Sarah Hoffmann

2.5k total citations
67 papers, 1.5k citations indexed

About

Sarah Hoffmann is a scholar working on Neurology, Epidemiology and Infectious Diseases. According to data from OpenAlex, Sarah Hoffmann has authored 67 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Neurology, 10 papers in Epidemiology and 8 papers in Infectious Diseases. Recurrent topics in Sarah Hoffmann's work include Myasthenia Gravis and Thymoma (31 papers), Peripheral Neuropathies and Disorders (18 papers) and Parkinson's Disease and Spinal Disorders (15 papers). Sarah Hoffmann is often cited by papers focused on Myasthenia Gravis and Thymoma (31 papers), Peripheral Neuropathies and Disorders (18 papers) and Parkinson's Disease and Spinal Disorders (15 papers). Sarah Hoffmann collaborates with scholars based in Germany, Switzerland and United Kingdom. Sarah Hoffmann's co-authors include Andreas Meisel, Christian Meisel, Hendrik Harms, Beat Pfister, Uwe Malzahn, Lena Ulm, Siegfried Köhler, Ulrike Grittner, Peter U. Heuschmann and Joan Montaner and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Nature Cell Biology and Stroke.

In The Last Decade

Sarah Hoffmann

61 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sarah Hoffmann Germany 22 612 373 349 169 135 67 1.5k
Laura Herbelin United States 20 1.4k 2.3× 497 1.3× 368 1.1× 81 0.5× 63 0.5× 56 2.3k
Davide Maimone Italy 25 469 0.8× 117 0.3× 254 0.7× 245 1.4× 84 0.6× 59 1.7k
Marc Pawlitzki Germany 21 357 0.6× 127 0.3× 150 0.4× 123 0.7× 46 0.3× 81 1.1k
Byung Woo Yoon South Korea 18 668 1.1× 849 2.3× 218 0.6× 140 0.8× 321 2.4× 47 1.8k
François Grand’Maison Canada 16 530 0.9× 111 0.3× 151 0.4× 130 0.8× 189 1.4× 28 1.6k
Stefanie Schreiber Germany 29 948 1.5× 1.0k 2.7× 437 1.3× 471 2.8× 232 1.7× 164 3.1k
Benjamin M. Jacobs United Kingdom 17 377 0.6× 131 0.4× 252 0.7× 145 0.9× 35 0.3× 50 1.3k
Daniel Ontaneda United States 30 717 1.2× 156 0.4× 448 1.3× 239 1.4× 51 0.4× 144 2.6k
Hui You China 22 235 0.4× 229 0.6× 302 0.9× 96 0.6× 292 2.2× 125 1.6k
Junfeng Liu China 19 344 0.6× 524 1.4× 167 0.5× 174 1.0× 237 1.8× 107 1.3k

Countries citing papers authored by Sarah Hoffmann

Since Specialization
Citations

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

Fields of papers citing papers by Sarah Hoffmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sarah Hoffmann

This figure shows the co-authorship network connecting the top 25 collaborators of Sarah Hoffmann. A scholar is included among the top collaborators of Sarah Hoffmann 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 Sarah Hoffmann. Sarah Hoffmann 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.
Gerischer, Lea, et al.. (2025). New and Emerging Biological Therapies for Myasthenia Gravis: A Focussed Review for Clinical Decision-Making. BioDrugs. 39(2). 185–213. 3 indexed citations
2.
Gerischer, Lea, Frauke Stascheit, Philipp Mergenthaler, et al.. (2025). Inhibition of Classical and Alternative Complement Pathway by Ravulizumab and Eculizumab. Annals of Clinical and Translational Neurology.
3.
Lehnerer, Sophie, Ulrike Grittner, Lea Gerischer, et al.. (2025). The burden of disease in seronegative myasthenia gravis: a patient-centered perspective. Frontiers in Immunology. 16. 1555075–1555075. 2 indexed citations
4.
Stascheit, Frauke, Annette Aigner, Christian W. Keller, et al.. (2024). Ravulizumab and Efgartigimod in Myasthenia Gravis. Neurology Neuroimmunology & Neuroinflammation. 12(1). e200331–e200331. 5 indexed citations
5.
Lehnerer, Sophie, Lea Gerischer, Frauke Stascheit, et al.. (2024). Burden of disease in Lambert-Eaton myasthenic syndrome: taking the patient’s perspective. Journal of Neurology. 271(5). 2824–2839. 1 indexed citations
6.
Hoffmann, Sarah, et al.. (2023). Are statins making older persons weaker? A discontinuation study of muscular side effects. GeroScience. 46(1). 853–865. 4 indexed citations
7.
Stascheit, Frauke, Christian W. Keller, Sarah Hoffmann, et al.. (2023). Complement activation profiles in anti‐acetylcholine receptor positive myasthenia gravis. European Journal of Neurology. 30(5). 1409–1416. 17 indexed citations
8.
Meisel, Andreas, Christian W. Keller, Sarah Hoffmann, & Heinz Wiendl. (2023). S2k-Leitlinie: Diagnostik und Therapie myasthener Syndrome. 6(4). 307–324. 4 indexed citations
9.
Grittner, Ulrike, Lea Gerischer, Frauke Stascheit, et al.. (2023). The burden of myasthenia gravis – highlighting the impact on family planning and the role of social support. Frontiers in Neurology. 14. 1307627–1307627. 2 indexed citations
10.
Stascheit, Frauke, Annette Aigner, Philipp Mergenthaler, et al.. (2023). Serum neurofilament light chain in myasthenia gravis subgroups: An exploratory cohort and case–Control study. Frontiers in Neurology. 13. 1056322–1056322. 7 indexed citations
11.
Hoffmann, Sarah, Patrick Waters, Leslie Jacobson, et al.. (2023). Autoantibody detection by a live cell-based assay in conventionally antibody-tested triple seronegative Myasthenia gravis. Neuromuscular Disorders. 33(2). 139–144. 3 indexed citations
12.
Oberle, Edward J., Matthew Clark, Susan Shenoi, et al.. (2022). Reliability of the Pediatric Specific Musculoskeletal Ultrasound Scoring Systems for the Elbow, Wrist, and Finger Joints. The Journal of Rheumatology. 50(2). 236–239. 2 indexed citations
13.
14.
Lehnerer, Sophie, Ralph Schilling, Ulrike Grittner, et al.. (2021). Burden of disease in myasthenia gravis: taking the patient’s perspective. Journal of Neurology. 269(6). 3050–3063. 90 indexed citations
15.
Hotter, Benjamin, Sarah Hoffmann, Lena Ulm, et al.. (2020). External Validation of Five Scores to Predict Stroke-Associated Pneumonia and the Role of Selected Blood Biomarkers. Stroke. 52(1). 325–330. 28 indexed citations
16.
Hotter, Benjamin, Sarah Hoffmann, Lena Ulm, et al.. (2020). Inflammatory and stress markers predicting pneumonia, outcome, and etiology in patients with stroke. Neurology Neuroimmunology & Neuroinflammation. 7(3). 34 indexed citations
17.
Klehmet, Juliane, Sarah Hoffmann, Friedemann Paul, et al.. (2019). Quantitative grip force assessment of muscular weakness in chronic inflammatory demyelinating polyneuropathy. BMC Neurology. 19(1). 118–118. 2 indexed citations
18.
Klehmet, Juliane, et al.. (2016). Stroke induces specific alteration of T memory compartment controlling auto-reactive CNS antigen-specific T cell responses. Journal of the Neurological Sciences. 368. 77–83. 19 indexed citations
19.
Hoffmann, Sarah, et al.. (2013). Convex approximation of the NP-hard search problem in feature subset selection. 3273–3277. 7 indexed citations
20.
Bunse, Stefanie, Matthias Schmidt, Sarah Hoffmann, et al.. (2011). Single Cysteines in the Extracellular and Transmembrane Regions Modulate Pannexin 1 Channel Function. The Journal of Membrane Biology. 244(1). 21–33. 32 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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