Jaya Padmanabhan

1.7k total citations
22 papers, 712 citations indexed

About

Jaya Padmanabhan is a scholar working on Psychiatry and Mental health, Cognitive Neuroscience and Molecular Biology. According to data from OpenAlex, Jaya Padmanabhan has authored 22 papers receiving a total of 712 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Psychiatry and Mental health, 11 papers in Cognitive Neuroscience and 3 papers in Molecular Biology. Recurrent topics in Jaya Padmanabhan's work include Schizophrenia research and treatment (8 papers), Functional Brain Connectivity Studies (7 papers) and Genetic Associations and Epidemiology (3 papers). Jaya Padmanabhan is often cited by papers focused on Schizophrenia research and treatment (8 papers), Functional Brain Connectivity Studies (7 papers) and Genetic Associations and Epidemiology (3 papers). Jaya Padmanabhan collaborates with scholars based in United States, Canada and India. Jaya Padmanabhan's co-authors include Matcheri S. Keshavan, Neeraj Tandon, Carol A. Tamminga, Brett A. Clementz, Godfrey D. Pearlson, Jai Shah, John A. Sweeney, Chiara S. Haller, John Torous and Ian T. Mathew and has published in prestigious journals such as Neurology, Biological Psychiatry and Cerebral Cortex.

In The Last Decade

Jaya Padmanabhan

22 papers receiving 702 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jaya Padmanabhan United States 13 340 283 110 108 94 22 712
Maurício H. Serpa Brazil 16 331 1.0× 318 1.1× 110 1.0× 119 1.1× 98 1.0× 45 701
Dengtang Liu China 15 258 0.8× 268 0.9× 92 0.8× 136 1.3× 98 1.0× 53 640
Darren Roddy Ireland 14 235 0.7× 268 0.9× 75 0.7× 99 0.9× 67 0.7× 31 836
Benny Liberg Sweden 15 257 0.8× 194 0.7× 41 0.4× 78 0.7× 71 0.8× 31 534
François‐Laurent De Winter Belgium 16 390 1.1× 358 1.3× 137 1.2× 67 0.6× 66 0.7× 39 873
Yoonho Chung United States 11 437 1.3× 438 1.5× 87 0.8× 242 2.2× 85 0.9× 18 885
Monika Mak Poland 15 248 0.7× 132 0.5× 45 0.4× 83 0.8× 63 0.7× 58 638
Yanbin Jia China 14 260 0.8× 326 1.2× 59 0.5× 202 1.9× 107 1.1× 47 687
Goran Papenberg Sweden 21 210 0.6× 533 1.9× 85 0.8× 125 1.2× 114 1.2× 49 1.0k
June Kang South Korea 15 115 0.3× 325 1.1× 51 0.5× 154 1.4× 108 1.1× 47 757

Countries citing papers authored by Jaya Padmanabhan

Since Specialization
Citations

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

Fields of papers citing papers by Jaya Padmanabhan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jaya Padmanabhan

This figure shows the co-authorship network connecting the top 25 collaborators of Jaya Padmanabhan. A scholar is included among the top collaborators of Jaya Padmanabhan 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 Jaya Padmanabhan. Jaya Padmanabhan 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.
Shanbhag, Niraj M., Jaya Padmanabhan, Zheng Zhang, et al.. (2025). An Acetylcholine M1 Receptor–Positive Allosteric Modulator (TAK-071) in Parkinson Disease With Cognitive Impairment. JAMA Neurology. 82(2). 152–152. 5 indexed citations
2.
3.
Sadaei, Hossein Javedani, Aldo Córdova‐Palomera, Jong Hun Lee, et al.. (2022). Genetically-informed prediction of short-term Parkinson’s disease progression. npj Parkinson s Disease. 8(1). 143–143. 10 indexed citations
4.
Padmanabhan, Jaya, Danielle Cooke, Juho Joutsa, et al.. (2019). A Human Depression Circuit Derived From Focal Brain Lesions. Biological Psychiatry. 86(10). 749–758. 156 indexed citations
5.
Wong, Bonnie, Diane Lucente, Julie MacLean, et al.. (2019). Diagnostic Evaluation and Monitoring of Patients With Posterior Cortical Atrophy. Neurodegenerative Disease Management. 9(4). 217–239. 19 indexed citations
6.
Lizano, Paulo, Olivia Lutz, George M. Ling, et al.. (2018). VEGFA GENE variation influences hallucinations and frontotemporal morphology in psychotic disorders: a B-SNIP study. Translational Psychiatry. 8(1). 215–215. 10 indexed citations
7.
Shafee, Rebecca, Pranav Nanda, Jaya Padmanabhan, et al.. (2018). Polygenic risk for schizophrenia and measured domains of cognition in individuals with psychosis and controls. Translational Psychiatry. 8(1). 78–78. 44 indexed citations
8.
Mehta, Urvakhsh Meherwan, et al.. (2018). Motor cortical plasticity in schizophrenia: A meta-analysis of Transcranial Magnetic Stimulation – Electromyography studies. Schizophrenia Research. 207. 37–47. 17 indexed citations
9.
Buss, Stephanie S., Jaya Padmanabhan, Sadhvi Saxena, Álvaro Pascual‐Leone, & Peter J. Fried. (2018). Atrophy in Distributed Networks Predicts Cognition in Alzheimer’s Disease and Type 2 Diabetes. Journal of Alzheimer s Disease. 65(4). 1301–1312. 12 indexed citations
10.
Padmanabhan, Jaya, Jai Shah, Neeraj Tandon, & Matcheri S. Keshavan. (2016). The “polyenviromic risk score”: Aggregating environmental risk factors predicts conversion to psychosis in familial high-risk subjects. Schizophrenia Research. 181. 17–22. 65 indexed citations
11.
Tandon, Neeraj, Pranav Nanda, Jaya Padmanabhan, et al.. (2016). Novel gene-brain structure relationships in psychotic disorder revealed using parallel independent component analyses. Schizophrenia Research. 182. 74–83. 9 indexed citations
12.
Tamminga, Carol A., Godfrey D. Pearlson, Ana D. Stan, et al.. (2016). Strategies for Advancing Disease Definition Using Biomarkers and Genetics: The Bipolar and Schizophrenia Network for Intermediate Phenotypes. Biological Psychiatry Cognitive Neuroscience and Neuroimaging. 2(1). 20–27. 56 indexed citations
13.
Padmanabhan, Jaya, Pranav Nanda, Neeraj Tandon, et al.. (2016). Polygenic risk for type 2 diabetes mellitus among individuals with psychosis and their relatives. Journal of Psychiatric Research. 77. 52–58. 19 indexed citations
14.
Nanda, Pranav, Neeraj Tandon, Ian T. Mathew, et al.. (2015). Impulsivity across the psychosis spectrum: Correlates of cortical volume, suicidal history, and social and global function. Schizophrenia Research. 170(1). 80–86. 40 indexed citations
15.
Keshavan, Matcheri S., Urvakhsh Meherwan Mehta, Jaya Padmanabhan, & Jai Shah. (2015). Dysplasticity, metaplasticity, and schizophrenia: Implications for risk, illness, and novel interventions. Development and Psychopathology. 27(2). 615–635. 43 indexed citations
16.
Torous, John, Adam P. Stern, Jaya Padmanabhan, Matcheri S. Keshavan, & David L. Perez. (2015). A proposed solution to integrating cognitive-affective neuroscience and neuropsychiatry in psychiatry residency training: The time is now. Asian Journal of Psychiatry. 17. 116–121. 19 indexed citations
17.
Mothi, Suraj Sarvode, Neeraj Tandon, Jaya Padmanabhan, et al.. (2015). Increased cardiometabolic dysfunction in first-degree relatives of patients with psychotic disorders. Schizophrenia Research. 165(1). 103–107. 31 indexed citations
18.
Haller, Chiara S., Jaya Padmanabhan, Paulo Lizano, John Torous, & Matcheri S. Keshavan. (2014). Recent advances in understanding schizophrenia. F1000Prime Reports. 6. 57–57. 48 indexed citations
19.
Torous, John & Jaya Padmanabhan. (2014). Research by residents: Obstacles and opportunities. Asian Journal of Psychiatry. 13. 81–82. 7 indexed citations
20.
Padmanabhan, Jaya, Neeraj Tandon, Chiara S. Haller, et al.. (2014). Correlations Between Brain Structure and Symptom Dimensions of Psychosis in Schizophrenia, Schizoaffective, and Psychotic Bipolar I Disorders. Schizophrenia Bulletin. 41(1). 154–162. 88 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Maurício H. Serpa Breakdown of academic impact, for papers by Dengtang Liu Breakdown of academic impact, for papers by Darren Roddy Breakdown of academic impact, for papers by Benny Liberg Breakdown of academic impact, for papers by François‐Laurent De Winter Breakdown of academic impact, for papers by Yoonho Chung Breakdown of academic impact, for papers by Monika Mak Breakdown of academic impact, for papers by Yanbin Jia Breakdown of academic impact, for papers by Goran Papenberg Breakdown of academic impact, for papers by June Kang
Rankless by CCL
2026