Pierre Kolber

964 total citations
9 papers, 351 citations indexed

About

Pierre Kolber is a scholar working on Pathology and Forensic Medicine, Neurology and Molecular Biology. According to data from OpenAlex, Pierre Kolber has authored 9 papers receiving a total of 351 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Pathology and Forensic Medicine, 4 papers in Neurology and 3 papers in Molecular Biology. Recurrent topics in Pierre Kolber's work include Multiple Sclerosis Research Studies (4 papers), Parkinson's Disease Mechanisms and Treatments (3 papers) and Advanced Neuroimaging Techniques and Applications (3 papers). Pierre Kolber is often cited by papers focused on Multiple Sclerosis Research Studies (4 papers), Parkinson's Disease Mechanisms and Treatments (3 papers) and Advanced Neuroimaging Techniques and Applications (3 papers). Pierre Kolber collaborates with scholars based in Germany, Luxembourg and Netherlands. Pierre Kolber's co-authors include Frauke Zipp, Sergiu Groppa, Rejko Krüger, Vinzenz Fleischer, Muthuraman Muthuraman, Felix Luessi, Amgad Droby, Jeswinder Sian‐Hülsmann, K. A. Jellinger and Géraldine Hipp and has published in prestigious journals such as Neuroscience, Cell and Tissue Research and Frontiers in Neuroscience.

In The Last Decade

Pierre Kolber

9 papers receiving 344 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Pierre Kolber Germany	9	131	126	124	96	46	9	351
Sara Collorone United Kingdom	10	67 0.5×	221 1.8×	125 1.0×	45 0.5×	33 0.7×	29	361
Harald Zauner Austria	7	77 0.6×	212 1.7×	69 0.6×	133 1.4×	20 0.4×	11	412
Marlene Tahedl Germany	11	183 1.4×	63 0.5×	96 0.8×	64 0.7×	24 0.5×	29	296
Angela Radetz Germany	8	25 0.2×	115 0.9×	91 0.7×	94 1.0×	23 0.5×	15	220
Patrick Grabher Switzerland	10	20 0.2×	265 2.1×	123 1.0×	43 0.4×	30 0.7×	10	425
Patrizia Pantano Italy	14	286 2.2×	57 0.5×	160 1.3×	141 1.5×	18 0.4×	20	450
Ally Pax Arcari Mair United Kingdom	4	53 0.4×	185 1.5×	44 0.4×	85 0.9×	11 0.2×	7	273
Paloma Montero Spain	11	150 1.1×	184 1.5×	16 0.1×	43 0.4×	19 0.4×	18	375
Wen-Dong Xu China	9	85 0.6×	39 0.3×	81 0.7×	35 0.4×	9 0.2×	12	278
Ruidong Cheng China	9	32 0.2×	33 0.3×	45 0.4×	48 0.5×	39 0.8×	17	287

Countries citing papers authored by Pierre Kolber

Since Specialization

Citations

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

Fields of papers citing papers by Pierre Kolber

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pierre Kolber

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

All Works

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9 of 9 papers shown

Schymanski, Emma, Nancy Baker, Antony Williams, et al.. (2019). Connecting environmental exposure and neurodegeneration using cheminformatics and high resolution mass spectrometry: potential and challenges. Environmental Science Processes & Impacts. 21(9). 1426–1445. 16 indexed citations

Kolber, Pierre & Rejko Krüger. (2019). Gene-environment interaction and Mendelian randomisation. Revue Neurologique. 175(10). 597–603. 8 indexed citations

Riederer, Peter, K. A. Jellinger, Pierre Kolber, et al.. (2018). Lateralisation in Parkinson disease. Cell and Tissue Research. 373(1). 297–312. 66 indexed citations

Santis, Silvia De, Matteo Bastiani, Amgad Droby, et al.. (2018). Characterizing Microstructural Tissue Properties in Multiple Sclerosis with Diffusion MRI at 7 T and 3 T: The Impact of the Experimental Design. Neuroscience. 403. 17–26. 46 indexed citations

Kolber, Pierre, Amgad Droby, Alard Roebroeck, et al.. (2017). A “kissing lesion”: In-vivo 7T evidence of meningeal inflammation in early multiple sclerosis. Multiple Sclerosis Journal. 23(8). 1167–1169. 11 indexed citations

Krüger, Rejko, Jochen Klucken, Daniel Weiß, et al.. (2017). Classification of advanced stages of Parkinson’s disease: translation into stratified treatments. Journal of Neural Transmission. 124(8). 1015–1027. 62 indexed citations

Muthuraman, Muthuraman, Vinzenz Fleischer, Pierre Kolber, et al.. (2016). Structural Brain Network Characteristics Can Differentiate CIS from Early RRMS. Frontiers in Neuroscience. 10. 14–14. 62 indexed citations

Fleischer, Vinzenz, Adriane Gröger, Nabin Koirala, et al.. (2016). Increased structural white and grey matter network connectivity compensates for functional decline in early multiple sclerosis. Multiple Sclerosis Journal. 23(3). 432–441. 58 indexed citations

Kolber, Pierre, Vinzenz Fleischer, Felix Luessi, et al.. (2015). Identification of cortical lesions using DIR and FLAIR in early stages of multiple sclerosis. Journal of Neurology. 262(6). 1473–1482. 22 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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