Vijay K. Ramanan

3.9k total citations
62 papers, 1.5k citations indexed

About

Vijay K. Ramanan is a scholar working on Physiology, Psychiatry and Mental health and Genetics. According to data from OpenAlex, Vijay K. Ramanan has authored 62 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Physiology, 26 papers in Psychiatry and Mental health and 17 papers in Genetics. Recurrent topics in Vijay K. Ramanan's work include Alzheimer's disease research and treatments (29 papers), Dementia and Cognitive Impairment Research (25 papers) and Genetic Associations and Epidemiology (14 papers). Vijay K. Ramanan is often cited by papers focused on Alzheimer's disease research and treatments (29 papers), Dementia and Cognitive Impairment Research (25 papers) and Genetic Associations and Epidemiology (14 papers). Vijay K. Ramanan collaborates with scholars based in United States, United Kingdom and Netherlands. Vijay K. Ramanan's co-authors include Andrew J. Saykin, Li Shen, Clifford R. Jack, Jason H. Moore, Prashanthi Vemuri, Ronald C. Petersen, Gregory S. Day, David S. Knopman, Kwangsik Nho and Jonathan Graff‐Radford and has published in prestigious journals such as JAMA, SHILAP Revista de lepidopterología and Brain.

In The Last Decade

Vijay K. Ramanan

51 papers receiving 1.5k citations

Peers

Countries citing papers authored by Vijay K. Ramanan

Since Specialization

Citations

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

Fields of papers citing papers by Vijay K. Ramanan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vijay K. Ramanan. 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 Vijay K. Ramanan. The network helps show where Vijay K. Ramanan may publish in the future.

Co-authorship network of co-authors of Vijay K. Ramanan

This figure shows the co-authorship network connecting the top 25 collaborators of Vijay K. Ramanan. A scholar is included among the top collaborators of Vijay K. Ramanan 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 Vijay K. Ramanan. Vijay K. Ramanan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work	Indexed citations
1	A Roadmap to Neurologic Health Equity 2026 ·Neurology ·(unknown), Roy H. Hamilton, (unknown), (unknown), (unknown), (unknown), (unknown), Veronica Santini, Rashmi Halker, (unknown), (unknown), Eseosa T. Ighodaro, Nicole Rosendale, Vijay K. Ramanan, Kiran T. Thakur, Nimish Mohile	0
2	Longitudinal Evolution of Posterior Cortical Atrophy 2025 ·Neurology ·(unknown), (unknown), Stuart J. McCarter, Vijay K. Ramanan, Hugo Botha, David S. Knopman, Ronald C. Petersen, Bradley F. Boeve, Gregory S. Day, Neill R. Graff‐Radford, David T. Jones, Melissa E. Murray, Aivi T. Nguyen, R. Ross Reichard, Dennis W. Dickson, Deena Tajfirouz, Mary M. Machulda, Jennifer L. Whitwell, Keith A. Josephs, Jonathan Graff‐Radford	0
3	Can integration of Alzheimer’s plasma biomarkers with MRI, cardiovascular, genetics, and lifestyle measures improve cognition prediction? 2024 ·Brain Communications ·(unknown), Jonathan Graff‐Radford, Vijay K. Ramanan, Sheelakumari Raghavan, (unknown), Scott A. Przybelski, Aivi T. Nguyen, Timothy G. Lesnick, Jeffrey L. Gunter, Alicia Algeciras‐Schimnich, David S. Knopman, Mary M. Machulda, Maria Vassilaki, Val J. Lowe, Clifford R. Jack, Ronald C. Petersen, Prashanthi Vemuri	1
4	Machine Learning Models of Polygenic Risk for Enhanced Prediction of Alzheimer Disease Endophenotypes 2024 ·Neurology Genetics ·(unknown), (unknown), Jonathan Graff‐Radford, Michael G. Heckman, Clifford R. Jack, Val J. Lowe, David S. Knopman, Ronald C. Petersen, Owen A. Ross, Prashanthi Vemuri, Vijay K. Ramanan, (unknown)	5
5	Optical Coherence Tomography Angiography Retinal Imaging Associations With Burden of Small Vessel Disease and Amyloid Positivity in the Brain 2024 ·Journal of Neuro-Ophthalmology ·Camilo Bermudez, Timothy G. Lesnick, (unknown), Vijay K. Ramanan, David S. Knopman, Alejandro A. Rabinstein, Petrice M. Cogswell, Clifford R. Jack, Prashanthi Vemuri, Ronald Petersen, (unknown), John J. Chen	1
6	Older predicted age using AI EKG‐based age prediction is associated with higher Alzheimer’s disease neuropathologic change 2024 ·Alzheimer s & Dementia ·Camilo Bermudez, Jeremy A. Syrjanen, Zachi I. Attia, Paul A. Friedman, Francisco Lopez‐Jimenez, (unknown), Ronald C. Petersen, David S. Knopman, Vijay K. Ramanan, Clifford R. Jack, Aivi T. Nguyen, Ross R. Reichard, Naomi Kouri, Christina M. Moloney, Alicia Algeciras‐Schimnich, Melissa E. Murray, Michelle M. Mielke, Prashanthi Vemuri, Peter A. Noseworthy, Jonathan Graff‐Radford	0
7	Optimizing cutpoints for clinical interpretation of brain amyloid status using plasma p‐tau217 immunoassays 2024 ·Alzheimer s & Dementia ·Daniel J. Figdore, Michael Griswold, Joshua A. Bornhorst, Jonathan Graff‐Radford, Vijay K. Ramanan, Prashanthi Vemuri, Val J. Lowe, David S. Knopman, Clifford R. Jack, Ronald Petersen, Alicia Algeciras‐Schimnich	29
8	CWH43 Variants Are Associated With Disease Risk and Clinical Phenotypic Measures in Patients With Normal Pressure Hydrocephalus 2023 ·Neurology Genetics ·Philip W. Tipton, (unknown), Alexandra I. Soto‐Beasley, Gregory S. Day, Sanjeet S. Grewal, Kaisorn L. Chaichana, (unknown), Colleen T. Ball, Michael G. Heckman, Launia J. White, Zachary Quicksall, Joseph S. Reddy, Vijay K. Ramanan, Prashanthi Vemuri, Benjamin D. Elder, Nilüfer Ertekin‐Taner, Owen A. Ross, Neill R. Graff‐Radford	7
9	Antiamyloid Monoclonal Antibody Therapy for Alzheimer Disease 2023 ·Neurology ·Vijay K. Ramanan, Melissa J. Armstrong, Parichita Choudhury, (unknown), Roy H. Hamilton, Brad Klein, David A. Wolk, (unknown), Lyell K. Jones	42
10	Eligibility for Anti-Amyloid Treatment in a Population-Based Study of Cognitive Aging 2023 ·Neurology ·(unknown), Jeremiah A. Aakre, (unknown), Vijay K. Ramanan, Walter K. Kremers, Clifford R. Jack, Prashanthi Vemuri, Val J. Lowe, David S. Knopman, Ronald C. Petersen, Jonathan Graff-Radford, Maria Vassilaki	79
11	Association of Plasma Biomarkers of Alzheimer Disease With Cognition and Medical Comorbidities in a Biracial Cohort 2023 ·Neurology ·Vijay K. Ramanan, Jonathan Graff‐Radford, Jeremy A. Syrjanen, (unknown), Alicia Algeciras‐Schimnich, John A. Lucas, Yuka A. Martens, Minerva M. Carrasquillo, Gregory S. Day, Nilüfer Ertekin‐Taner, Christian Lachner, Floyd B. Willis, David S. Knopman, Clifford R. Jack, Ronald C. Petersen, Prashanthi Vemuri, Neill R. Graff‐Radford, Michelle M. Mielke	45
12	Predicting amyloid PET and tau PET stages with plasma biomarkers 2023 ·Brain ·Clifford R. Jack, Heather J. Wiste, Alicia Algeciras‐Schimnich, Daniel J. Figdore, Christopher G. Schwarz, Val J. Lowe, Vijay K. Ramanan, Prashanthi Vemuri, Michelle M. Mielke, David S. Knopman, Jonathan Graff‐Radford, Bradley F. Boeve, Kejal Kantarci, Petrice M. Cogswell, Matthew L. Senjem, Jeffrey L. Gunter, Terry M. Therneau, Ronald C. Petersen	67
13	Uncovering the distinct macro-scale anatomy of dysexecutive and behavioural degenerative diseases 2023 ·Brain ·Nick Corriveau‐Lecavalier, (unknown), Hugo Botha, Jonathan Graff‐Radford, Vijay K. Ramanan, Jeyeon Lee, Ellen Dicks, Rosa Rademakers, Bradley F. Boeve, Mary M. Machulda, Julie A. Fields, Dennis W. Dickson, Neill R. Graff‐Radford, David S. Knopman, Val J. Lowe, Ronald C. Petersen, Clifford R. Jack, David T. Jones	3
14	Genetic risk scores enhance the diagnostic value of plasma biomarkers of brain amyloidosis 2023 ·Brain ·Vijay K. Ramanan, (unknown), Jonathan Graff‐Radford, (unknown), Alicia Algeciras‐Schimnich, Daniel J. Figdore, Val J. Lowe, Michelle M. Mielke, David S. Knopman, Owen A. Ross, Clifford R. Jack, Ronald C. Petersen, Prashanthi Vemuri	15
15	Risk Factors for Dementia in Patients With Incident Rheumatoid Arthritis: A Population-Based Cohort Study 2022 ·The Journal of Rheumatology ·(unknown), (unknown), Vanessa L. Kronzer, John M. Davis, Vijay K. Ramanan, Maria Vassilaki, Michelle M. Mielke, Cynthia S. Crowson, Elena Myasoedova	13
16	Amyloid-Related Imaging Abnormalities with Emerging Alzheimer Disease Therapeutics: Detection and Reporting Recommendations for Clinical Practice 2022 ·American Journal of Neuroradiology ·Petrice M. Cogswell, Jerome Barakos, Frederik Barkhof, Tammie L.S. Benzinger, Clifford R. Jack, Tina Young Poussaint, Cyrus A. Raji, Vijay K. Ramanan, Christopher T. Whitlow	72
17	Cerebral Amyloid Angiopathy Pathology and Its Association With Amyloid-β PET Signal 2021 ·Neurology ·Stuart J. McCarter, Timothy G. Lesnick, Val J. Lowe, Michelle M. Mielke, Eleni Constantopoulos, Alejandro A. Rabinstein, Scott A. Przybelski, Hugo Botha, David T. Jones, Vijay K. Ramanan, Clifford R. Jack, Ronald C. Petersen, David S. Knopman, Bradley F. Boeve, Melissa E. Murray, Dennis W. Dickson, Prashanthi Vemuri, Kejal Kantarci, R. Ross Reichard, Jonathan Graff‐Radford	15
18	Subacute encephalitis with recovery in IgLON5 autoimmunity 2018 ·Neurology Neuroimmunology & Neuroinflammation ·Vijay K. Ramanan, Brian A. Crum, Andrew McKeon	14
19	FASTKD2 and human memory: functional pathways and prospects for novel therapeutic target development for Alzheimer's disease and age-associated memory decline 2015 ·PMC ·Vijay K. Ramanan, Andrew J. Saykin	1
20	APOE and BCHE as modulators of cerebral amyloid deposition: a florbetapir PET genome-wide association study 2013 ·Molecular Psychiatry ·Vijay K. Ramanan, Shannon L. Risacher, Kwangsik Nho, Sungjae Kim, Shanker Swaminathan, Li Shen, Tatiana Foroud, Håkon Håkonarson, Matthew J. Huentelman, Paul Aisen, Ronald Petersen, Robert C. Green, Clifford R. Jack, Robert A. Koeppe, William J. Jagust, Michael Weiner, Andrew J. Saykin, (unknown)	146

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.

Explore authors with similar magnitude of impact