Carol M. Singh

2.7k total citations
27 papers, 1.4k citations indexed

About

Carol M. Singh is a scholar working on Pathology and Forensic Medicine, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Carol M. Singh has authored 27 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Pathology and Forensic Medicine, 8 papers in Molecular Biology and 7 papers in Cellular and Molecular Neuroscience. Recurrent topics in Carol M. Singh's work include Multiple Sclerosis Research Studies (11 papers), Neurobiology and Insect Physiology Research (5 papers) and Polyomavirus and related diseases (5 papers). Carol M. Singh is often cited by papers focused on Multiple Sclerosis Research Studies (11 papers), Neurobiology and Insect Physiology Research (5 papers) and Polyomavirus and related diseases (5 papers). Carol M. Singh collaborates with scholars based in United States, Canada and Switzerland. Carol M. Singh's co-authors include Ulrike Heberlein, Monica Moore, Tim Tully, Henrike Scholz, Linus Tsai, Wendi S. Neckameyer, Roland J. Bainton, Tatiana Plavina, Richard A. Rudick and Carl de Moor and has published in prestigious journals such as Nature, Cell and Neuron.

In The Last Decade

Carol M. Singh

25 papers receiving 1.4k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Carol M. Singh 864 558 231 207 201 27 1.4k
Tieqiao Wen 678 0.8× 1.3k 2.3× 104 0.5× 285 1.4× 142 0.7× 89 2.4k
Frances Hannan 970 1.1× 751 1.3× 246 1.1× 307 1.5× 256 1.3× 21 1.8k
Bernhard T. Hovemann 588 0.7× 358 0.6× 89 0.4× 186 0.9× 210 1.0× 23 1.0k
Takako Morimoto 505 0.6× 447 0.8× 204 0.9× 149 0.7× 128 0.6× 51 1.1k
Shahar Frechter 791 0.9× 369 0.7× 144 0.6× 188 0.9× 64 0.3× 19 1.1k
Nissim Ben‐Arie 624 0.7× 1.7k 3.0× 154 0.7× 348 1.7× 49 0.2× 29 3.0k
Lyle E. Fox 630 0.7× 496 0.9× 90 0.4× 181 0.9× 88 0.4× 26 1.0k
Matthieu Y. Pasco 418 0.5× 482 0.9× 204 0.9× 124 0.6× 89 0.4× 11 1.4k
Darren W. Williams 959 1.1× 791 1.4× 335 1.5× 275 1.3× 40 0.2× 47 1.9k
Vincent Rehder 1.1k 1.2× 619 1.1× 348 1.5× 222 1.1× 176 0.9× 48 1.6k

Countries citing papers authored by Carol M. Singh

Since Specialization
Citations

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

Fields of papers citing papers by Carol M. Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Carol M. Singh. 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 Carol M. Singh. The network helps show where Carol M. Singh may publish in the future.

Co-authorship network of co-authors of Carol M. Singh

This figure shows the co-authorship network connecting the top 25 collaborators of Carol M. Singh. A scholar is included among the top collaborators of Carol M. Singh 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 Carol M. Singh. Carol M. Singh 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
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Jiang, Xiaotong, Changyu Shen, Charlotte E. Teunissen, et al.. (2023). Glial fibrillary acidic protein and multiple sclerosis progression independent of acute inflammation. Multiple Sclerosis Journal. 29(9). 1070–1079. 10 indexed citations
3.
Cutter, Gary, Richard A. Rudick, Carl de Moor, et al.. (2023). Serum neurofilament light-chain levels and long-term treatment outcomes in relapsing-remitting multiple sclerosis patients: A post hoc analysis of the randomized CombiRx trial. Multiple Sclerosis Journal - Experimental Translational and Clinical. 9(2). 3100532663–3100532663. 7 indexed citations
4.
Lee, Stephen, Tatiana Plavina, Carol M. Singh, et al.. (2022). Development of a Highly Sensitive Neurofilament Light Chain Assay on an Automated Immunoassay Platform. Frontiers in Neurology. 13. 935382–935382. 31 indexed citations
5.
Cohen, Jeffrey A., Robert A Bermel, Carrie M. Hersh, et al.. (2022). Immunoglobulin G immune response to SARS-CoV-2 vaccination in people living with multiple sclerosis within Multiple Sclerosis Partners Advancing Technology and Health Solutions. Multiple Sclerosis Journal. 28(7). 1131–1137. 15 indexed citations
6.
Foley, John, Carol M. Singh, Evan L. Riddle, et al.. (2022). Serum neurofilament light levels in natalizumab-treated patients with multiple sclerosis who switch to extended interval dosing from every-4-week dosing in real-world clinical practice. Multiple Sclerosis Journal. 29(2). 196–205. 1 indexed citations
7.
Sotirchos, Elias S., Kathryn C. Fitzgerald, Matthew D. Smith, et al.. (2021). Associations of Serum Neurofilament Light Chain with Clinico-Radiological Characteristics in the MSPATHS Network: A Cross-Sectional Evaluation (1722). Neurology. 96(15_supplement). 4 indexed citations
8.
Cutter, Gary, Richard A. Rudick, Carl de Moor, et al.. (2021). Serum neurofilament light-chain (sNfL) levels and long-term treatment outcomes in relapsing-remitting multiple sclerosis (RRMS) patients in the CombiRx trial (2410). Neurology. 96(15_supplement). 1 indexed citations
9.
Calabresi, Peter A., Douglas L. Arnold, Dipen Sangurdekar, et al.. (2020). Temporal profile of serum neurofilament light in multiple sclerosis: Implications for patient monitoring. Multiple Sclerosis Journal. 27(10). 1497–1505. 28 indexed citations
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Calabresi, Peter A., Douglas L. Arnold, R. Philip Kinkel, et al.. (2018). Serum Neurofilament Light (NfL): Towards a Blood Test for Prognosis and Disease/Treatment Monitoring in Multiple Sclerosis Patients (S24.003). Neurology. 90(15_supplement). 6 indexed citations
13.
Wu, Jun, V. A. Vigont, Lori Hrdlicka, et al.. (2011). Neuronal Store-Operated Calcium Entry Pathway as a Novel Therapeutic Target for Huntington's Disease Treatment. Chemistry & Biology. 18(6). 777–793. 127 indexed citations
14.
Foos, Marianna, et al.. (2010). P1‐157: Modeling Alzheimer's disease in Drosophila melanogaster for large‐scale compound screening. Alzheimer s & Dementia. 6(4S_Part_7). 1 indexed citations
15.
Singh, Carol M., et al.. (2008). Acquired Anterior Basal Encephalocele in Idiopathic Hypertrophic Pachymeningitis. The Neuroradiology Journal. 21(6). 791–794. 4 indexed citations
16.
Bainton, Roland J., Linus Tsai, Carol M. Singh, et al.. (2000). Dopamine modulates acute responses to cocaine, nicotine and ethanol in Drosophila. Current Biology. 10(4). 187–194. 252 indexed citations
17.
Scholz, Henrike, et al.. (2000). Functional Ethanol Tolerance in Drosophila. Neuron. 28(1). 261–271. 176 indexed citations
18.
Singh, Carol M. & Ulrike Heberlein. (2000). Genetic Control of Acute Ethanol-Induced Behaviors in Drosophila. Alcoholism Clinical and Experimental Research. 24(8). 1127–1136. 13 indexed citations
19.
Moore, Monica, et al.. (1998). Ethanol Intoxication in Drosophila: Genetic and Pharmacological Evidence for Regulation by the cAMP Signaling Pathway. Cell. 93(6). 997–1007. 375 indexed citations
20.
Heberlein, Ulrike, et al.. (1995). Growth and differentiation in the Drosophila eye coordinated by hedgehog. Nature. 373(6516). 709–711. 168 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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