Elisabeth Wlasich

80 total papers · 1.2k total citations
16 papers, 104 citations indexed

About

Elisabeth Wlasich is a scholar working on Epidemiology, Public Health, Environmental and Occupational Health and Geriatrics and Gerontology. According to data from OpenAlex, Elisabeth Wlasich has authored 16 papers receiving a total of 104 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Epidemiology, 8 papers in Public Health, Environmental and Occupational Health and 6 papers in Geriatrics and Gerontology. Recurrent topics in Elisabeth Wlasich's work include Chronic Disease Management Strategies (9 papers), Down syndrome and intellectual disability research (8 papers) and Frailty in Older Adults (6 papers). Elisabeth Wlasich is often cited by papers focused on Chronic Disease Management Strategies (9 papers), Down syndrome and intellectual disability research (8 papers) and Frailty in Older Adults (6 papers). Elisabeth Wlasich collaborates with scholars based in Germany, Switzerland and Australia. Elisabeth Wlasich's co-authors include Adrian Danek, Johannes Levin, Sandra Loosli, Catharina Prix, Theresa Raiser, Leanne Ruggero, Nibal Ackl, Lyndsey Nickels, Karen Croot and Cathleen Taylor‐Rubin and has published in prestigious journals such as Annals of Neurology, Neurobiology of Aging and Movement Disorders.

In The Last Decade

Elisabeth Wlasich

14 papers receiving 100 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Elisabeth Wlasich	35	34	32	28	22	16	104
Archana B. Balasubramanian	59 1.7×	17 0.5×	23 0.7×	15 0.5×	16 0.7×	9	122
Benjamin Sweigart	53 1.5×	14 0.4×	17 0.5×	32 1.1×	51 2.3×	21	243
Noora Lindgrén	70 2.0×	16 0.5×	48 1.5×	11 0.4×	44 2.0×	19	188
Ángela Sanabria	72 2.1×	39 1.1×	15 0.5×	6 0.2×	5 0.2×	14	133
Sean Udow	35 1.0×	18 0.5×	22 0.7×	33 1.2×	20 0.9×	9	263
Diane Mullins	109 3.1×	137 4.0×	31 1.0×	21 0.8×	11 0.5×	11	227
Zhuo-Ying Tao	39 1.1×	20 0.6×	17 0.5×	19 0.7×	24 1.1×	15	224
Valentina Giunchiglia	21 0.6×	22 0.6×	15 0.5×	10 0.4×	35 1.6×	12	250
Ana Paula Aquistapase Dagnino	32 0.9×	11 0.3×	44 1.4×	21 0.8×	32 1.5×	15	220
Greta García‐Escobar	54 1.5×	15 0.4×	8 0.3×	8 0.3×	8 0.4×	11	126

Countries citing papers authored by Elisabeth Wlasich

Since Specialization

Citations

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

Fields of papers citing papers by Elisabeth Wlasich

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elisabeth Wlasich

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

All Works

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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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