Eva Boes

622 total citations
8 papers, 340 citations indexed

About

Eva Boes is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Eva Boes has authored 8 papers receiving a total of 340 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Surgery, 3 papers in Endocrinology, Diabetes and Metabolism and 2 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Eva Boes's work include Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Lipoproteins and Cardiovascular Health (3 papers) and Genetic Associations and Epidemiology (2 papers). Eva Boes is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Lipoproteins and Cardiovascular Health (3 papers) and Genetic Associations and Epidemiology (2 papers). Eva Boes collaborates with scholars based in Austria, Germany and Switzerland. Eva Boes's co-authors include Florian Kronenberg, Stefan Coassin, Barbara Kollerits, Iris M. Heid, Claudia Lamina, Johannes F.E. Mann, Danilo Fliser, Paul König, Werner Riegel and Eberhard Ritz and has published in prestigious journals such as The Lancet, PLoS ONE and Scientific Reports.

In The Last Decade

Eva Boes

8 papers receiving 337 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Eva Boes Austria	8	103	95	93	75	57	8	340
Marc Gregory Yu Philippines	9	94 0.9×	138 1.5×	77 0.8×	36 0.5×	66 1.2×	32	372
Christine Cavalcanti-Proença United Kingdom	4	60 0.6×	92 1.0×	146 1.6×	29 0.4×	51 0.9×	4	313
Maria Andrikoula Greece	7	55 0.5×	134 1.4×	43 0.5×	23 0.3×	70 1.2×	15	338
B. Isaksson Sweden	9	99 1.0×	54 0.6×	83 0.9×	35 0.5×	52 0.9×	15	296
Ronald St-Louis United States	8	52 0.5×	41 0.4×	36 0.4×	56 0.7×	57 1.0×	13	341
Kaoru Yoshinaga Japan	9	125 1.2×	83 0.9×	31 0.3×	104 1.4×	24 0.4×	16	352
Fusheng Fang China	11	56 0.5×	109 1.1×	42 0.5×	29 0.4×	44 0.8×	45	309
Naoufel Nabli Tunisia	12	89 0.9×	105 1.1×	53 0.6×	53 0.7×	78 1.4×	27	345
Anna Stępień Poland	10	53 0.5×	59 0.6×	30 0.3×	67 0.9×	79 1.4×	24	432
Diego Fernández‐García Spain	12	79 0.8×	141 1.5×	38 0.4×	55 0.7×	163 2.9×	34	512

Countries citing papers authored by Eva Boes

Since Specialization

Citations

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

Fields of papers citing papers by Eva Boes

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eva Boes

This figure shows the co-authorship network connecting the top 25 collaborators of Eva Boes. A scholar is included among the top collaborators of Eva Boes 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 Eva Boes. Eva Boes is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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8 of 8 papers shown

1.

Raschenberger, Julia, Claudia Lamina, Margot Haun, et al.. (2016). Influence of DNA extraction methods on relative telomere length measurements and its impact on epidemiological studies. Scientific Reports. 6(1). 25398–25398. 43 indexed citations

2.

Adam, Martin, Medea Imboden, Emmanuel Schaffner, et al.. (2016). The adverse impact of obesity on heart rate variability is modified by a NFE2L2 gene variant: The SAPALDIA cohort. International Journal of Cardiology. 228. 341–346. 19 indexed citations

3.

Adam, Martin, Medea Imboden, Eva Boes, et al.. (2014). Modifying Effect of a Common Polymorphism in the Interleukin-6 Promoter on the Relationship between Long-Term Exposure to Traffic-Related Particulate Matter and Heart Rate Variability. PLoS ONE. 9(8). e104978–e104978. 12 indexed citations

4.

Boes, Eva, Stefan Coassin, Barbara Kollerits, Iris M. Heid, & Florian Kronenberg. (2008). Genetic-epidemiological evidence on genes associated with HDL cholesterol levels: A systematic in-depth review. Experimental Gerontology. 44(3). 136–160. 93 indexed citations

5.

Boes, Eva, Barbara Kollerits, Iris M. Heid, et al.. (2008). INSIG2 Polymorphism Is Neither Associated With BMI Nor With Phenotypes of Lipoprotein Metabolism. Obesity. 16(4). 827–833. 29 indexed citations

6.

Heid, Iris M., Eva Boes, Martina Müller‐Nurasyid, et al.. (2008). Genome-Wide Association Analysis of High-Density Lipoprotein Cholesterol in the Population-Based KORA Study Sheds New Light on Intergenic Regions. Circulation Cardiovascular Genetics. 1(1). 10–20. 69 indexed citations

7.

Boes, Eva, Danilo Fliser, Eberhard Ritz, et al.. (2005). Apolipoprotein A-IV Predicts Progression of Chronic Kidney Disease. Journal of the American Society of Nephrology. 17(2). 528–536. 68 indexed citations

8.

Purves, L.R., William R. Branch, & Eva Boes. (1973). ALPHA-FETOPROTEIN AS A DIAGNOSTIC AID. The Lancet. 301(7810). 1007–1007. 7 indexed citations

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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