Lorenz Grunder

833 total citations · 1 hit paper
16 papers, 401 citations indexed

About

Lorenz Grunder is a scholar working on Neurology, Epidemiology and Internal Medicine. According to data from OpenAlex, Lorenz Grunder has authored 16 papers receiving a total of 401 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Neurology, 7 papers in Epidemiology and 5 papers in Internal Medicine. Recurrent topics in Lorenz Grunder's work include Acute Ischemic Stroke Management (7 papers), Venous Thromboembolism Diagnosis and Management (5 papers) and Traumatic Brain Injury and Neurovascular Disturbances (3 papers). Lorenz Grunder is often cited by papers focused on Acute Ischemic Stroke Management (7 papers), Venous Thromboembolism Diagnosis and Management (5 papers) and Traumatic Brain Injury and Neurovascular Disturbances (3 papers). Lorenz Grunder collaborates with scholars based in Switzerland, Germany and Australia. Lorenz Grunder's co-authors include Jan Gralla, Tomas Dobrocky, Philipe S. Breiding, Pasquale Mordasini, Eike I. Piechowiak, Christian T. Ulrich, Pascal J. Mosimann, Mattia Branca, Jürgen Beck and Andreas Raabe and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Neurology.

In The Last Decade

Lorenz Grunder

16 papers receiving 390 citations

Hit Papers

Assessing Spinal Cerebrospinal Fluid Leaks in Spontaneous... 2019 2026 2021 2023 2019 50 100 150
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.

  1. Assessing Spinal Cerebrospinal Fluid Leaks in Spontaneous Intracranial Hypotension With a Scoring System Based on Brain Magnetic Resonance Imaging Findings
    2019 186 citations Tomas Dobrocky, Lorenz Grunder et al. JAMA Neurology profile →

Peers

Lorenz Grunder
Jonathan Pace United States
Levin Häni Switzerland
Won Tae Yoon South Korea
Luis Jiménez‐Roldán Spain
Davide Marco Croci Switzerland
Darko Chudy Croatia
Emrah Çeltikçi Türkiye
Maurício Mandel Brazil
Şahin Hanalıoğlu Türkiye
Santhosh Kumar Kannath India
Jonathan Pace United States
Lorenz Grunder
Citations per year, relative to Lorenz Grunder Lorenz Grunder (= 1×) peers Jonathan Pace

Countries citing papers authored by Lorenz Grunder

Since Specialization
Citations

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

Fields of papers citing papers by Lorenz Grunder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lorenz Grunder

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

All Works

16 of 16 papers shown
1.
Mujanović, Adnan, Christoph C. Kurmann, Bettina L. Serrallach, et al.. (2023). Intra-Arterial Thrombolysis is Associated with Delayed Reperfusion of Remaining Vessel Occlusions following Incomplete Thrombectomy. American Journal of Neuroradiology. 44(9). 1050–1056. 1 indexed citations
2.
Mujanović, Adnan, Christoph C. Kurmann, Felix Ng, et al.. (2023). Prediction of delayed reperfusion in patients with incomplete reperfusion following thrombectomy. European Stroke Journal. 8(2). 456–466. 4 indexed citations
3.
Mujanović, Adnan, Christoph C. Kurmann, Lorenz Grunder, et al.. (2022). Association of Intravenous Thrombolysis with Delayed Reperfusion After Incomplete Mechanical Thrombectomy. Clinical Neuroradiology. 33(1). 87–98. 5 indexed citations
4.
Kurmann, Christoph C., Morin Beyeler, Lorenz Grunder, et al.. (2022). Association of the 24‐Hour National Institutes of Health Stroke Scale After Mechanical Thrombectomy With Early and Long‐Term Survival. SHILAP Revista de lepidopterología. 2(4). e000244–e000244. 4 indexed citations
5.
Vynckier, Jan, Basel Maamari, Lorenz Grunder, et al.. (2021). Early Neurologic Deterioration in Lacunar Stroke. Neurology. 97(14). e1437–e1446. 51 indexed citations
6.
McKinley, Richard, Lorenz Grunder, Raphaela Muri, et al.. (2021). Simultaneous lesion and brain segmentation in multiple sclerosis using deep neural networks. Scientific Reports. 11(1). 1087–1087. 53 indexed citations
7.
Beyeler, Morin, Christoph C. Kurmann, Eike I. Piechowiak, et al.. (2021). Association of reperfusion success and emboli in new territories with long term mortality after mechanical thrombectomy. Journal of NeuroInterventional Surgery. 14(4). 326–332. 8 indexed citations
8.
Kellner‐Weldon, Frauke, Philipe S. Breiding, Lorenz Grunder, et al.. (2020). Findings in susceptibility weighted imaging in pediatric patients with migraine with aura. European Journal of Paediatric Neurology. 28. 221–227. 6 indexed citations
9.
Dobrocky, Tomas, Anna Winklehner, Philipe S. Breiding, et al.. (2020). Spine MRI in Spontaneous Intracranial Hypotension for CSF Leak Detection: Nonsuperiority of Intrathecal Gadolinium to Heavily T2-Weighted Fat-Saturated Sequences. American Journal of Neuroradiology. 41(7). 1309–1315. 30 indexed citations
10.
Kellner‐Weldon, Frauke, Philipe S. Breiding, Lorenz Grunder, et al.. (2020). Imaging Neurovascular Uncoupling in Acute Migraine with Aura with Susceptibility Weighted Imaging. Clinical Neuroradiology. 31(3). 581–588. 5 indexed citations
11.
Breiding, Philipe S., Frauke Kellner‐Weldon, Lorenz Grunder, et al.. (2020). Quantification of cerebral veins in patients with acute migraine with aura: A fully automated quantification algorithm using susceptibility-weighted imaging. PLoS ONE. 15(6). e0233992–e0233992. 7 indexed citations
12.
Grunder, Lorenz, Roman Guggenberger, & Moritz C. Wurnig. (2020). Bildgebung des peripheren Nervensystems. Therapeutische Umschau. 77(2). 63–68. 1 indexed citations
13.
McKinley, Richard, Lorenz Grunder, Raphaela Muri, et al.. (2020). Robustness of Simultaneous Lesion and Neuroanatomy Segmentation in Multiple Sclerosis Using Deep Neural Networks. SSRN Electronic Journal. 4 indexed citations
14.
Dobrocky, Tomas, Lorenz Grunder, Philipe S. Breiding, et al.. (2019). Assessing Spinal Cerebrospinal Fluid Leaks in Spontaneous Intracranial Hypotension With a Scoring System Based on Brain Magnetic Resonance Imaging Findings. JAMA Neurology. 76(5). 580–580. 186 indexed citations breakdown →
15.
Wagner, Benedikt, Lorenz Grunder, Marwan El‐Koussy, et al.. (2018). Segmentation of Peripheral Nerves From Magnetic Resonance Neurography: A Fully-Automatic, Deep Learning-Based Approach. Frontiers in Neurology. 9. 777–777. 31 indexed citations
16.

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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