Raimar Kern

560 total citations
22 papers, 432 citations indexed

About

Raimar Kern is a scholar working on Pathology and Forensic Medicine, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Raimar Kern has authored 22 papers receiving a total of 432 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Pathology and Forensic Medicine, 5 papers in Molecular Biology and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Raimar Kern's work include Multiple Sclerosis Research Studies (16 papers), Fibromyalgia and Chronic Fatigue Syndrome Research (2 papers) and Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (2 papers). Raimar Kern is often cited by papers focused on Multiple Sclerosis Research Studies (16 papers), Fibromyalgia and Chronic Fatigue Syndrome Research (2 papers) and Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (2 papers). Raimar Kern collaborates with scholars based in Germany and United States. Raimar Kern's co-authors include Tjalf Ziemssen, Katja Thomas, Rocco Haase, Christian Cornelissen, Isabel Voigt, Friedemann Paul, Martin Marziniak, Uwe K. Zettl, Klemens Angstwurm and Jan‐Patrick Stellmann and has published in prestigious journals such as Neurology, Journal of Medical Internet Research and Multiple Sclerosis Journal.

In The Last Decade

Raimar Kern

22 papers receiving 421 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Raimar Kern Germany 12 332 64 63 54 53 22 432
Hollie Schmidt United States 8 229 0.7× 47 0.7× 94 1.5× 30 0.6× 24 0.5× 20 413
Olga Carmona Spain 12 277 0.8× 104 1.6× 30 0.5× 65 1.2× 44 0.8× 30 438
Amy Perrin Ross United States 12 265 0.8× 76 1.2× 47 0.7× 42 0.8× 30 0.6× 35 425
Michael Haboubi Canada 2 433 1.3× 123 1.9× 88 1.4× 43 0.8× 29 0.5× 3 501
Jonathan Hosey United States 3 433 1.3× 127 2.0× 88 1.4× 43 0.8× 28 0.5× 5 505
Michael W. Pill United States 9 285 0.9× 93 1.5× 87 1.4× 24 0.4× 24 0.5× 10 531
Claire Hara-Cleaver United States 8 376 1.1× 99 1.5× 35 0.6× 85 1.6× 29 0.5× 11 436
Marguerite Duggan Ireland 11 285 0.9× 64 1.0× 28 0.4× 21 0.4× 52 1.0× 14 350
Alex Ocampo United States 8 221 0.7× 81 1.3× 33 0.5× 24 0.4× 24 0.5× 16 419
Trudy L. Campbell Canada 5 313 0.9× 59 0.9× 19 0.3× 16 0.3× 50 0.9× 7 358

Countries citing papers authored by Raimar Kern

Since Specialization
Citations

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

Fields of papers citing papers by Raimar Kern

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Raimar Kern

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

All Works

20 of 20 papers shown
1.
Hoffmann, Olaf, Friedemann Paul, Rocco Haase, Raimar Kern, & Tjalf Ziemssen. (2024). Preferences, Adherence, and Satisfaction: Three Years of Treatment Experiences of People with Multiple Sclerosis. Patient Preference and Adherence. Volume 18. 455–466. 5 indexed citations
2.
Haase, Rocco, Raimar Kern, Dirk Schriefer, et al.. (2020). The Multiple Sclerosis Health Resource Utilization Survey (MS-HRS): Development and Validation Study. Journal of Medical Internet Research. 22(3). e17921–e17921. 18 indexed citations
3.
Ziemssen, Tjalf, Raimar Kern, Isabel Voigt, & Rocco Haase. (2020). Data Collection in Multiple Sclerosis: The MSDS Approach. Frontiers in Neurology. 11. 445–445. 25 indexed citations
4.
Voigt, Isabel, et al.. (2020). A Digital Patient Portal for Patients With Multiple Sclerosis. Frontiers in Neurology. 11. 400–400. 26 indexed citations
5.
Mückschel, Moritz, Anja Dillenseger, Christoph Lange, et al.. (2020). On the Reliability of Examining Dual-Tasking Abilities Using a Novel E-Health Device—A Proof of Concept Study in Multiple Sclerosis. Journal of Clinical Medicine. 9(11). 3423–3423. 1 indexed citations
6.
7.
Haase, Rocco, Katja Akgün, Undine Proschmann, et al.. (2019). Nonwalking response to fampridine in patients with multiple sclerosis in a real-world setting. Therapeutic Advances in Chronic Disease. 10. 1753126912–1753126912. 10 indexed citations
8.
Haase, Rocco, et al.. (2018). Improving multiple sclerosis management and collecting safety information in the real world: the MSDS3D software approach. Expert Opinion on Drug Safety. 17(4). 369–378. 24 indexed citations
9.
Kern, Raimar, et al.. (2017). Patients’ preferences for involvement in the decision-making process for treating diabetic retinopathy. BMC Ophthalmology. 17(1). 139–139. 25 indexed citations
10.
Haase, Rocco, Katja Thomas, Undine Proschmann, et al.. (2017). Fampridine response in MS patients with gait impairment in a real-world setting: Need for new response criteria?. Multiple Sclerosis Journal. 24(10). 1337–1346. 19 indexed citations
11.
Heesen, Christoph, Rocco Haase, Jana Poettgen, et al.. (2017). Perceptions on the value of bodily functions in multiple sclerosis. Acta Neurologica Scandinavica. 137(3). 356–362. 74 indexed citations
12.
13.
Kern, Raimar, et al.. (2016). Designing an Electronic Patient Management System for Multiple Sclerosis: Building a Next Generation Multiple Sclerosis Documentation System. Interactive Journal of Medical Research. 5(1). e2–e2. 38 indexed citations
14.
Ziemssen, Tjalf, Raimar Kern, & Christian Cornelissen. (2016). Study design of PANGAEA 2.0, a non-interventional study on RRMS patients to be switched to fingolimod. BMC Neurology. 16(1). 129–129. 21 indexed citations
15.
16.
Ziemssen, Tjalf, Raimar Kern, & Katja Thomas. (2016). Multiple sclerosis: clinical profiling and data collection as prerequisite for personalized medicine approach. BMC Neurology. 16(1). 124–124. 68 indexed citations
17.
Ziemssen, Tjalf, Raimar Kern, & Christian Cornelissen. (2015). The PANGAEA study design – a prospective, multicenter, non-interventional, long-term study on fingolimod for the treatment of multiple sclerosis in daily practice. BMC Neurology. 15(1). 93–93. 47 indexed citations
18.
Ziemssen, Tjalf, Raimar Kern, & Christian Cornelissen. (2015). Pangaea 2.0: State Of The Art Multiple Sclerosis Patient Management In Daily Clinical Practice. A New 3-Year Observational Study Of Patients Receiving Fingolimod. Value in Health. 18(7). A686–A686. 2 indexed citations
19.
Kern, Raimar, et al.. (2014). Multiple Sclerosis Documentation System MSDS3D - Innovative Management of Patients with Multiple Sclerosis (I8-1.003). Neurology. 82(10_supplement). 2 indexed citations
20.
Kern, Raimar, et al.. (2014). Multiple Sclerosis Documentation System MSDS3D - Innovative Management of Patients with Multiple Sclerosis (P3.130). Neurology. 82(10_supplement). 1 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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