Ashish Sarraju
- Health Informatics top 0.2%
- Surgery
- Cardiology and Cardiovascular Medicine top 10%
- Artificial Intelligence top 10%
- Endocrinology, Diabetes and Metabolism top 10%
- Co-authors
- Fátima RodríguezLuke J. LaffinErik H. Van ItersonLeslie ChoDennis BruemmerJoshua W. KnowlesSteven E. NissenLatha Palaniappan
- Topics
- Lipoproteins and Cardiovascular Health (17 papers)Health Systems, Economic Evaluations, Quality of Life (11 papers)Diabetes Treatment and Management (10 papers)
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
Ashish Sarraju
55 papers receiving 911 citations
Hit Papers
Peers
Comparison fields: 5 of 120
- Health Informatics 274
- Surgery 241
- Cardiology and Cardiovascular Medicine 194
- Artificial Intelligence 176
- Endocrinology, Diabetes and Metabolism 150
Countries citing papers authored by Ashish Sarraju
This map shows the geographic impact of Ashish Sarraju'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 Ashish Sarraju with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ashish Sarraju more than expected).
Fields of papers citing papers by Ashish Sarraju
This network shows the impact of papers produced by Ashish Sarraju. 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 Ashish Sarraju. The network helps show where Ashish Sarraju may publish in the future.
Co-authorship network of co-authors of Ashish Sarraju
This figure shows the co-authorship network connecting the top 25 collaborators of Ashish Sarraju. A scholar is included among the top collaborators of Ashish Sarraju 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 Ashish Sarraju. Ashish Sarraju is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | Fixed-dose combination of obicetrapib and ezetimibe for LDL cholesterol reduction (TANDEM): a phase 3, randomised, double-blind, placebo-controlled trialbreakdown → | 17 |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 8 | |
| 7 | 1 | |
| 8 | 35 | |
| 9 | 23 | |
| 10 | 1 | |
| 11 | 9 | |
| 12 | 11 | |
| 13 | 14 | |
| 14 | 7 | |
| 15 | 2 | |
| 16 | 5 | |
| 17 | 70 | |
| 18 | 77 | |
| 19 | 2 | |
| 20 | 5 |
About Ashish Sarraju
Ashish Sarraju is a scholar working on Health Informatics, Endocrinology, Diabetes and Metabolism and Family Practice, having authored 57 papers that have together received 932 indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (17 papers), Health Systems, Economic Evaluations, Quality of Life (11 papers) and Diabetes Treatment and Management (10 papers). The work is most often cited by research in Health Informatics (274 citations), Health Information Management (82 citations) and Family Practice (28 citations). Ashish Sarraju has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Fátima Rodríguez, Luke J. Laffin, Erik H. Van Iterson, Leslie Cho, Dennis Bruemmer, Joshua W. Knowles, Steven E. Nissen, Latha Palaniappan, Andrew Ward and Sukyung Chung. Their work appears in journals such as New England Journal of Medicine, The Lancet and JAMA.
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.