K Kuba

1.3k total citations
20 papers, 1.1k citations indexed

About

K Kuba is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism and Nutrition and Dietetics. According to data from OpenAlex, K Kuba has authored 20 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Surgery, 11 papers in Endocrinology, Diabetes and Metabolism and 5 papers in Nutrition and Dietetics. Recurrent topics in K Kuba's work include Lipoproteins and Cardiovascular Health (10 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (8 papers) and Cancer, Lipids, and Metabolism (5 papers). K Kuba is often cited by papers focused on Lipoproteins and Cardiovascular Health (10 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (8 papers) and Cancer, Lipids, and Metabolism (5 papers). K Kuba collaborates with scholars based in United States, Canada and Russia. K Kuba's co-authors include Ivan D. Frantz, Mary E. Dempsey, Bernard W. Steele, Ellen A. Dawson, Laël C. Gatewood, Glenn E. Bartsch, David R. Jacobs, T.P. Blaszkowski, P D Wood and P M Steiner and has published in prestigious journals such as Circulation Research, American Journal of Clinical Nutrition and The American Journal of Medicine.

In The Last Decade

K Kuba

18 papers receiving 940 citations

Peers

K Kuba
Comparison fields: 5 of 95
  • Endocrinology, Diabetes and Metabolism 436
  • Surgery 364
  • Nutrition and Dietetics 348
  • Physiology 250
  • Public Health, Environmental and Occupational Health 233
Replace Osmo Turpeinen with:
Osmo Turpeinen Finland
S Eisenberg Israel
M Miettinen Finland
A. van ‘t Laar Netherlands
Marvin L. Bierenbaum United States
R Mordasini Switzerland
Manuel de Oya Spain
A.A. Rivellese Italy
C. L. Gulbrandsen United States
Reino Elosuo Finland
Osmo Turpeinen Finland View profile →
Citations per field, relative to K Kuba
K Kuba · 1×
Citations per year, relative to K Kuba
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Countries citing papers authored by K Kuba

Since Specialization
Citations

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

Fields of papers citing papers by K Kuba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of K Kuba

This figure shows the co-authorship network connecting the top 25 collaborators of K Kuba. A scholar is included among the top collaborators of K Kuba 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 K Kuba. K Kuba 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
# Work Indexed citations
1 210
2 11
3 88
4 14
5 16
6 65
7
Plasma cholesterol and triglyceride levels in 1351 children, ages 10-19, living in Richfield, Minnesota.
1
8 40
9 56
10 2
11 9
12 20
13 18
14 0
15 1
16 184
17 155
18 58
19 11
20 95

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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