Ania M. Oleksik

509 total citations
16 papers, 366 citations indexed

About

Ania M. Oleksik is a scholar working on Psychiatry and Mental health, Cognitive Neuroscience and Epidemiology. According to data from OpenAlex, Ania M. Oleksik has authored 16 papers receiving a total of 366 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Psychiatry and Mental health, 4 papers in Cognitive Neuroscience and 4 papers in Epidemiology. Recurrent topics in Ania M. Oleksik's work include Dementia and Cognitive Impairment Research (7 papers), Functional Brain Connectivity Studies (4 papers) and Chronic Disease Management Strategies (3 papers). Ania M. Oleksik is often cited by papers focused on Dementia and Cognitive Impairment Research (7 papers), Functional Brain Connectivity Studies (4 papers) and Chronic Disease Management Strategies (3 papers). Ania M. Oleksik collaborates with scholars based in Netherlands, France and Finland. Ania M. Oleksik's co-authors include Mark A. van Buchem, Wiesje M. van der Flier, Maarten J. Versluis, Rudi G. J. Westendorp, Diana van Heemst, Peter Van de Vliet, Sanneke van Rooden, Andrew Webb, Jeroen van der Grond and Julien Milles and has published in prestigious journals such as SHILAP Revista de lepidopterología, Neurology and Journal of Neurology Neurosurgery & Psychiatry.

In The Last Decade

Ania M. Oleksik

15 papers receiving 359 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ania M. Oleksik Netherlands	12	129	122	76	50	47	16	366
S. Sans Spain	8	84 0.7×	140 1.1×	54 0.7×	68 1.4×	18 0.4×	15	545
Kay C. Igwe United States	13	169 1.3×	133 1.1×	76 1.0×	84 1.7×	70 1.5×	32	421
M. C. Prescott United Kingdom	9	137 1.1×	111 0.9×	102 1.3×	42 0.8×	83 1.8×	18	395
Antoine Garnier‐Crussard France	8	179 1.4×	103 0.8×	99 1.3×	82 1.6×	62 1.3×	39	357
Jerzy Loba Poland	13	80 0.6×	174 1.4×	24 0.3×	96 1.9×	14 0.3×	31	568
Pamela Song South Korea	13	59 0.5×	75 0.6×	34 0.4×	14 0.3×	38 0.8×	37	469
Norihiko Kodama Japan	13	48 0.4×	122 1.0×	39 0.5×	22 0.4×	32 0.7×	36	547
Ünal Mutlu Netherlands	14	89 0.7×	40 0.3×	279 3.7×	36 0.7×	23 0.5×	25	607
Renato Lírio Morelato Brazil	11	35 0.3×	102 0.8×	11 0.1×	31 0.6×	13 0.3×	28	287
Luigi D’Ambrosio Italy	12	138 1.1×	150 1.2×	26 0.3×	11 0.2×	60 1.3×	20	931

Countries citing papers authored by Ania M. Oleksik

Since Specialization

Citations

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

Fields of papers citing papers by Ania M. Oleksik

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ania M. Oleksik. 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 Ania M. Oleksik. The network helps show where Ania M. Oleksik may publish in the future.

Co-authorship network of co-authors of Ania M. Oleksik

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

All Works

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16 of 16 papers shown

Veldhuis‐Vlug, Annegreet G., Martin den Heijer, Mario Maas, et al.. (2017). The effect of raloxifene on bone marrow adipose tissue and bone turnover in postmenopausal women with osteoporosis. Bone. 118. 62–68. 39 indexed citations

Bos, Isabelle, Frans R.J. Verhey, Inez H.G.B. Ramakers, et al.. (2017). Cerebrovascular and amyloid pathology in predementia stages: the relationship with neurodegeneration and cognitive decline. Alzheimer s Research & Therapy. 9(1). 101–101. 43 indexed citations

Handels, Ron, Stephanie J. B. Vos, Milica G. Kramberger, et al.. (2017). Predicting progression to dementia in persons with mild cognitive impairment using cerebrospinal fluid markers. Alzheimer s & Dementia. 13(8). 903–912. 28 indexed citations

Jansen, Willemijn J., Ron Handels, Pieter Jelle Visser, et al.. (2016). The Diagnostic and Prognostic Value of Neuropsychological Assessment in Memory Clinic Patients. Journal of Alzheimer s Disease. 55(2). 679–689. 16 indexed citations

Mooijaart, Simon P., Karen Broekhuizen, Stella Trompet, et al.. (2015). Evidence-based medicine in older patients: how can we do better?. PubMed. 73(5). 211–8. 25 indexed citations

Aalten, Pauline, Inez H.G.B. Ramakers, Geert Jan Biessels, et al.. (2014). The Dutch Parelsnoer Institute - Neurodegenerative diseases; methods, design and baseline results. BMC Neurology. 14(1). 254–254. 49 indexed citations

Rooden, Sanneke van, Nhat Trung Doan, Maarten J. Versluis, et al.. (2014). 7T T2∗-weighted magnetic resonance imaging reveals cortical phase differences between early- and late-onset Alzheimer's disease. Neurobiology of Aging. 36(1). 20–26. 42 indexed citations

Rooden, Sanneke van, Maarten J. Versluis, Andrew Webb, et al.. (2014). Cortical phase changes measured using 7‐T MRI in subjects with subjective cognitive impairment, and their association with cognitive function. NMR in Biomedicine. 29(9). 1289–1294. 12 indexed citations

Rooden, Sanneke van, Maarten J. Versluis, Michael Liem, et al.. (2013). Cortical phase changes in Alzheimer's disease at 7T MRI: A novel imaging marker. Alzheimer s & Dementia. 10(1). e19–26. 47 indexed citations

10.

Aalten, Pauline, Wiesje M. van der Flier, Geert Jan Biessels, et al.. (2012). P2‐194: Improving diagnosis of dementia in a nationwide setting: First results of the Dutch String of Pearls Initiative on neurodegenerative diseases. Alzheimer s & Dementia. 8(4S_Part_9).

11.

Vliet, Peter Van de, Rudi G. J. Westendorp, Diana van Heemst, A.J.M. de Craen, & Ania M. Oleksik. (2010). Cognitive decline precedes late-life longitudinal changes in vascular risk factors. Journal of Neurology Neurosurgery & Psychiatry. 81(9). 1028–1032. 29 indexed citations

12.

Craen, Anton J.M. de, Ania M. Oleksik, Andrea B. Maier, & R. G. J. Westendorp. (2009). Determinanten van ziekte en gezondheid op hoge leeftijd:. Tijdschrift voor Gerontologie en Geriatrie. 40(6). 237–243. 4 indexed citations

13.

Craen, Anton J.M. de, Ania M. Oleksik, Andrea B. Maier, & Rudi G. J. Westendorp. (2009). Determinanten van ziekte en gezondheid op hoge leeftijd: Nieuwe inzichten uit de Leidse verouderingsstudies. SHILAP Revista de lepidopterología. 40(6). 237–243. 1 indexed citations

14.

Vliet, Peter Van de, Ania M. Oleksik, Simon P. Mooijaart, Anton J.M. de Craen, & Rudi G. J. Westendorp. (2009). APOE genotype modulates the effect of serum calcium levels on cognitive function in old age. Neurology. 72(9). 821–828. 15 indexed citations

15.

Oleksik, Ania M., et al.. (2001). Effects of the selective oestrogen receptor modulator—raloxifene—on calcium and PTH secretory dynamics in women with osteoporosis. Clinical Endocrinology. 54(5). 575–582. 4 indexed citations

16.

Lips, Paul, et al.. (2001). FOR THE MORE STUDY GROUP, A GLOBAL STUDY OF VITAMIN D STATUS AND PARATHYROID FUNCTION IN POSTMENOPAUSAL WOMEN WITH OSTEOPOROSIS: BASELINE DATA FROM THE MULTIPLE OUTCOMES OF RALOXIFENE EVALUATION CLINICAL TRIAL. 86(3). 1212–1221. 12 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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