Martin Kelemen

516 total citations
8 papers, 225 citations indexed

About

Martin Kelemen is a scholar working on Genetics, Molecular Biology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Martin Kelemen has authored 8 papers receiving a total of 225 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Genetics, 1 paper in Molecular Biology and 1 paper in Cardiology and Cardiovascular Medicine. Recurrent topics in Martin Kelemen's work include Genetic Associations and Epidemiology (5 papers), Genetic Mapping and Diversity in Plants and Animals (3 papers) and Genetic and phenotypic traits in livestock (2 papers). Martin Kelemen is often cited by papers focused on Genetic Associations and Epidemiology (5 papers), Genetic Mapping and Diversity in Plants and Animals (3 papers) and Genetic and phenotypic traits in livestock (2 papers). Martin Kelemen collaborates with scholars based in United Kingdom, Australia and Slovakia. Martin Kelemen's co-authors include Jozef Gécz, Jeremy F. McRae, Mari Niemi, Elizabeth J. Radford, Jeffrey C. Barrett, Nicholas G. Martin, Daniel L Rice, Hilary C. Martin, Matthew E. Hurles and Sui Yu and has published in prestigious journals such as Nature, Nature Communications and Bioinformatics.

In The Last Decade

Martin Kelemen

6 papers receiving 220 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Martin Kelemen United Kingdom	3	139	81	41	18	12	8	225
Daniel L Rice United Kingdom	2	122 0.9×	76 0.9×	41 1.0×	18 1.0×	6 0.5×	2	187
Marta Codina‐Solà Spain	7	125 0.9×	96 1.2×	72 1.8×	10 0.6×	6 0.5×	21	210
Syed K. Rafi United States	8	137 1.0×	107 1.3×	52 1.3×	12 0.7×	8 0.7×	14	264
Richard E. Lutz United States	10	139 1.0×	98 1.2×	70 1.7×	11 0.6×	12 1.0×	18	256
Alexandre Mathieu France	6	97 0.7×	81 1.0×	48 1.2×	13 0.7×	7 0.6×	7	156
Tianyun Wang China	8	97 0.7×	71 0.9×	89 2.2×	19 1.1×	9 0.8×	15	205
Charlly Kao United States	10	106 0.8×	107 1.3×	40 1.0×	40 2.2×	20 1.7×	20	233
Craig Chinault United States	6	94 0.7×	98 1.2×	30 0.7×	23 1.3×	12 1.0×	6	189
Sonia Amabile Italy	6	156 1.1×	148 1.8×	33 0.8×	11 0.6×	12 1.0×	12	242
Ping Yee Billie Au Canada	9	121 0.9×	119 1.5×	14 0.3×	23 1.3×	17 1.4×	21	216

Countries citing papers authored by Martin Kelemen

Since Specialization

Citations

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

Fields of papers citing papers by Martin Kelemen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Kelemen

This figure shows the co-authorship network connecting the top 25 collaborators of Martin Kelemen. A scholar is included among the top collaborators of Martin Kelemen 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 Martin Kelemen. Martin Kelemen 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.

Karpiuk, Mirosław, et al.. (2025). The Impact of Digital Transformation on Cybersecurity in Poland, Slovakia, and Ukraine. 59(6).

2.

Kelemen, Martin, Yu Xu, Tao Jiang, et al.. (2025). Performance of deep-learning-based approaches to improve polygenic scores. Nature Communications. 16(1). 5122–5122. 2 indexed citations

3.

Kelemen, Martin, John Danesh, Emanuele Di Angelantonio, et al.. (2024). Evaluating the cost-effectiveness of polygenic risk score-stratified screening for abdominal aortic aneurysm. Nature Communications. 15(1). 8063–8063. 3 indexed citations

4.

Xiang, Ruidong, Martin Kelemen, Yu Xu, et al.. (2024). Recent advances in polygenic scores: translation, equitability, methods and FAIR tools. Genome Medicine. 16(1). 33–33. 33 indexed citations

5.

Kelemen, Martin, Elena Vigorito, Laura Fachal, Carl A. Anderson, & Chris Wallace. (2024). shaPRS: Leveraging shared genetic effects across traits or ancestries improves accuracy of polygenic scores. The American Journal of Human Genetics. 111(6). 1006–1017. 1 indexed citations

6.

Kelemen, Martin, et al.. (2023). The Ergonomic Design of the Tower Simulator Concept for the Training Needs of Air Traffic Control Students. 144–149.

7.

Vigorito, Elena, et al.. (2021). RápidoPGS: a rapid polygenic score calculator for summary GWAS data without a test dataset. Bioinformatics. 37(23). 4444–4450. 2 indexed citations

8.

Niemi, Mari, Hilary C. Martin, Daniel L Rice, et al.. (2018). Common genetic variants contribute to risk of rare severe neurodevelopmental disorders. Nature. 562(7726). 268–271. 184 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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