Peer Baneke

2.7k total citations · 1 hit paper
6 papers, 1.6k citations indexed

About

Peer Baneke is a scholar working on Pathology and Forensic Medicine, Infectious Diseases and Rheumatology. According to data from OpenAlex, Peer Baneke has authored 6 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Pathology and Forensic Medicine, 2 papers in Infectious Diseases and 2 papers in Rheumatology. Recurrent topics in Peer Baneke's work include Multiple Sclerosis Research Studies (5 papers), Rheumatoid Arthritis Research and Therapies (2 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). Peer Baneke is often cited by papers focused on Multiple Sclerosis Research Studies (5 papers), Rheumatoid Arthritis Research and Therapies (2 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). Peer Baneke collaborates with scholars based in United States, United Kingdom and Netherlands. Peer Baneke's co-authors include Nick Rijke, Anne Helme, Bernard M.J. Uitdehaag, Ingrid van der Mei, Emmanuelle Leray, Clare Walton, Ruth Ann Marrie, Lindsay Rechtman, Wendy Kaye and Rachel King and has published in prestigious journals such as Multiple Sclerosis Journal, Scientific Data and UCL Discovery (University College London).

In The Last Decade

Peer Baneke

6 papers receiving 1.6k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Rising prevalence of multiple sclerosis worldwide: Insights from the Atlas of MS, third edition

2020 1.5k citations Clare Walton, Rachel King et al. Multiple Sclerosis Journal profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Peer Baneke United States	4	1.1k	268	251	201	186	6	1.6k
Nick Rijke United States	4	1.0k 0.9×	259 1.0×	227 0.9×	195 1.0×	170 0.9×	5	1.5k
Anne Helme United States	4	1.0k 0.9×	263 1.0×	225 0.9×	194 1.0×	172 0.9×	10	1.5k
Lindsay Rechtman United States	9	1.0k 0.9×	302 1.1×	373 1.5×	192 1.0×	169 0.9×	13	1.7k
Giuseppe Fenu Italy	23	1.0k 0.9×	213 0.8×	341 1.4×	196 1.0×	218 1.2×	92	1.5k
Rachel King United Kingdom	8	1.0k 0.9×	265 1.0×	220 0.9×	192 1.0×	169 0.9×	21	1.6k
Clare Walton United Kingdom	4	976 0.9×	260 1.0×	214 0.9×	192 1.0×	163 0.9×	8	1.5k
Aaron Boster United States	22	925 0.9×	306 1.1×	405 1.6×	183 0.9×	207 1.1×	44	1.4k
Christian P. Kamm Switzerland	18	1.1k 1.1×	391 1.5×	376 1.5×	193 1.0×	247 1.3×	98	1.9k
Bardia Nourbakhsh United States	18	877 0.8×	268 1.0×	357 1.4×	324 1.6×	138 0.7×	58	1.5k
Lorena Lorefice Italy	23	956 0.9×	195 0.7×	250 1.0×	182 0.9×	217 1.2×	102	1.5k

Countries citing papers authored by Peer Baneke

Since Specialization

Citations

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

Fields of papers citing papers by Peer Baneke

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peer Baneke

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

All Works

Sort: Min cites: Since: Top N: Style:

6 of 6 papers shown

1.

Khan, Hamza, Lotte Geys, Peer Baneke, Gıancarlo Comı, & Liesbet M. Peeters. (2024). Patient level dataset to study the effect of COVID-19 in people with Multiple Sclerosis. Scientific Data. 11(1). 149–149. 3 indexed citations

2.

Laurson-Doube, Joanna, Nick Rijke, Anne Helme, et al.. (2021). Ethical use of off-label disease-modifying therapies for multiple sclerosis. Multiple Sclerosis Journal. 27(9). 1403–1410. 18 indexed citations

3.

Walton, Clare, Rachel King, Lindsay Rechtman, et al.. (2020). Rising prevalence of multiple sclerosis worldwide: Insights from the Atlas of MS, third edition. Multiple Sclerosis Journal. 26(14). 1816–1821. 1467 indexed citations breakdown →

4.

Costello, Kathleen, Joanna Laurson-Doube, Nick Rijke, et al.. (2020). World Health Organization Essential Medicines List: Multiple sclerosis disease-modifying therapies application. Multiple Sclerosis Journal. 26(2). 153–158. 3 indexed citations

5.

Baneke, Peer, Paul Browne, Alan J. Thompson, et al.. (2012). MSIF Atlas of MS database update: multiple sclerosis resources in the world 2013. UCL Discovery (University College London). 18(5). 314–314. 7 indexed citations

6.

Fox, Robert J., Alan J. Thompson, David Baker, et al.. (2012). Setting a research agenda for progressive multiple sclerosis: The International Collaborative on Progressive MS. Multiple Sclerosis Journal. 18(11). 1534–1540. 92 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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