Witold Libionka

58 total papers · 2.0k total citations
34 papers, 1.5k citations indexed

About

Witold Libionka is a scholar working on Neurology, Pathology and Forensic Medicine and Cellular and Molecular Neuroscience. According to data from OpenAlex, Witold Libionka has authored 34 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Neurology, 10 papers in Pathology and Forensic Medicine and 7 papers in Cellular and Molecular Neuroscience. Recurrent topics in Witold Libionka's work include Neurological disorders and treatments (8 papers), Parkinson's Disease Mechanisms and Treatments (8 papers) and Spine and Intervertebral Disc Pathology (6 papers). Witold Libionka is often cited by papers focused on Neurological disorders and treatments (8 papers), Parkinson's Disease Mechanisms and Treatments (8 papers) and Spine and Intervertebral Disc Pathology (6 papers). Witold Libionka collaborates with scholars based in Poland, United States and Czechia. Witold Libionka's co-authors include Takahiro Takano, Maiken Nedergaard, Guo-Feng Tian, Xiaoning Han, Weiguo Peng, Nanhong Lou, Wojciech Kloc, Lane K. Bekar, Ditte Lovatt and Arnulfo Torres and has published in prestigious journals such as Nature Medicine, Nature Neuroscience and Spine.

In The Last Decade

Witold Libionka

32 papers receiving 1.4k citations

Hit Papers

normalize citations (0→100%) normalize lifespan (0→100%) sort by overperformance

Author Peers

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

Author						Papers	Cites
Witold Libionka	589	390	381	257	190	34	1.5k
Donna Sheedy	405 0.7×	458 1.2×	337 0.9×	499 1.9×	214 1.1×	40	1.7k
Daniel G. Nehls	766 1.3×	321 0.8×	612 1.6×	341 1.3×	134 0.7×	25	1.7k
D. Duverger	694 1.2×	418 1.1×	250 0.7×	486 1.9×	500 2.6×	24	1.6k
Takashi Agari	457 0.8×	338 0.9×	519 1.4×	330 1.3×	133 0.7×	50	1.4k
J. Unger	570 1.0×	446 1.1×	168 0.4×	355 1.4×	408 2.1×	47	1.6k
Hajime Kusayanagi	356 0.6×	777 2.0×	274 0.7×	128 0.5×	200 1.1×	27	1.4k
Daisuke Kato	445 0.8×	743 1.9×	354 0.9×	269 1.0×	206 1.1×	48	1.7k
Seng Kee Leong	853 1.4×	465 1.2×	249 0.7×	326 1.3×	288 1.5×	71	1.7k
Benoît Haelewyn	347 0.6×	369 0.9×	248 0.7×	376 1.5×	269 1.4×	25	1.6k
Jos Van Reempts	430 0.7×	289 0.7×	380 1.0×	304 1.2×	109 0.6×	38	1.2k

Countries citing papers authored by Witold Libionka

Since Specialization

Citations

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

Fields of papers citing papers by Witold Libionka

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Witold Libionka

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