Ian T. Mathew

1.3k total citations
16 papers, 897 citations indexed

About

Ian T. Mathew is a scholar working on Cognitive Neuroscience, Psychiatry and Mental health and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Ian T. Mathew has authored 16 papers receiving a total of 897 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cognitive Neuroscience, 10 papers in Psychiatry and Mental health and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Ian T. Mathew's work include Functional Brain Connectivity Studies (9 papers), Schizophrenia research and treatment (8 papers) and Bipolar Disorder and Treatment (5 papers). Ian T. Mathew is often cited by papers focused on Functional Brain Connectivity Studies (9 papers), Schizophrenia research and treatment (8 papers) and Bipolar Disorder and Treatment (5 papers). Ian T. Mathew collaborates with scholars based in United States, Israel and Sweden. Ian T. Mathew's co-authors include Matcheri S. Keshavan, Neeraj Tandon, Brett A. Clementz, John A. Sweeney, Carol A. Tamminga, Godfrey D. Pearlson, Alan Francis, Shaun M. Eack, John Torous and Steven Chan and has published in prestigious journals such as American Journal of Psychiatry, Biological Psychiatry and Journal of Affective Disorders.

In The Last Decade

Ian T. Mathew

16 papers receiving 885 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ian T. Mathew United States	15	431	384	170	145	138	16	897
Laura M. Tully United States	16	352 0.8×	292 0.8×	56 0.3×	133 0.9×	179 1.3×	38	762
Sarah Trost Germany	16	148 0.3×	240 0.6×	72 0.4×	77 0.5×	91 0.7×	32	599
Ryosaku Kawada Japan	19	336 0.8×	470 1.2×	223 1.3×	42 0.3×	189 1.4×	35	889
Briana L. Robustelli United States	12	261 0.6×	307 0.8×	104 0.6×	38 0.3×	317 2.3×	17	851
Rebecca G. Fortgang United States	13	607 1.4×	226 0.6×	48 0.3×	83 0.6×	445 3.2×	34	1.1k
Annabel Vreeker Netherlands	15	266 0.6×	141 0.4×	76 0.4×	45 0.3×	189 1.4×	30	634
Serenella Tolomeo Singapore	17	132 0.3×	338 0.9×	59 0.3×	41 0.3×	119 0.9×	37	843
Britta Reinke Germany	16	302 0.7×	313 0.8×	202 1.2×	41 0.3×	40 0.3×	18	597
Baptiste Couvy‐Duchesne Australia	18	160 0.4×	337 0.9×	136 0.8×	20 0.1×	197 1.4×	41	904
Barbara J. Weiland United States	21	235 0.5×	649 1.7×	142 0.8×	32 0.2×	157 1.1×	26	1.1k

Countries citing papers authored by Ian T. Mathew

Since Specialization

Citations

This map shows the geographic impact of Ian T. Mathew'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 Ian T. Mathew with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ian T. Mathew more than expected).

Fields of papers citing papers by Ian T. Mathew

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ian T. Mathew. 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 Ian T. Mathew. The network helps show where Ian T. Mathew may publish in the future.

Co-authorship network of co-authors of Ian T. Mathew

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

All Works

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16 of 16 papers shown

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

Francis, Alan, Suraj Sarvode Mothi, Ian T. Mathew, et al.. (2016). Callosal Abnormalities Across the Psychosis Dimension: Bipolar Schizophrenia Network on Intermediate Phenotypes. Biological Psychiatry. 80(8). 627–635. 25 indexed citations

Brady, Roscoe O., Grace A. Masters, Ian T. Mathew, et al.. (2016). State dependent cortico-amygdala circuit dysfunction in bipolar disorder. Journal of Affective Disorders. 201. 79–87. 41 indexed citations

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

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

Torous, John, et al.. (2015). Psychiatry Residents’ Use of Educational Websites: A Pilot Survey Study. Academic Psychiatry. 39(6). 630–633. 14 indexed citations

Narayanan, Balaji, Lauren E. Ethridge, Ian T. Mathew, et al.. (2015). Genetic Sources of Subcomponents of Event-Related Potential in the Dimension of Psychosis Analyzed From the B-SNIP Study. American Journal of Psychiatry. 172(5). 466–478. 19 indexed citations

Lizano, Paulo, Matcheri S. Keshavan, Neeraj Tandon, et al.. (2015). Angiogenic and immune signatures in plasma of young relatives at familial high-risk for psychosis and first-episode patients: A preliminary study. Schizophrenia Research. 170(1). 115–122. 49 indexed citations

Torous, John, Steven Chan, Ian T. Mathew, et al.. (2014). Patient Smartphone Ownership and Interest in Mobile Apps to Monitor Symptoms of Mental Health Conditions: A Survey in Four Geographically Distinct Psychiatric Clinics. JMIR Mental Health. 1(1). e5–e5. 170 indexed citations

10.

Nanda, Pranav, Ian T. Mathew, Neeraj Tandon, et al.. (2014). Effects of lithium on cortical thickness and hippocampal subfield volumes in psychotic bipolar disorder. Journal of Psychiatric Research. 61. 180–187. 37 indexed citations

11.

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

12.

Mathew, Ian T., Tova Gardin, Neeraj Tandon, et al.. (2014). Medial Temporal Lobe Structures and Hippocampal Subfields in Psychotic Disorders. JAMA Psychiatry. 71(7). 769–769. 134 indexed citations

13.

Tandon, Neeraj, Nicolas R. Bolo, Kunal Sanghavi, et al.. (2013). Brain metabolite alterations in young adults at familial high risk for schizophrenia using proton magnetic resonance spectroscopy. Schizophrenia Research. 148(1-3). 59–66. 53 indexed citations

14.

Nanda, Pranav, Neeraj Tandon, Ian T. Mathew, et al.. (2013). Local Gyrification Index in Probands with Psychotic Disorders and Their First-Degree Relatives. Biological Psychiatry. 76(6). 447–455. 66 indexed citations

15.

Tandon, Neeraj, Jai Shah, Ian T. Mathew, et al.. (2013). Are structural brain abnormalities associated with suicidal behavior in patients with psychotic disorders?. Journal of Psychiatric Research. 47(10). 1389–1395. 92 indexed citations

16.

Francis, Alan, Larry J. Seidman, Raquelle I. Mesholam‐Gately, et al.. (2012). Alterations in brain structures underlying language function in young adults at high familial risk for schizophrenia. Schizophrenia Research. 141(1). 65–71. 29 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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