Samuel W. Cramer

881 total citations
25 papers, 607 citations indexed

About

Samuel W. Cramer is a scholar working on Neurology, Cellular and Molecular Neuroscience and Genetics. According to data from OpenAlex, Samuel W. Cramer has authored 25 papers receiving a total of 607 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Neurology, 6 papers in Cellular and Molecular Neuroscience and 5 papers in Genetics. Recurrent topics in Samuel W. Cramer's work include Glioma Diagnosis and Treatment (5 papers), Neuroscience and Neuropharmacology Research (4 papers) and Hearing, Cochlea, Tinnitus, Genetics (2 papers). Samuel W. Cramer is often cited by papers focused on Glioma Diagnosis and Treatment (5 papers), Neuroscience and Neuropharmacology Research (4 papers) and Hearing, Cochlea, Tinnitus, Genetics (2 papers). Samuel W. Cramer collaborates with scholars based in United States, Tanzania and Spain. Samuel W. Cramer's co-authors include Clark C. Chen, Timothy J. Ebner, Dandan Sun, Sharad Rajpal, Gurwattan S. Miranpuri, Daniel K. Resnick, Jessica Tilghman, Xinming Wang, Russell E. Carter and Yan Liu and has published in prestigious journals such as New England Journal of Medicine, Journal of Neuroscience and SHILAP Revista de lepidopterología.

In The Last Decade

Samuel W. Cramer

25 papers receiving 598 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Samuel W. Cramer United States 13 193 157 140 127 94 25 607
Andrey Terskov Russia 14 240 1.2× 100 0.6× 97 0.7× 53 0.4× 50 0.5× 38 488
Matthias Bruehlmeier Switzerland 13 139 0.7× 97 0.6× 90 0.6× 95 0.7× 37 0.4× 17 846
Denis E. Bragin United States 19 272 1.4× 252 1.6× 125 0.9× 108 0.9× 78 0.8× 80 981
Attila G. Bagó Hungary 15 142 0.7× 193 1.2× 96 0.7× 83 0.7× 36 0.4× 29 688
Inna Blokhina Russia 14 196 1.0× 85 0.5× 85 0.6× 45 0.4× 39 0.4× 30 415
Tiffany Ejikeme United States 6 182 0.9× 121 0.8× 23 0.2× 126 1.0× 77 0.8× 12 582
Lydia Tam United States 8 133 0.7× 187 1.2× 41 0.3× 163 1.3× 27 0.3× 18 804
Daniele de Paula Faria Brazil 16 54 0.3× 145 0.9× 56 0.4× 39 0.3× 115 1.2× 68 638
Hyun Sook Kim South Korea 19 442 2.3× 654 4.2× 75 0.5× 82 0.6× 153 1.6× 65 1.2k
Christian Bonde Denmark 17 351 1.8× 222 1.4× 45 0.3× 41 0.3× 87 0.9× 62 1.2k

Countries citing papers authored by Samuel W. Cramer

Since Specialization
Citations

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

Fields of papers citing papers by Samuel W. Cramer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Samuel W. Cramer. 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 Samuel W. Cramer. The network helps show where Samuel W. Cramer may publish in the future.

Co-authorship network of co-authors of Samuel W. Cramer

This figure shows the co-authorship network connecting the top 25 collaborators of Samuel W. Cramer. A scholar is included among the top collaborators of Samuel W. Cramer 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 Samuel W. Cramer. Samuel W. Cramer 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.
Naik, Anant, Momodou G. Bah, Ellen L. Air, et al.. (2024). Optimal Frequency in Repetitive Transcranial Magnetic Stimulation for the Management of Chronic Pain: A Network Meta-Analysis of Randomized Controlled Trials. World Neurosurgery. 184. e53–e64. 4 indexed citations
2.
3.
Naik, Anant, et al.. (2023). Influence of Body Mass Index on Surgical and Patient Outcomes for Cervical Spine Surgery. Clinical Spine Surgery A Spine Publication. 37(2). E73–E81. 1 indexed citations
4.
Cramer, Samuel W., Robert A. McGovern, Clark C. Chen, & Michael C. Park. (2023). Clinical Benefit of Vagus Nerve Stimulation for Epilepsy: Assessment of Randomized Controlled Trials and Prospective Non-Randomized Studies. SHILAP Revista de lepidopterología. 15. 2689679062–2689679062. 9 indexed citations
5.
Naik, Anant, Emily J. Smith, Joshua S. Catapano, et al.. (2022). Endovascular and Medical Management of Cerebral Venous Thrombosis: A Systematic Review and Network Meta-Analysis. World Neurosurgery. 165. e197–e205. 9 indexed citations
6.
Naik, Anant, Emily J. Smith, Samuel W. Cramer, et al.. (2022). Comparison of fluorescein sodium, 5-ALA, and intraoperative MRI for resection of high-grade gliomas: A systematic review and network meta-analysis. Journal of Clinical Neuroscience. 98. 240–247. 24 indexed citations
7.
Cramer, Samuel W., Laurentiu S. Popa, Russell E. Carter, et al.. (2022). Wide-field calcium imaging reveals widespread changes in cortical functional connectivity following mild traumatic brain injury in the mouse. Neurobiology of Disease. 176. 105943–105943. 8 indexed citations
8.
9.
Cramer, Samuel W., Huy Truong, Anant Naik, et al.. (2022). Persistent Racial Disparities in Deep Brain Stimulation for Parkinson's Disease. Annals of Neurology. 92(2). 246–254. 16 indexed citations
10.
Cramer, Samuel W., et al.. (2021). Through the looking glass: A review of cranial window technology for optical access to the brain. Journal of Neuroscience Methods. 354. 109100–109100. 53 indexed citations
11.
Truong, Huy, et al.. (2021). Pattern of technology diffusion in the adoption of stereotactic laser interstitial thermal therapy (LITT) in neuro-oncology. Journal of Neuro-Oncology. 153(3). 417–424. 12 indexed citations
12.
Cramer, Samuel W. & Clark C. Chen. (2020). Photodynamic Therapy for the Treatment of Glioblastoma. Frontiers in Surgery. 6. 81–81. 134 indexed citations
13.
Cramer, Samuel W., Robert A. McGovern, Sonya Wang, Clark C. Chen, & Michael C. Park. (2020). Resective epilepsy surgery: assessment of randomized controlled trials. Neurosurgical Review. 44(4). 2059–2067. 16 indexed citations
14.
Cramer, Samuel W., et al.. (2019). Infratentorial Glioblastoma Metastasis to Bone. World Neurosurgery. 131. 90–94. 13 indexed citations
15.
Cramer, Samuel W., Laurentiu S. Popa, Russell E. Carter, Gang Chen, & Timothy J. Ebner. (2015). Abnormal Excitability and Episodic Low-Frequency Oscillations in the Cerebral Cortex of thetotteringMouse. Journal of Neuroscience. 35(14). 5664–5679. 6 indexed citations
16.
Armbrust, Karen R., Xinming Wang, Samuel W. Cramer, et al.. (2014). Mutant  -III Spectrin Causes mGluR1  Mislocalization and Functional Deficits in a Mouse Model of Spinocerebellar Ataxia Type 5. Journal of Neuroscience. 34(30). 9891–9904. 53 indexed citations
17.
Cramer, Samuel W., et al.. (2013). Reevaluation of the Beam and Radial Hypotheses of Parallel Fiber Action in the Cerebellar Cortex. Journal of Neuroscience. 33(28). 11412–11424. 14 indexed citations
18.
Ebner, Timothy J., Xinming Wang, Wangcai Gao, Samuel W. Cramer, & Gang Chen. (2012). Parasagittal Zones in the Cerebellar Cortex Differ in Excitability, Information Processing, and Synaptic Plasticity. The Cerebellum. 11(2). 418–419. 32 indexed citations
19.
Begum, Gulnaz, Douglas B. Kintner, Yan Liu, Samuel W. Cramer, & Dandan Sun. (2011). DHA inhibits ER Ca2+ release and ER stress in astrocytes following in vitro ischemia. Journal of Neurochemistry. 120(4). 622–630. 45 indexed citations
20.
Cramer, Samuel W., et al.. (2010). Assessing Multiple Hospitalizations for Health-Plan-Managed Medicaid Diabetic Members. Journal for Healthcare Quality. 32(3). 7–14. 13 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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