Endocrinology, Diabetes and Metabolism, Public Health, Environmental and Occupational Health and Physiology, having authored 43 papers that have together received 545 indexed citations. Recurring topics across this work include Obesity, Physical Activity, Diet (11 papers), Diabetes Management and Research (10 papers), Diabetes and associated disorders (9 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (8 papers), Heart Rate Variability and Autonomic Control (7 papers), Nutritional Studies and Diet (6 papers), Metabolism, Diabetes, and Cancer (6 papers) and Diet and metabolism studies (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (298 citations), Physiology (109 citations) and Cardiology and Cardiovascular Medicine (92 citations). Nevena Chakarova has collaborated with scholars based in Bulgaria, Greece and Spain. Frequent co-authors include Tsvetalina Tankova, Lilia Dakovska, Rumyana Dimova, Iliana Atanassova, Yannis Μanios, Greet Cardon, Jemina Kivelä, Georgi Кirilov, Ivailo Tournev and Velina Guergueltcheva. Their work appears in journals such as Diabetes Research and Clinical Practice, BMC Endocrine Disorders, Nutrition, International Journal of Environmental Research and Public Health and Journal of Nutrition.

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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