Karissa Gable

1.3k total citations
23 papers, 442 citations indexed

About

Karissa Gable is a scholar working on Neurology, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Karissa Gable has authored 23 papers receiving a total of 442 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Neurology, 10 papers in Cellular and Molecular Neuroscience and 4 papers in Molecular Biology. Recurrent topics in Karissa Gable's work include Myasthenia Gravis and Thymoma (9 papers), Peripheral Neuropathies and Disorders (9 papers) and Hereditary Neurological Disorders (8 papers). Karissa Gable is often cited by papers focused on Myasthenia Gravis and Thymoma (9 papers), Peripheral Neuropathies and Disorders (9 papers) and Hereditary Neurological Disorders (8 papers). Karissa Gable collaborates with scholars based in United States, Canada and Serbia. Karissa Gable's co-authors include Jeffrey T. Guptill, Betty A. Maddux, Jack Youngren, Ira D. Goldfine, John A. Kerner, Margaret Lobo, Cristina Peñaranda, Michael J. Campbell, Marianna Zavodovskaya and Jeffrey A. Lieberman and has published in prestigious journals such as Neurology, Neuroscience and Frontiers in Immunology.

In The Last Decade

Karissa Gable

20 papers receiving 431 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Karissa Gable United States 11 165 139 69 58 46 23 442
Yevgen Chornenkyy United States 6 148 0.9× 95 0.7× 21 0.3× 31 0.5× 45 1.0× 22 390
Simona S. Ghanem United States 16 225 1.4× 94 0.7× 75 1.1× 68 1.2× 61 1.3× 30 474
Toshiki Fujioka Japan 13 73 0.4× 180 1.3× 90 1.3× 27 0.5× 41 0.9× 40 448
Paul Hauser United States 6 262 1.6× 37 0.3× 37 0.5× 37 0.6× 13 0.3× 7 474
Paolo Gravina Italy 13 250 1.5× 31 0.2× 45 0.7× 27 0.5× 45 1.0× 17 576
Fangfang Hu China 13 79 0.5× 131 0.9× 41 0.6× 33 0.6× 40 0.9× 27 315
Bhim Singhal India 14 236 1.4× 147 1.1× 92 1.3× 9 0.2× 21 0.5× 21 506
Christine Makowski Germany 10 229 1.4× 95 0.7× 62 0.9× 21 0.4× 24 0.5× 18 480
Haya Hamza Israel 7 199 1.2× 100 0.7× 45 0.7× 10 0.2× 68 1.5× 12 429
Ángela Arias Spain 18 290 1.8× 69 0.5× 25 0.4× 48 0.8× 15 0.3× 31 673

Countries citing papers authored by Karissa Gable

Since Specialization
Citations

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

Fields of papers citing papers by Karissa Gable

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Karissa Gable

This figure shows the co-authorship network connecting the top 25 collaborators of Karissa Gable. A scholar is included among the top collaborators of Karissa Gable 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 Karissa Gable. Karissa Gable 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.
Gable, Karissa & Yingkai Li. (2025). Chronic Inflammatory Demyelinating Polyneuropathy: How Pathophysiology Can Guide Treatment. Muscle & Nerve. 72(2). 201–211.
2.
Li, Yingkai, John S. Yi, Jeffrey T. Guptill, et al.. (2024). Immune dysregulation in chronic inflammatory demyelinating polyneuropathy. Journal of Neuroimmunology. 391. 578360–578360. 3 indexed citations
3.
Laughlin, Ruple S., Karissa Gable, Raghav Govindarajan, et al.. (2023). The Neuromuscular Portal and Match. PubMed. 2(3). e200086–e200086.
4.
Gable, Karissa. (2023). Chronic Immune-Mediated Demyelinating Neuropathies. CONTINUUM Lifelong Learning in Neurology. 29(5). 1357–1377. 1 indexed citations
5.
Gable, Karissa, Stojan Perić, Michael W. Lutz, et al.. (2022). A longitudinal evaluation of fatigue in chronic inflammatory demyelinating polyneuropathy. Brain and Behavior. 12(8). e2712–e2712. 4 indexed citations
6.
London, Zachary, Karissa Gable, Amanda C. Guidon, et al.. (2022). The neuromuscular fellowship portal and match. Muscle & Nerve. 65(6). 640–645. 3 indexed citations
7.
Lieberman, Jeremy A., Leann H. Brennaman, Leisa A. Glantz, et al.. (2020). Developmental regulation of neural cell adhesion molecule in human prefrontal cortex. UNC Libraries. 1 indexed citations
8.
Gable, Karissa & Jeffrey T. Guptill. (2020). Antagonism of the Neonatal Fc Receptor as an Emerging Treatment for Myasthenia Gravis. Frontiers in Immunology. 10. 3052–3052. 64 indexed citations
9.
Guptill, Jeffrey T., Richard Barfield, Cliburn Chan, et al.. (2020). Reduced plasmablast frequency is associated with seronegative myasthenia gravis. Muscle & Nerve. 63(4). 577–585. 3 indexed citations
10.
Li, Yingkai, Donald B. Sanders, Vern C. Juel, et al.. (2020). Knowledge and perceptions of theCOVID‐19 pandemic among patients with myasthenia gravis. Muscle & Nerve. 63(3). 357–364. 10 indexed citations
11.
Yi, John S., Shruti M. Raja, Janice M. Massey, et al.. (2019). Inhibition of the transcription factor ROR-γ reduces pathogenic Th17 cells in acetylcholine receptor antibody positive myasthenia gravis. Experimental Neurology. 325. 113146–113146. 13 indexed citations
12.
Safdieh, Joseph E., Adam Quick, Pearce Korb, et al.. (2018). A dozen years of evolution of neurology clerkships in the United States. Neurology. 91(15). e1440–e1447. 15 indexed citations
13.
Yi, John S., Janice M. Massey, Vern C. Juel, et al.. (2017). B10 Cell Frequencies and Suppressive Capacity in Myasthenia Gravis Are Associated with Disease Severity. Frontiers in Neurology. 8. 34–34. 23 indexed citations
14.
Gable, Karissa & Janice M. Massey. (2015). Presynaptic Disorders: Lambert-Eaton Myasthenic Syndrome and Botulism. Seminars in Neurology. 35(4). 340–346. 1 indexed citations
15.
Gable, Karissa, et al.. (2013). Distal Acquired Demyelinating Symmetric Neuropathy After Vaccination. Journal of Clinical Neuromuscular Disease. 14(3). 117–122. 9 indexed citations
16.
Cox, Elizabeth, Leann H. Brennaman, Karissa Gable, et al.. (2009). Developmental regulation of neural cell adhesion molecule in human prefrontal cortex. Neuroscience. 162(1). 96–105. 39 indexed citations
17.
Meyer, Gary, Louis Chesler, Dandan Liu, et al.. (2007). Nordihydroguaiaretic acid inhibits insulin‐like growth factor signaling, growth, and survival in human neuroblastoma cells. Journal of Cellular Biochemistry. 102(6). 1529–1541. 34 indexed citations
18.
Jarskog, L. Fredrik, et al.. (2006). Caspase-3 Activation in Rat Frontal Cortex Following Treatment with Typical and Atypical Antipsychotics. Neuropsychopharmacology. 32(1). 95–102. 35 indexed citations
19.
Gable, Karissa, Betty A. Maddux, Cristina Peñaranda, et al.. (2006). Diarylureas are small-molecule inhibitors of insulin-like growth factor I receptor signaling and breast cancer cell growth. Molecular Cancer Therapeutics. 5(4). 1079–1086. 55 indexed citations
20.
Youngren, Jack, Karissa Gable, Cristina Peñaranda, et al.. (2005). Nordihydroguaiaretic Acid (NDGA) Inhibits the IGF-1 and c-erbB2/HER2/neu Receptors and Suppresses Growth in Breast Cancer Cells. Breast Cancer Research and Treatment. 94(1). 37–46. 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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