Jayachandra M. Raghava

860 total citations
25 papers, 393 citations indexed

About

Jayachandra M. Raghava is a scholar working on Psychiatry and Mental health, Radiology, Nuclear Medicine and Imaging and Cognitive Neuroscience. According to data from OpenAlex, Jayachandra M. Raghava has authored 25 papers receiving a total of 393 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Psychiatry and Mental health, 14 papers in Radiology, Nuclear Medicine and Imaging and 12 papers in Cognitive Neuroscience. Recurrent topics in Jayachandra M. Raghava's work include Advanced Neuroimaging Techniques and Applications (14 papers), Functional Brain Connectivity Studies (11 papers) and Schizophrenia research and treatment (9 papers). Jayachandra M. Raghava is often cited by papers focused on Advanced Neuroimaging Techniques and Applications (14 papers), Functional Brain Connectivity Studies (11 papers) and Schizophrenia research and treatment (9 papers). Jayachandra M. Raghava collaborates with scholars based in Denmark, Australia and Netherlands. Jayachandra M. Raghava's co-authors include Egill Rostrup, Birte Glenthøj, Bjørn H. Ebdrup, Mette Ødegaard Nielsen, Birgitte Fagerlund, Poul Videbech, Henrik Larsson, Christos Pantelis, Kristine Krakauer and Merete Nordentoft and has published in prestigious journals such as SHILAP Revista de lepidopterología, Psychological Medicine and Schizophrenia Bulletin.

In The Last Decade

Jayachandra M. Raghava

25 papers receiving 390 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jayachandra M. Raghava Denmark	13	211	182	148	72	49	25	393
Jianhua Sheng China	13	205 1.0×	203 1.1×	114 0.8×	47 0.7×	76 1.6×	33	438
Jamila Ahdidan Denmark	9	134 0.6×	139 0.8×	121 0.8×	41 0.6×	55 1.1×	10	433
Shaojuan Qiu China	8	203 1.0×	339 1.9×	118 0.8×	31 0.4×	51 1.0×	9	469
Nagahisa Okamoto Japan	6	116 0.5×	121 0.7×	94 0.6×	131 1.8×	27 0.6×	8	333
Kota Sakamoto Japan	5	115 0.5×	118 0.6×	94 0.6×	130 1.8×	26 0.5×	8	320
Alexandra Roldán Spain	11	353 1.7×	211 1.2×	79 0.5×	64 0.9×	40 0.8×	24	652
Lauren Nutile United States	6	166 0.8×	238 1.3×	62 0.4×	87 1.2×	51 1.0×	9	567
Nicholas T. Lemke United States	7	234 1.1×	218 1.2×	126 0.9×	158 2.2×	141 2.9×	12	474
Aikaterini Xekardaki Switzerland	10	232 1.1×	130 0.7×	133 0.9×	16 0.2×	50 1.0×	11	443
Indrag K. Lampe Netherlands	8	122 0.6×	185 1.0×	57 0.4×	111 1.5×	31 0.6×	10	362

Countries citing papers authored by Jayachandra M. Raghava

Since Specialization

Citations

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

Fields of papers citing papers by Jayachandra M. Raghava

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jayachandra M. Raghava

This figure shows the co-authorship network connecting the top 25 collaborators of Jayachandra M. Raghava. A scholar is included among the top collaborators of Jayachandra M. Raghava 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 Jayachandra M. Raghava. Jayachandra M. Raghava 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

Kristensen, Tina Dam, Jayachandra M. Raghava, Warda Syeda, et al.. (2024). Structural and functional connectivity in relation to executive functions in antipsychotic-naïve patients with first episode schizophrenia. SHILAP Revista de lepidopterología. 10(1). 72–72. 2 indexed citations

Kristensen, Tina Dam, Jayachandra M. Raghava, Thijs Dhollander, et al.. (2023). Fibre density and fibre-bundle cross-section of the corticospinal tract are distinctly linked to psychosis-specific symptoms in antipsychotic-naïve patients with first-episode schizophrenia. European Archives of Psychiatry and Clinical Neuroscience. 273(8). 1797–1812. 5 indexed citations

Vinding, Rebecca, Jens Richardt Møllegaard Jepsen, Ulrich Lindberg, et al.. (2022). Effects of prenatal nutrient supplementation and early life exposures on neurodevelopment at age 10: a randomised controlled trial - the COPSYCH study protocol. BMJ Open. 12(2). e047706–e047706. 10 indexed citations

Kristensen, Tina Dam, Louise Birkedal Glenthøj, Warda Syeda, et al.. (2021). Global fractional anisotropy predicts transition to psychosis after 12 months in individuals at ultra‐high risk for psychosis. Acta Psychiatrica Scandinavica. 144(5). 448–463. 12 indexed citations

Raghava, Jayachandra M., Christos Pantelis, Egill Rostrup, et al.. (2021). Associations between cognition and white matter microstructure in first-episode antipsychotic-naïve patients with schizophrenia and healthy controls: A multivariate pattern analysis. Cortex. 139. 282–297. 6 indexed citations

Amin, Faisal Mohammad, Roberto De Icco, Mohammad Al‐Mahdi Al‐Karagholi, et al.. (2021). Investigation of cortical thickness and volume during spontaneous attacks of migraine without aura: a 3-Tesla MRI study. The Journal of Headache and Pain. 22(1). 98–98. 17 indexed citations

Kristensen, Tina Dam, Louise Birkedal Glenthøj, Jayachandra M. Raghava, et al.. (2021). Changes in negative symptoms are linked to white matter changes in superior longitudinal fasciculus in individuals at ultra-high risk for psychosis. Schizophrenia Research. 237. 192–201. 7 indexed citations

Raghava, Jayachandra M., et al.. (2020). Hippocampal volume and memory impairment after electroconvulsive therapy in patients with depression. Acta Psychiatrica Scandinavica. 143(3). 238–252. 30 indexed citations

Axelsen, M., Nikolaj Bak, Lars Arvastson, et al.. (2020). A machine-learning framework for robust and reliable prediction of short- and long-term treatment response in initially antipsychotic-naïve schizophrenia patients based on multimodal neuropsychiatric data. Translational Psychiatry. 10(1). 276–276. 32 indexed citations

10.

Meltzer, Herbert Y., Vibe G. Frøkjær, Jayachandra M. Raghava, et al.. (2020). Identification of a Serotonin 2A Receptor Subtype of Schizophrenia Spectrum Disorders With Pimavanserin: The Sub-Sero Proof-of-Concept Trial Protocol. Frontiers in Pharmacology. 11. 591–591. 9 indexed citations

11.

Kristensen, Tina Dam, Bjørn H. Ebdrup, Carsten Hjorthøj, et al.. (2020). No Effects of Cognitive Remediation on Cerebral White Matter in Individuals at Ultra-High Risk for Psychosis—A Randomized Clinical Trial. Frontiers in Psychiatry. 11. 873–873. 5 indexed citations

12.

Raghava, Jayachandra M., Claus Svarer, Sanne Wulff, et al.. (2020). Striatal Volume Increase After Six Weeks of Selective Dopamine D2/3 Receptor Blockade in First-Episode, Antipsychotic-Naïve Schizophrenia Patients. Frontiers in Neuroscience. 14. 484–484. 18 indexed citations

13.

Rostrup, Egill, et al.. (2020). Volume of hippocampal subregions and clinical improvement following electroconvulsive therapy in patients with depression. Progress in Neuro-Psychopharmacology and Biological Psychiatry. 104. 110048–110048. 32 indexed citations

14.

Raghava, Jayachandra M., René C.W. Mandl, Mette Ødegaard Nielsen, et al.. (2020). Multimodal assessment of white matter microstructure in antipsychotic-naïve schizophrenia patients and confounding effects of recreational drug use. Brain Imaging and Behavior. 15(1). 36–48. 8 indexed citations

15.

Kristensen, Tina Dam, René C.W. Mandl, Jayachandra M. Raghava, et al.. (2019). Widespread higher fractional anisotropy associates to better cognitive functions in individuals at ultra‐high risk for psychosis. Human Brain Mapping. 40(18). 5185–5201. 21 indexed citations

16.

Ebdrup, Bjørn H., M. Axelsen, Nikolaj Bak, et al.. (2018). Accuracy of diagnostic classification algorithms using cognitive-, electrophysiological-, and neuroanatomical data in antipsychotic-naïve schizophrenia patients. Psychological Medicine. 49(16). 2754–2763. 26 indexed citations

17.

Mandl, René C.W., Birgitte Fagerlund, Kirsten Borup Bojesen, et al.. (2018). Patterns of Cortical Structures and Cognition in Antipsychotic-Naïve Patients With First-Episode Schizophrenia: A Partial Least Squares Correlation Analysis. Biological Psychiatry Cognitive Neuroscience and Neuroimaging. 4(5). 444–453. 18 indexed citations

18.

Krakauer, Kristine, Bjørn H. Ebdrup, Birte Glenthøj, et al.. (2017). Patterns of white matter microstructure in individuals at ultra-high-risk for psychosis: associations to level of functioning and clinical symptoms. Psychological Medicine. 47(15). 2689–2707. 35 indexed citations

19.

Debes, Nanette Mol, et al.. (2014). Longitudinal Magnetic Resonance Imaging (MRI) Analysis of the Developmental Changes of Tourette Syndrome Reveal Reduced Diffusion in the Cortico-Striato-Thalamo-Cortical Pathways. Journal of Child Neurology. 30(10). 1315–1326. 20 indexed citations

20.

Amin, Faisal Mohammad, Ulrich Lindberg, Jayachandra M. Raghava, & Anders Hougaard. (2012). [The cerebral representation of the Christmas spirit. A transcultural functional magnetic resonance study].. PubMed. 174(49). 3082–4. 1 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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