MT Dattani
Impact in
-
- Growth Hormone and Insulin-like Growth Factors
- Hyperglycemia and glycemic control in critically ill and hospitalized patients
- Pituitary Gland Disorders and Treatments
- Diabetes Management and Research
Papers in
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- Growth Hormone and Insulin-like Growth Factors 8
- Genetics 6
- Connective tissue disorders research 2
- Co-authors
- Peter C. Hindmarsh (2 shared papers)C G D Brook (2 shared papers)Andrew Scarsbrook (1 shared paper)Zoë Traill (1 shared paper)Dinuke Warakaulle (1 shared paper)P J Pringle (1 shared paper)Emma Webb (1 shared paper)CJ Strasburger (1 shared paper)
- Journals
- Acta Paediatrica (3 papers)Journal of Endocrinology (3 papers)Endocrinology (1 paper)Clinical Radiology (1 paper)Archives of Disease in Childhood (1 paper)
- Partner nations
- United KingdomSwitzerlandUnited States
In The Last Decade
MT Dattani
14 papers receiving 369 citations
Peers
Comparison fields: 5 of 59
- Endocrinology, Diabetes and Metabolism 250
- Genetics 85
- Clinical Biochemistry 19
- Pediatrics, Perinatology and Child Health 43
- Cancer Research 30
Countries citing papers authored by MT Dattani
This map shows the geographic impact of MT Dattani'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 MT Dattani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites MT Dattani more than expected).
Fields of papers citing papers by MT Dattani
This network shows the impact of papers produced by MT Dattani. 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 MT Dattani. The network helps show where MT Dattani may publish in the future.
Co-authors
The 25 scholars most cited alongside MT Dattani, 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 | 1996 | 72 | |
| 2 | 2000 | 67 | |
| 3 | 2005 | 38 | |
| 4 | 1992 | 36 | |
| 5 | 2008 | 32 | |
| 6 | 1999 | 24 | |
| 7 | 1994 | 20 | |
| 8 | 2010 | 17 | |
| 9 | The development of an eluted stain bioassay (ESTA) for human growth hormone. | 1995 | 16 |
| 10 | 1997 | 15 | |
| 11 | 2000 | 15 | |
| 12 | 1995 | 13 | |
| 13 | 2010 | 11 | |
| 14 | 1993 | 11 |
About MT Dattani
MT Dattani is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics, Molecular Biology, Cancer Research and Surgery, having authored 14 papers that have together received 387 indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (8 papers), Cancer, Hypoxia, and Metabolism (3 papers), Connective tissue disorders research (2 papers), Congenital heart defects research (2 papers), Metabolism and Genetic Disorders (1 paper), Lymphoma Diagnosis and Treatment (1 paper), Metabolism, Diabetes, and Cancer (1 paper) and Pancreatic function and diabetes (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (250 citations), Genetics (85 citations), Clinical Biochemistry (19 citations), Pediatrics, Perinatology and Child Health (43 citations) and Cancer Research (30 citations). MT Dattani has collaborated with scholars based in United Kingdom, Switzerland and United States. Frequent co-authors include Peter C. Hindmarsh, C G D Brook, Andrew Scarsbrook, Zoë Traill, Dinuke Warakaulle, P J Pringle, Emma Webb, CJ Strasburger, A Aynsley‐Green and Mark J. Dunne. Their work appears in journals such as Acta Paediatrica, Journal of Endocrinology, Endocrinology, Clinical Radiology and Archives of Disease in Childhood.
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.