Anna I. Kakafika

3.2k citations
57 papers · 2.3k indexed · h-index 28

Anna I. Kakafika

55 papers receiving 2.3k citations

Peers

Anna I. Kakafika
Comparison fields: 5 of 108
  • Surgery 1.0k
  • Endocrinology, Diabetes and Metabolism 858
  • Epidemiology 594
  • Cardiology and Cardiovascular Medicine 496
  • Nephrology 325
Replace Emmanuel S. Ganotakis with:
Emmanuel S. Ganotakis Greece
Tanja B. Grammer Germany
Genshi Egusa Japan
Athanasios A. Papageorgiou Greece
Blai Coll Spain
Dov Gavish Israel
Yadon Arad United States
Matilda Florentin Greece
You‐Cheol Hwang South Korea
Günther Silbernagel Austria
Anna I. Kakafika relative to Emmanuel S. Ganotakis Greece Emmanuel S. Ganotakis's profile →
Citations per field
00.5×1.5×
Emmanuel S. Ganotakis · 1×
Citations per year

Countries citing papers authored by Anna I. Kakafika

Since Specialization
Citations

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

Fields of papers citing papers by Anna I. Kakafika

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anna I. Kakafika. 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 Anna I. Kakafika. The network helps show where Anna I. Kakafika may publish in the future.

Co-authorship network of co-authors of Anna I. Kakafika

This figure shows the co-authorship network connecting the top 25 collaborators of Anna I. Kakafika. A scholar is included among the top collaborators of Anna I. Kakafika based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Anna I. Kakafika. Anna I. Kakafika is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 36
2 33
3 28
4 11
5 12
6 90
7 8
8 4
9 2
10 23
11 35
12 9
13 23
14
Awareness, treatment and control of the metabolic syndrome and its components: a multicentre Greek study.
47
15 129
16 120
17 70
18 11
19 20
20 22

About Anna I. Kakafika

Anna I. Kakafika is a scholar working on Endocrinology, Diabetes and Metabolism, Nephrology and Surgery, having authored 57 papers that have together received 2.3k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (25 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (16 papers) and Liver Disease Diagnosis and Treatment (9 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (858 citations), Nephrology (325 citations) and Surgery (1.0k citations). Anna I. Kakafika has collaborated with scholars based in Greece, United Kingdom and Norway. Frequent co-authors include Vasilios G. Athyros, Asterios Karagiannis, Κωνσταντίνος Τζιόμαλος, Moses Elisaf, Dimitri P. Mikhailidis, Dimitri P. Mikhailidis, Evangelos Liberopoulos, Athanasios A. Papageorgiou, Emmanuel S. Ganotakis and Panagiotis Anagnostis. Their work appears in journals such as The American Journal of Cardiology, Journal of Lipid Research and American Heart Journal.

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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