Fetene Tekle

1.3k total citations · 1 hit paper
29 papers, 837 citations indexed

About

Fetene Tekle is a scholar working on Cardiology and Cardiovascular Medicine, Cellular and Molecular Neuroscience and Statistics and Probability. According to data from OpenAlex, Fetene Tekle has authored 29 papers receiving a total of 837 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cardiology and Cardiovascular Medicine, 6 papers in Cellular and Molecular Neuroscience and 6 papers in Statistics and Probability. Recurrent topics in Fetene Tekle's work include Neuroscience and Neural Engineering (5 papers), Optimal Experimental Design Methods (5 papers) and Cardiac Health and Mental Health (4 papers). Fetene Tekle is often cited by papers focused on Neuroscience and Neural Engineering (5 papers), Optimal Experimental Design Methods (5 papers) and Cardiac Health and Mental Health (4 papers). Fetene Tekle collaborates with scholars based in Netherlands, United States and Belgium. Fetene Tekle's co-authors include Jeroen K. Vermunt, Zsuzsa Bakk, Dereje W. Gudicha, Frans E. S. Tan, Martijn P. F. Berger, Ard Teisman, Marco Alings, Krista C. van den Broek, Karel Van Ammel and Johan Denollet and has published in prestigious journals such as PLoS ONE, Journal of Clinical Epidemiology and Statistics in Medicine.

In The Last Decade

Fetene Tekle

24 papers receiving 818 citations

Hit Papers

Estimating the Association between Latent Class Membershi... 2013 2026 2017 2021 2013 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fetene Tekle Netherlands 15 145 127 122 119 97 29 837
Daniel Bauer Switzerland 19 144 1.0× 85 0.7× 10 0.1× 115 1.0× 79 0.8× 60 1.1k
Randall M. Jones United States 17 205 1.4× 348 2.7× 55 0.5× 84 0.7× 153 1.6× 54 1.1k
Joeri K. Tijdink Netherlands 22 153 1.1× 115 0.9× 18 0.1× 28 0.2× 116 1.2× 78 1.4k
Simon Grund Germany 16 123 0.8× 93 0.7× 19 0.2× 193 1.6× 133 1.4× 31 814
David A. Brandt United States 5 214 1.5× 126 1.0× 16 0.1× 119 1.0× 148 1.5× 7 1.1k
Randall H. Bender United States 16 318 2.2× 100 0.8× 16 0.1× 38 0.3× 54 0.6× 40 1.4k
Holly P. O’Rourke United States 11 176 1.2× 135 1.1× 13 0.1× 48 0.4× 127 1.3× 20 627
Oscar González United States 16 325 2.2× 74 0.6× 15 0.1× 96 0.8× 172 1.8× 45 785
Ida Marais Australia 12 148 1.0× 65 0.5× 15 0.1× 42 0.4× 100 1.0× 34 702
Emma Norris United Kingdom 16 83 0.6× 129 1.0× 20 0.2× 9 0.1× 96 1.0× 52 1.1k

Countries citing papers authored by Fetene Tekle

Since Specialization
Citations

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

Fields of papers citing papers by Fetene Tekle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fetene Tekle

This figure shows the co-authorship network connecting the top 25 collaborators of Fetene Tekle. A scholar is included among the top collaborators of Fetene Tekle 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 Fetene Tekle. Fetene Tekle 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
1.
Tekle, Fetene, et al.. (2025). Advanced quench correction model for quantitative offline radioactivity counting in in vivo drug metabolism studies. Drug Metabolism and Disposition. 54(1). 100206–100206.
2.
Lanz, Thomas A., Klemens Ruprecht, Jens Göpfert, et al.. (2025). Longitudinal evaluation of serum neurofilament light levels in normal healthy volunteers: defining a threshold of concern. Journal of Neurology. 272(8). 512–512.
4.
Kreir, Mohamed, Fetene Tekle, Constantin d’Ydewalle, et al.. (2024). Development of a new hazard scoring system in primary neuronal cell cultures for drug-induced acute neuronal toxicity identification in early drug discovery. Frontiers in Pharmacology. 15. 1308547–1308547. 2 indexed citations
5.
Ammel, Karel Van, Margino Steemans, Mohamed Kreir, et al.. (2023). Evaluation of chronic drug-induced electrophysiological and cytotoxic effects using human-induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CMs). Frontiers in Pharmacology. 14. 1229960–1229960. 8 indexed citations
8.
Hübner, Marc P., Alexandra Ehrens, Marianne Koschel, et al.. (2019). Macrofilaricidal efficacy of single and repeated oral and subcutaneous doses of flubendazole in Litomosoides sigmodontis infected jirds. PLoS neglected tropical diseases. 13(1). e0006320–e0006320. 19 indexed citations
9.
Bulman, Christina A., K. C. Lim, Jiří Gut, et al.. (2019). Efficacy of subcutaneous doses and a new oral amorphous solid dispersion formulation of flubendazole on male jirds (Meriones unguiculatus) infected with the filarial nematode Brugia pahangi. PLoS neglected tropical diseases. 13(1). e0006787–e0006787. 9 indexed citations
10.
Kopljar, Ivan, Hua Rong Lu, Karel Van Ammel, et al.. (2018). Development of a Human iPSC Cardiomyocyte-Based Scoring System for Cardiac Hazard Identification in Early Drug Safety De-risking. Stem Cell Reports. 11(6). 1365–1377. 43 indexed citations
11.
Gudicha, Dereje W., Fetene Tekle, & Jeroen K. Vermunt. (2016). Power and Sample Size Computation for Wald Tests in Latent Class Models. Journal of Classification. 33(1). 30–51. 47 indexed citations
12.
Tekle, Fetene, Dereje W. Gudicha, & Jeroen K. Vermunt. (2016). Power analysis for the bootstrap likelihood ratio test for the number of classes in latent class models. Advances in Data Analysis and Classification. 10(2). 209–224. 38 indexed citations
13.
Denollet, Johan, Fetene Tekle, Susanne S. Pedersen, et al.. (2012). Prognostic importance of distressed (Type D) personality and shocks in patients with an implantable cardioverter defibrillator. International Journal of Cardiology. 167(6). 2705–2709. 20 indexed citations
14.
Drewes, Hanneke W., Jeroen N. Struijs, Caroline A. Baan, et al.. (2012). Measuring chronic care management experience of patients with diabetes: PACIC and PACIC+ validation. International Journal of Integrated Care. 12(8). e194–e194. 29 indexed citations
16.
Broek, Krista C. van den, Fetene Tekle, Mirela Habibović, et al.. (2011). Emotional distress, positive affect, and mortality in patients with an implantable cardioverter defibrillator. International Journal of Cardiology. 165(2). 327–332. 20 indexed citations
17.
Tekle, Fetene, Frans E. S. Tan, & Martijn P. F. Berger. (2011). Too many cohorts and repeated measurements are a waste of resources. Journal of Clinical Epidemiology. 64(12). 1383–1390. 9 indexed citations
18.
Tekle, Fetene, Frans E. S. Tan, & Martijn P. F. Berger. (2009). Interactive computer program for optimal designs of longitudinal cohort studies. Computer Methods and Programs in Biomedicine. 94(2). 168–176. 4 indexed citations
19.
Tekle, Fetene, Frans E. S. Tan, & Martijn P. F. Berger. (2008). Maximin -optimal designs for binary longitudinal responses. Computational Statistics & Data Analysis. 52(12). 5253–5262. 30 indexed citations
20.
Tekle, Fetene, Frans E. S. Tan, & Martijn P. F. Berger. (2007). D‐optimal cohort designs for linear mixed‐effects models. Statistics in Medicine. 27(14). 2586–2600. 21 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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