Nandini Raghavan

1.5k total citations
32 papers, 800 citations indexed

About

Nandini Raghavan is a scholar working on Physiology, Psychiatry and Mental health and Molecular Biology. According to data from OpenAlex, Nandini Raghavan has authored 32 papers receiving a total of 800 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Physiology, 9 papers in Psychiatry and Mental health and 8 papers in Molecular Biology. Recurrent topics in Nandini Raghavan's work include Alzheimer's disease research and treatments (10 papers), Dementia and Cognitive Impairment Research (9 papers) and Gene expression and cancer classification (5 papers). Nandini Raghavan is often cited by papers focused on Alzheimer's disease research and treatments (10 papers), Dementia and Cognitive Impairment Research (9 papers) and Gene expression and cancer classification (5 papers). Nandini Raghavan collaborates with scholars based in United States, Belgium and Australia. Nandini Raghavan's co-authors include Vaibhav A. Narayan, Gerald Novak, Allitia DiBernardo, Mahesh N. Samtani, Michael Farnum, Eric Yang, Victor S. Lobanov, Daniel Chelsky, Jieping Ye and Angus C. Nairn and has published in prestigious journals such as Bioinformatics, Neurology and Toxicological Sciences.

In The Last Decade

Nandini Raghavan

32 papers receiving 785 citations

Peers

Nandini Raghavan

PMH

PHYSI

Eric Yang United States

Michael Farnum United States

Lars Lau Rakêt Denmark

Guoqiao Wang United States

S. McKay Curtis United States

R. Yaari United States

Terence Fullerton United States

Martin Rabe Germany

Ch Davis United States

Qinying Zhao United States

Eric Yang United States

Nandini Raghavan

263 ×0.7

PMH

201 ×0.7

PHYSI

296 ×1.4

107 ×0.9

85 ×1.0

Citations per year, relative to Nandini Raghavan Nandini Raghavan (= 1×) peers Eric Yang

Countries citing papers authored by Nandini Raghavan

Since Specialization

Citations

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

Fields of papers citing papers by Nandini Raghavan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nandini Raghavan

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

All Works

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20 of 20 papers shown

Libiger, Ondrej, Leslie M. Shaw, Mark H. Watson, et al.. (2021). Longitudinal CSF proteomics identifies NPTX2 as a prognostic biomarker of Alzheimer's disease. Alzheimer s & Dementia. 17(12). 1976–1987. 55 indexed citations

Libiger, Ondrej, Leslie M. Shaw, Mark H. Watson, et al.. (2020). Identification of NPTX2 as a prognostic biomarker of Alzheimer’s disease through a longitudinal CSF proteomics study in ADNI subjects. Alzheimer s & Dementia. 16(S5). 3 indexed citations

Jacobs, Diane M., David P. Salmon, Emily C. Edmonds, et al.. (2018). P1‐049: COMPOSITE ENDPOINTS FOR ALZHEIMER'S DISEASE CLINICAL TRIALS: IMPROVED PERFORMANCE VIA OPTIMAL WEIGHTING OF COMPONENT MEASURES. Alzheimer s & Dementia. 14(7S_Part_5). 1 indexed citations

McMillian, Michael, et al.. (2016). ABC gene-ranking for prediction of drug-induced cholestasis in rats. Toxicology Reports. 3. 252–261. 5 indexed citations

Raghavan, Nandini, et al.. (2016). P3‐008: Optimal Composite Cognitive Endpoints for PRE‐Symptomatic Alzheimer’s Disease: Considerations in Bridging Across Studies. Alzheimer s & Dementia. 12(7S_Part_16). 2 indexed citations

Burnham, Samantha C., Nandini Raghavan, W.J. Wilson, et al.. (2015). Novel Statistically-Derived Composite Measures for Assessing the Efficacy of Disease-Modifying Therapies in Prodromal Alzheimer’s Disease Trials: An AIBL Study. Journal of Alzheimer s Disease. 46(4). 1079–1089. 26 indexed citations

Burnham, Samantha C., Nandini Raghavan, Bill Wilson, et al.. (2014). P4‐293: COMPARISON OF THREE NORMATIVE DATA CORRECTION APPROACHES: A CROSS‐SECTIONAL EVALUATION IN THE AIBL STUDY. Alzheimer s & Dementia. 10(4S_Part_15). 4 indexed citations

Samtani, Mahesh N., Nandini Raghavan, Gerald Novak, Partha Nandy, & Vaibhav A. Narayan. (2014). Disease progression model for Clinical Dementia Rating–Sum of Boxes in mild cognitive impairment and Alzheimer’s subjects from the Alzheimer’s Disease Neuroimaging Initiative. Neuropsychiatric Disease and Treatment. 10. 929–929. 46 indexed citations

Wessels, Alette M., Nandini Raghavan, Peng Yu, et al.. (2014). F4‐03‐04: RETROFITTING EXISTING TOOLS ACROSS THE ALZHEIMER'S DISEASE SPECTRUM. Alzheimer s & Dementia. 10(4S_Part_4). 2 indexed citations

10.

Raghavan, Nandini, Alette M. Wessels, David Shera, et al.. (2014). F4‐03‐03: VALIDATION OF NOVEL COMPOSITE OUTCOME MEASURES FOR PRE‐DEMENTIA ALZHEIMER'S DISEASE. Alzheimer s & Dementia. 10(4S_Part_4). 2 indexed citations

11.

Ye, Jieping, Michael Farnum, Eric Yang, et al.. (2012). Sparse learning and stability selection for predicting MCI to AD conversion using baseline ADNI data. BMC Neurology. 12(1). 46–46. 111 indexed citations

12.

Samtani, Mahesh N., Nandini Raghavan, Yingqi Shi, et al.. (2012). Disease progression model in subjects with mild cognitive impairment from the Alzheimer's disease neuroimaging initiative: CSF biomarkers predict population subtypes. British Journal of Clinical Pharmacology. 75(1). 146–161. 40 indexed citations

13.

Yang, Eric, Michael Farnum, Victor S. Lobanov, et al.. (2011). Quantifying the Pathophysiological Timeline of Alzheimer's Disease. Journal of Alzheimer s Disease. 26(4). 745–753. 53 indexed citations

14.

Samtani, Mahesh N., Michael Farnum, Victor S. Lobanov, et al.. (2011). An Improved Model for Disease Progression in Patients From the Alzheimer's Disease Neuroimaging Initiative. The Journal of Clinical Pharmacology. 52(5). 629–644. 62 indexed citations

15.

Fielden, Mark R., Alex Adai, Robert T. Dunn, et al.. (2011). Development and Evaluation of a Genomic Signature for the Prediction and Mechanistic Assessment of Nongenotoxic Hepatocarcinogens in the Rat. Toxicological Sciences. 124(1). 54–74. 41 indexed citations

16.

Raghavan, Nandini, et al.. (2011). Rare variant collapsing in conjunction with mean log p-value and gradient boosting approaches applied to Genetic Analysis Workshop 17 data. BMC Proceedings. 5(S9). S94–S94. 2 indexed citations

17.

Tuefferd, Marianne, An De Bondt, Ilse Van den Wyngaert, et al.. (2008). Genome‐wide copy number alterations detection in fresh frozen and matched FFPE samples using SNP 6.0 arrays. Genes Chromosomes and Cancer. 47(11). 957–964. 40 indexed citations

18.

Raghavan, Nandini, et al.. (2007). The high-level similarity of some disparate gene expression measures. Bioinformatics. 23(22). 3032–3038. 12 indexed citations

19.

Raghavan, Nandini, Dhammika Amaratunga, Alex Nie, & Michael McMillian. (2005). CLASS PREDICTION IN TOXICOGENOMICS. Journal of Biopharmaceutical Statistics. 15(2). 327–341. 12 indexed citations

20.

Raghavan, Nandini & Dennis D. Cox. (1998). Adaptive mixture importance sampling. Journal of Statistical Computation and Simulation. 60(3). 237–259. 5 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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