Arijit Chattopadhyay
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- Cardiomyopathy and Myosin Studies 3
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- Connective tissue disorders research 2
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- Cerebrospinal fluid and hydrocephalus 3
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- Muscle Physiology and Disorders 2
- Ion channel regulation and function 2
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- Fetal and Pediatric Neurological Disorders 3
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- Pituitary Gland Disorders and Treatments 2
- Growth Hormone and Insulin-like Growth Factors 2
- Co-authors
- Caroline A. SewryGraeme M. BydderEugenio MercuriNigel G. LaingHeinz JungbluthFrancesco MuntoniMark R. DavisSerena J. Counsell
- Partner nations
- IndiaUnited KingdomAustralia
In The Last Decade
Arijit Chattopadhyay
16 papers receiving 396 citations
Peers
Comparison fields: 5 of 54
- Cardiology and Cardiovascular Medicine 197
- Genetics 79
- Cellular and Molecular Neuroscience 73
- Molecular Biology 266
- Cell Biology 54
Countries citing papers authored by Arijit Chattopadhyay
This map shows the geographic impact of Arijit Chattopadhyay'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 Arijit Chattopadhyay with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arijit Chattopadhyay more than expected).
Fields of papers citing papers by Arijit Chattopadhyay
This network shows the impact of papers produced by Arijit Chattopadhyay. 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 Arijit Chattopadhyay. The network helps show where Arijit Chattopadhyay may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Arijit Chattopadhyay, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 3 | |
| 2 | 2012 | 8 | |
| 3 | An uncommon endocrine cause of pyrexia of unknown origin. | 2009 | 4 |
| 4 | 2008 | 0 | |
| 5 | 2006 | 9 | |
| 6 | 2005 | 28 | |
| 7 | 2004 | 80 | |
| 8 | 2004 | 102 | |
| 9 | 2004 | 4 | |
| 10 | 2003 | 18 | |
| 11 | 2003 | 9 | |
| 12 | 2002 | 114 | |
| 13 | 1999 | 6 | |
| 14 | 1996 | 3 | |
| 15 | 1996 | 3 | |
| 16 | 1994 | 1 | |
| 17 | 1994 | 12 |
About Arijit Chattopadhyay
Arijit Chattopadhyay is a scholar working on Endocrinology, Diabetes and Metabolism, Pediatrics, Perinatology and Child Health, Genetics, Cellular and Molecular Neuroscience and Nephrology, having authored 17 papers that have together received 404 indexed citations. Recurring topics across this work include Cerebrospinal fluid and hydrocephalus (3 papers), Fetal and Pediatric Neurological Disorders (3 papers), Cardiomyopathy and Myosin Studies (3 papers), Muscle Physiology and Disorders (2 papers), Connective tissue disorders research (2 papers), Ion channel regulation and function (2 papers), Pituitary Gland Disorders and Treatments (2 papers) and Growth Hormone and Insulin-like Growth Factors (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (197 citations), Genetics (79 citations), Cellular and Molecular Neuroscience (73 citations), Molecular Biology (266 citations) and Cell Biology (54 citations). Arijit Chattopadhyay has collaborated with scholars based in India, United Kingdom and Australia. Frequent co-authors include Caroline A. Sewry, Graeme M. Bydder, Eugenio Mercuri, Nigel G. Laing, Heinz Jungbluth, Francesco Muntoni, Mark R. Davis, Serena J. Counsell, Joanna Allsop and Anil Bhansali. Their work appears in journals such as Neuromuscular Disorders, Pituitary, Neurology, Diabetes Research and Clinical Practice and The Lancet.
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.