Nele Taba

970 total citations
18 papers, 274 citations indexed

About

Nele Taba is a scholar working on Epidemiology, Molecular Biology and Neurology. According to data from OpenAlex, Nele Taba has authored 18 papers receiving a total of 274 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Epidemiology, 5 papers in Molecular Biology and 4 papers in Neurology. Recurrent topics in Nele Taba's work include Genetic Associations and Epidemiology (4 papers), Liver Disease Diagnosis and Treatment (4 papers) and Parkinson's Disease Mechanisms and Treatments (4 papers). Nele Taba is often cited by papers focused on Genetic Associations and Epidemiology (4 papers), Liver Disease Diagnosis and Treatment (4 papers) and Parkinson's Disease Mechanisms and Treatments (4 papers). Nele Taba collaborates with scholars based in Estonia, Canada and United States. Nele Taba's co-authors include Liis Kadastik‐Eerme, Tōnu Esko, Pille Taba, Toomas Asser, Krista Fischer, Patricia L. Mitchell, Éloi Gagnon, Hasanga D. Manikpurage, Erik Abner and Sébastien Thériault and has published in prestigious journals such as Nature, SHILAP Revista de lepidopterología and American Journal of Clinical Nutrition.

In The Last Decade

Nele Taba

16 papers receiving 271 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nele Taba Estonia	10	71	69	67	52	44	18	274
Yanan Hou China	12	79 1.1×	80 1.2×	65 1.0×	30 0.6×	62 1.4×	25	380
Juan Fernando Ortíz United States	11	73 1.0×	105 1.5×	50 0.7×	42 0.8×	19 0.4×	45	352
Angelica P. Ahrens United States	10	127 1.8×	21 0.3×	68 1.0×	27 0.5×	51 1.2×	12	275
Kirsten Lee Canada	9	45 0.6×	52 0.8×	32 0.5×	100 1.9×	39 0.9×	29	357
Stefano Tonini Italy	10	62 0.9×	62 0.9×	21 0.3×	12 0.2×	49 1.1×	24	262
Andrea Foppiani Italy	14	53 0.7×	64 0.9×	25 0.4×	191 3.7×	157 3.6×	43	533
Andrew T. Askow United States	12	43 0.6×	30 0.4×	52 0.8×	38 0.7×	119 2.7×	34	393
Farah Ashrafzadeh Iran	10	56 0.8×	34 0.5×	33 0.5×	22 0.4×	20 0.5×	73	301
Rebecca M. Fleeman United States	8	58 0.8×	16 0.2×	19 0.3×	65 1.3×	170 3.9×	10	350
Heidi Virtanen Canada	11	151 2.1×	19 0.3×	17 0.3×	92 1.8×	88 2.0×	25	427

Countries citing papers authored by Nele Taba

Since Specialization

Citations

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

Fields of papers citing papers by Nele Taba

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nele Taba

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

All Works

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18 of 18 papers shown

Hofmeister, Robin J., Adriaan van der Graaf, Jaanika Kronberg, et al.. (2025). Parent-of-origin effects on complex traits in up to 236,781 individuals. Nature. 646(8085). 647–656. 2 indexed citations

Taba, Nele, et al.. (2025). A novel framework for assessing causal effect of microbiome on health: long-term antibiotic usage as an instrument. Gut Microbes. 17(1). 2453616–2453616.

Aasmets, Oliver, Nele Taba, Reidar Andreson, et al.. (2025). A hidden confounder for microbiome studies: medications used years before sample collection. mSystems. 10(10). e0054125–e0054125. 2 indexed citations

Gagnon, Éloi, Patricia L. Mitchell, Hasanga D. Manikpurage, et al.. (2023). Impact of the gut microbiota and associated metabolites on cardiometabolic traits, chronic diseases and human longevity: a Mendelian randomization study. Journal of Translational Medicine. 21(1). 60–60. 48 indexed citations

Taba, Nele, et al.. (2023). Competency in the management of women of childbearing age with epilepsy among primary care and specialist doctors in Estonia. Epilepsy & Behavior Reports. 22. 100599–100599. 2 indexed citations

Gagnon, Éloi, Émilie Gobeil, Jérôme Bourgault, et al.. (2022). Mendelian randomization prioritizes abdominal adiposity as an independent causal factor for liver fat accumulation and cardiometabolic diseases. SHILAP Revista de lepidopterología. 2(1). 130–130. 14 indexed citations

Gobeil, Émilie, Nele Taba, Nooshin Ghodsian, et al.. (2022). Mendelian Randomization Analysis Identifies Blood Tyrosine Levels as a Biomarker of Non-Alcoholic Fatty Liver Disease. Metabolites. 12(5). 440–440. 25 indexed citations

Macdonald-Dunlop, Erin, Nele Taba, Lucija Klarić, et al.. (2022). A catalogue of omics biological ageing clocks reveals substantial commonality and associations with disease risk. Aging. 14(2). 623–659. 26 indexed citations

Taba, Nele, Andres Metspalu, Tōnu Esko, et al.. (2021). Mendelian Randomization Identifies the Potential Causal Impact of Dietary Patterns on Circulating Blood Metabolites. Frontiers in Genetics. 12. 738265–738265. 5 indexed citations

10.

Ghodsian, Nooshin, Erik Abner, Émilie Gobeil, et al.. (2021). Electronic Health Record-Based Genome-Wide Meta-Analysis Identifies New Susceptibility Loci for Non-Alcoholic Fatty Liver Disease. Journal of the Endocrine Society. 5(Supplement_1). A501–A501. 1 indexed citations

11.

Gobeil, Émilie, Erik Abner, Nooshin Ghodsian, et al.. (2021). Genome-Wide Meta-Analysis and Mendelian Randomization Identify Early Biomarkers of Non-Alcoholic Fatty Liver Disease. Journal of the Endocrine Society. 5(Supplement_1). A315–A315.

12.

Taba, Nele, et al.. (2020). Determinants of Long-Term Health-Related Quality of Life in Young Ischemic Stroke Patients. Journal of Stroke and Cerebrovascular Diseases. 30(2). 105499–105499. 17 indexed citations

13.

Taba, Nele, Krista Fischer, Tōnu Esko, et al.. (2019). Food neophobia associates with poorer dietary quality, metabolic risk factors, and increased disease outcome risk in population-based cohorts in a metabolomics study. American Journal of Clinical Nutrition. 110(1). 233–245. 58 indexed citations

14.

Kadastik‐Eerme, Liis, Nele Taba, Toomas Asser, & Pille Taba. (2019). Incidence and Mortality of Parkinson’s Disease in Estonia. Neuroepidemiology. 53(1-2). 63–72. 12 indexed citations

15.

Vibo, Riina, et al.. (2019). Mortality in young adult patients with acute ischaemic stroke. Acta Neurologica Scandinavica. 141(3). 242–249. 4 indexed citations

16.

Kadastik‐Eerme, Liis, Nele Taba, T Asser, & Pille Taba. (2018). The increasing prevalence of Parkinson's disease in Estonia. Acta Neurologica Scandinavica. 138(3). 251–258. 10 indexed citations

17.

Kadastik‐Eerme, Liis, Nele Taba, Toomas Asser, & Pille Taba. (2017). Factors associated with motor complications in Parkinson's disease. Brain and Behavior. 7(10). 19 indexed citations

18.

Kadastik‐Eerme, Liis, et al.. (2016). Nonmotor Features in Parkinson’s Disease: What Are the Most Important Associated Factors?. Parkinson s Disease. 2016. 1–8. 29 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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