Ganesh M. Shankar

14.9k total citations · 6 hit papers
87 papers, 11.2k citations indexed

About

Ganesh M. Shankar is a scholar working on Surgery, Pathology and Forensic Medicine and Physiology. According to data from OpenAlex, Ganesh M. Shankar has authored 87 papers receiving a total of 11.2k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Surgery, 20 papers in Pathology and Forensic Medicine and 19 papers in Physiology. Recurrent topics in Ganesh M. Shankar's work include Spine and Intervertebral Disc Pathology (20 papers), Management of metastatic bone disease (18 papers) and Alzheimer's disease research and treatments (18 papers). Ganesh M. Shankar is often cited by papers focused on Spine and Intervertebral Disc Pathology (20 papers), Management of metastatic bone disease (18 papers) and Alzheimer's disease research and treatments (18 papers). Ganesh M. Shankar collaborates with scholars based in United States, Ireland and India. Ganesh M. Shankar's co-authors include Dominic M. Walsh, Dennis J. Selkoe, Shaomin Li, Nina E. Shepardson, Bernardo L. Sabatini, Matthew Townsend, Cynthia A. Lemere, Michael J. Rowan, Brenda L. Bloodgood and Michael A. Farrell and has published in prestigious journals such as Nature Medicine, Neuron and Journal of Clinical Oncology.

In The Last Decade

Ganesh M. Shankar

83 papers receiving 11.1k citations

Hit Papers

Amyloid-β protein dimers ... 2004 2026 2011 2018 2008 2004 2007 2009 2011 1000 2.0k 3.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ganesh M. Shankar United States 28 8.1k 3.9k 3.4k 2.2k 1.8k 87 11.2k
Linda H. Younkin United States 44 9.2k 1.1× 4.6k 1.2× 2.8k 0.8× 2.1k 1.0× 2.5k 1.4× 72 12.1k
Marc Mercken Belgium 44 7.9k 1.0× 4.3k 1.1× 2.3k 0.7× 1.9k 0.9× 1.6k 0.9× 102 10.8k
Nobuhisa Iwata Japan 50 6.8k 0.8× 4.4k 1.1× 2.9k 0.8× 1.8k 0.8× 2.2k 1.2× 142 11.6k
Ilse Dewachter Belgium 45 5.9k 0.7× 3.9k 1.0× 2.5k 0.8× 1.6k 0.7× 2.0k 1.1× 94 9.3k
Gunnar K. Gouras Sweden 46 7.1k 0.9× 4.1k 1.0× 3.0k 0.9× 2.0k 0.9× 1.5k 0.8× 106 10.5k
Kirsten L. Viola United States 23 8.5k 1.1× 4.0k 1.0× 2.8k 0.8× 2.4k 1.1× 1.6k 0.9× 35 10.2k
Mary Jo LaDu United States 51 7.1k 0.9× 3.8k 1.0× 2.0k 0.6× 1.3k 0.6× 1.9k 1.0× 105 9.6k
Christopher B. Eckman United States 50 9.3k 1.1× 5.9k 1.5× 2.3k 0.7× 2.4k 1.1× 1.5k 0.8× 78 12.6k
Antonella Caccamo United States 36 6.4k 0.8× 3.6k 0.9× 2.9k 0.9× 2.0k 0.9× 1.8k 1.0× 56 9.6k
Karen H. Ashe United States 45 11.9k 1.5× 5.5k 1.4× 4.9k 1.4× 3.1k 1.4× 3.9k 2.1× 88 15.7k

Countries citing papers authored by Ganesh M. Shankar

Since Specialization
Citations

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

Fields of papers citing papers by Ganesh M. Shankar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ganesh M. Shankar

This figure shows the co-authorship network connecting the top 25 collaborators of Ganesh M. Shankar. A scholar is included among the top collaborators of Ganesh M. Shankar 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 Ganesh M. Shankar. Ganesh M. Shankar 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.
Sujijantarat, Nanthiya, Varun Padmanaban, Aladine A. Elsamadicy, et al.. (2025). Traumatic vertebral artery occlusion is associated with high rates of recanalization: insights from a systematic review and meta-analysis. Neurosurgical Review. 48(1). 306–306. 1 indexed citations
2.
Shankar, Ganesh M., et al.. (2025). Quantity versus quality: analysis of research publications in the 2023 neurosurgery match. Journal of neurosurgery. 142(6). 1818–1825. 1 indexed citations
3.
Massaad, Elie, Ali Kiapour, D. Thomas, et al.. (2024). Disparities in Surgical Intervention and Health-Related Quality of Life Among Racial/Ethnic Groups With Degenerative Lumbar Spondylolisthesis. Neurosurgery. 95(3). 576–583. 1 indexed citations
4.
Nanda, Pranav, Faith C. Robertson, Mercy H. Mazurek, et al.. (2024). Sub-Internship Academy: Implementation and Evaluation of Single-Day Resident-Driven Focused Sub-Internship Preparation Course. World Neurosurgery. 193. 533–542.
5.
Karavasili, Christina, Thomas E. Young, Joshua Francis, et al.. (2024). Local drug delivery challenges and innovations in spinal neurosurgery. Journal of Controlled Release. 376. 1225–1250. 2 indexed citations
6.
Fourman, Mitchell S., Layla Siraj, Duncan C. Ramsey, et al.. (2023). Can We Use Artificial Intelligence Cluster Analysis to Identify Patients with Metastatic Breast Cancer to the Spine at Highest Risk of Postoperative Adverse Events?. World Neurosurgery. 174. e26–e34. 4 indexed citations
7.
Massaad, Elie, Muhamed Hadzipasic, Shalin S. Patel, et al.. (2021). Performance assessment of the metastatic spinal tumor frailty index using machine learning algorithms: limitations and future directions. Neurosurgical FOCUS. 50(5). E5–E5. 27 indexed citations
8.
Massaad, Elie, et al.. (2021). Safety and efficacy of cement augmentation with fenestrated pedicle screws for tumor-related spinal instability. Neurosurgical FOCUS. 50(5). E12–E12. 15 indexed citations
9.
Fatima, Nida, Hui Zheng, Elie Massaad, et al.. (2020). Development and Validation of Machine Learning Algorithms for Predicting Adverse Events After Surgery for Lumbar Degenerative Spondylolisthesis. World Neurosurgery. 140. 627–641. 30 indexed citations
10.
Massaad, Elie, Nida Fatima, Ali Kiapour, et al.. (2020). Polyetheretherketone Versus Titanium Cages for Posterior Lumbar Interbody Fusion: Meta-Analysis and Review of the Literature. Neurospine. 17(1). 125–135. 54 indexed citations
11.
Fatima, Nida, Elie Massaad, Christopher Alvarez‐Breckenridge, et al.. (2020). Does Obesity Correlate with Postoperative Complications After Elective Posterior Cervical Spine Fusion?. World Neurosurgery. 141. e231–e238. 9 indexed citations
12.
Fatima, Nida, Elie Massaad, Ganesh M. Shankar, & John H. Shin. (2020). Structural Allograft versus Polyetheretherketone Implants in Patients Undergoing Spinal Fusion Surgery: A Systematic Review and Meta-Analysis. World Neurosurgery. 136. 101–109. 14 indexed citations
13.
Fatima, Nida, Elie Massaad, Muhamed Hadzipasic, Ganesh M. Shankar, & John H. Shin. (2020). Safety and accuracy of robot-assisted placement of pedicle screws compared to conventional free-hand technique: a systematic review and meta-analysis. The Spine Journal. 21(2). 181–192. 105 indexed citations
14.
Muralidharan, Koushik, Anudeep Yekula, Julia L. Small, et al.. (2020). TERT Promoter Mutation Analysis for Blood-Based Diagnosis and Monitoring of Gliomas. Clinical Cancer Research. 27(1). 169–178. 62 indexed citations
15.
Shankar, Ganesh M., et al.. (2018). Differential sensitivity of chronic high-fat-diet-induced obesity in Sprague-Dawley rats. Journal of Basic and Clinical Physiology and Pharmacology. 29(5). 553–563. 5 indexed citations
16.
Tateishi, Kensuke, Fumi Higuchi, Julie J. Miller, et al.. (2017). The Alkylating Chemotherapeutic Temozolomide Induces Metabolic Stress in IDH1 -Mutant Cancers and Potentiates NAD+ Depletion–Mediated Cytotoxicity. Cancer Research. 77(15). 4102–4115. 73 indexed citations
17.
Shankar, Ganesh M., Malcolm A. Leissring, Anthony Adame, et al.. (2009). Biochemical and immunohistochemical analysis of an Alzheimer's disease mouse model reveals the presence of multiple cerebral Aβ assembly forms throughout life. Neurobiology of Disease. 36(2). 293–302. 101 indexed citations
18.
Li, Shaomin, Soyon Hong, Nina E. Shepardson, et al.. (2009). Soluble Oligomers of Amyloid β Protein Facilitate Hippocampal Long-Term Depression by Disrupting Neuronal Glutamate Uptake. Neuron. 62(6). 788–801. 771 indexed citations breakdown →
19.
Farris, Wesley, Sonja G. Schütz, John R. Cirrito, et al.. (2007). Loss of Neprilysin Function Promotes Amyloid Plaque Formation and Causes Cerebral Amyloid Angiopathy. American Journal Of Pathology. 171(1). 241–251. 126 indexed citations
20.
Cleary, James, Dominic M. Walsh, J. Hofmeister, et al.. (2004). Natural oligomers of the amyloid-β protein specifically disrupt cognitive function. Nature Neuroscience. 8(1). 79–84. 1417 indexed citations breakdown →

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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