Toos Sachinwalla
- Epidemiology top 5%
- Physiology top 5%
- Endocrinology, Diabetes and Metabolism top 5%
- Pulmonary and Respiratory Medicine
- Hepatology top 5%
- Co-authors
- Nathan A. JohnsonMartin W. ThompsonJacob GeorgeDavid WaltonK. Viner SmithAshley ArmstrongCampbell ThompsonStephen R. Stannard
- Topics
- Adipose Tissue and Metabolism (8 papers)Muscle metabolism and nutrition (6 papers)Diet and metabolism studies (5 papers)
- Partner nations
- AustraliaNew ZealandUnited Kingdom
In The Last Decade
Toos Sachinwalla
20 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 84
- Epidemiology 531
- Physiology 484
- Endocrinology, Diabetes and Metabolism 278
- Pulmonary and Respiratory Medicine 162
- Hepatology 145
Countries citing papers authored by Toos Sachinwalla
This map shows the geographic impact of Toos Sachinwalla'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 Toos Sachinwalla with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Toos Sachinwalla more than expected).
Fields of papers citing papers by Toos Sachinwalla
This network shows the impact of papers produced by Toos Sachinwalla. 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 Toos Sachinwalla. The network helps show where Toos Sachinwalla may publish in the future.
Co-authorship network of co-authors of Toos Sachinwalla
This figure shows the co-authorship network connecting the top 25 collaborators of Toos Sachinwalla. A scholar is included among the top collaborators of Toos Sachinwalla 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 Toos Sachinwalla. Toos Sachinwalla is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 10 | |
| 3 | 8 | |
| 4 | 8 | |
| 5 | 0 | |
| 6 | Aerobic Exercise Training Reduces Hepatic and Visceral Lipids in Obese Individuals Without Weight Loss†breakdown → | 487 |
| 7 | 25 | |
| 8 | 129 | |
| 9 | 2 | |
| 10 | 6 | |
| 11 | 32 | |
| 12 | 57 | |
| 13 | 52 | |
| 14 | 63 | |
| 15 | 7 | |
| 16 | 14 | |
| 17 | 70 | |
| 18 | 6 | |
| 19 | 4 | |
| 20 | 2 |
About Toos Sachinwalla
Toos Sachinwalla is a scholar working on Physiology, Cell Biology and Endocrine and Autonomic Systems, having authored 21 papers that have together received 1.1k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (8 papers), Muscle metabolism and nutrition (6 papers) and Diet and metabolism studies (5 papers). The work is most often cited by research in Physiology (484 citations), Hepatology (145 citations) and Endocrinology, Diabetes and Metabolism (278 citations). Toos Sachinwalla has collaborated with scholars based in Australia, New Zealand and United Kingdom. Frequent co-authors include Nathan A. Johnson, Martin W. Thompson, Jacob George, David Walton, K. Viner Smith, Ashley Armstrong, Campbell Thompson, Stephen R. Stannard, Patricia A. Ruell and Michael I. Trenell. Their work appears in journals such as Hepatology, American Journal of Respiratory and Critical Care Medicine and PEDIATRICS.
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.