Jan Willms

588 total citations
21 papers, 242 citations indexed

About

Jan Willms is a scholar working on Neurology, Epidemiology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Jan Willms has authored 21 papers receiving a total of 242 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Neurology, 7 papers in Epidemiology and 4 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Jan Willms's work include Traumatic Brain Injury and Neurovascular Disturbances (11 papers), Intracranial Aneurysms: Treatment and Complications (6 papers) and Acute Ischemic Stroke Management (4 papers). Jan Willms is often cited by papers focused on Traumatic Brain Injury and Neurovascular Disturbances (11 papers), Intracranial Aneurysms: Treatment and Complications (6 papers) and Acute Ischemic Stroke Management (4 papers). Jan Willms collaborates with scholars based in Switzerland, Germany and Slovakia. Jan Willms's co-authors include E. Keller, J. M. Boss, Dominique Brodbeck, Nadine Bienefeld, Giovanna Brandi, Sebastian Winklhofer, Andreas Lutterotti, Michael Huber, Karl Frontzek and Zsuzsanna Varga and has published in prestigious journals such as SHILAP Revista de lepidopterología, Stroke and Scientific Reports.

In The Last Decade

Jan Willms

18 papers receiving 236 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jan Willms Switzerland 7 124 40 36 33 30 21 242
Matthew Benger United Kingdom 6 126 1.0× 10 0.3× 101 2.8× 11 0.3× 21 0.7× 11 292
Christopher V. Anstine United States 7 102 0.8× 12 0.3× 27 0.8× 45 1.4× 4 0.1× 9 263
J.M. Trejo-Gabriel-Galán Spain 8 72 0.6× 10 0.3× 33 0.9× 57 1.7× 16 0.5× 19 239
Sara Bagherieh Iran 11 84 0.7× 28 0.7× 43 1.2× 9 0.3× 18 0.6× 40 273
Stefan Winzeck United Kingdom 11 117 0.9× 35 0.9× 8 0.2× 141 4.3× 37 1.2× 22 393
Ling Zou China 8 50 0.4× 7 0.2× 55 1.5× 20 0.6× 5 0.2× 18 326
Taleb M. Almansoori United Arab Emirates 8 45 0.4× 5 0.1× 41 1.1× 13 0.4× 10 0.3× 36 226
Krishma Adatia United Kingdom 9 150 1.2× 13 0.3× 5 0.1× 95 2.9× 23 0.8× 12 272
Ignacio Hernández Medrano Spain 7 82 0.7× 10 0.3× 10 0.3× 125 3.8× 13 0.4× 15 245
Bence Bozsik Hungary 7 20 0.2× 9 0.2× 52 1.4× 18 0.5× 19 0.6× 16 249

Countries citing papers authored by Jan Willms

Since Specialization
Citations

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

Fields of papers citing papers by Jan Willms

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jan Willms

This figure shows the co-authorship network connecting the top 25 collaborators of Jan Willms. A scholar is included among the top collaborators of Jan Willms 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 Jan Willms. Jan Willms 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
3.
Bögli, Stefan Yu, Michael Veldeman, Erta Beqiri, et al.. (2024). Predicting outcome after aneurysmal subarachnoid hemorrhage by exploitation of signal complexity: a prospective two-center cohort study. Critical Care. 28(1). 163–163. 2 indexed citations
4.
Willms, Jan, J. M. Boss, Stefan Wolf, et al.. (2024). Intraparenchymal near-infrared spectroscopy for detection of delayed cerebral ischemia in poor-grade aneurysmal subarachnoid hemorrhage. Journal of Neuroscience Methods. 406. 110113–110113. 1 indexed citations
5.
Willms, Jan, Michael Hugelshofer, Kevin Akeret, et al.. (2024). OxyHbMeter—a novel bedside medical device for monitoring cell-free hemoglobin in the cerebrospinal fluid—proof of principle. SHILAP Revista de lepidopterología. 6. 1274058–1274058. 1 indexed citations
6.
Meisel, Christian, Franziska Scheibe, Andreas Meisel, et al.. (2024). A supervised, externally validated machine learning model for artifact and drainage detection in high-resolution intracranial pressure monitoring data. Journal of neurosurgery. 141(2). 509–517. 5 indexed citations
7.
Bienefeld, Nadine, et al.. (2023). Solving the explainable AI conundrum by bridging clinicians’ needs and developers’ goals. npj Digital Medicine. 6(1). 63 indexed citations
10.
Brandi, Giovanna, et al.. (2022). Functional NIRS to detect covert consciousness in neurocritical patients. Clinical Neurophysiology. 144. 72–82. 8 indexed citations
11.
Keller, E., Sebastian Winklhofer, Tilman Schubert, et al.. (2022). Single-antiplatelet regimen in ruptured cerebral blood blister and dissecting aneurysms treated with flow-diverter stent reconstruction. Journal of NeuroInterventional Surgery. 15(10). 953–957. 8 indexed citations
12.
Boss, J. M., Mira Katan, Andreas R. Luft, et al.. (2022). Blood Pressure Variability Indices for Outcome Prediction After Thrombectomy in Stroke by Using High-Resolution Data. Neurocritical Care. 37(S2). 220–229. 1 indexed citations
13.
Boss, J. M., Jan Willms, Dominique Brodbeck, et al.. (2022). ICU Cockpit: a platform for collecting multimodal waveform data, AI-based computational disease modeling and real-time decision support in the intensive care unit. Journal of the American Medical Informatics Association. 29(7). 1286–1291. 13 indexed citations
14.
Akeret, Kevin, Raphael M. Buzzi, Christian A. Schaer, et al.. (2021). Cerebrospinal fluid hemoglobin drives subarachnoid hemorrhage-related secondary brain injury. Journal of Cerebral Blood Flow & Metabolism. 41(11). 3000–3015. 40 indexed citations
15.
Brandi, Giovanna, et al.. (2021). The effect of nimodipine on pulmonary function in artificially ventilated patients with aneurysmal subarachnoid hemorrhage. Acta Neurochirurgica. 163(10). 2715–2721. 3 indexed citations
16.
Keller, E., et al.. (2021). Increase in Low-Frequency Oscillations in fNIRS as Cerebral Response to Auditory Stimulation with Familiar Music. Brain Sciences. 12(1). 42–42. 11 indexed citations
17.
18.
Keller, E., Giovanna Brandi, Sebastian Winklhofer, et al.. (2020). Large and Small Cerebral Vessel Involvement in Severe COVID-19. Stroke. 51(12). 3719–3722. 72 indexed citations
19.
Willms, Jan, et al.. (2018). Safety, Feasibility, and Efficiency of a New Cooling Device Using Intravenous Cold Infusions for Fever Control. Neurocritical Care. 30(1). 149–156. 2 indexed citations
20.
Willms, Jan, et al.. (2016). Missed Anterior Inferior Cerebellar Artery Aneurysm Mimicking Vestibular Neuritis—Clues to Prevent Misdiagnosis. Journal of Stroke and Cerebrovascular Diseases. 25(12). e231–e232. 2 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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