Renu Sarao
- Molecular Biology top 5%
- Infectious Diseases top 0.5%
- Cardiology and Cardiovascular Medicine top 1%
- Oncology top 5%
- Endocrinology, Diabetes and Metabolism top 2%
- Co-authors
- Josef PenningerMichael A. CrackowerTeiji WadaI. KozieradzkiChi-chung HuiCarlos M. FerrarioYi HuanChengyu Jiang
- Topics
- Renin-Angiotensin System Studies (5 papers)Pregnancy and preeclampsia studies (3 papers)Receptor Mechanisms and Signaling (3 papers)
- Partner nations
- CanadaAustriaUnited States
In The Last Decade
Renu Sarao
19 papers receiving 5.7k citations
Hit Papers
Peers
Comparison fields: 5 of 121
- Molecular Biology 2.0k
- Infectious Diseases 1.8k
- Cardiology and Cardiovascular Medicine 1.4k
- Oncology 872
- Endocrinology, Diabetes and Metabolism 774
Countries citing papers authored by Renu Sarao
This map shows the geographic impact of Renu Sarao'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 Renu Sarao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Renu Sarao more than expected).
Fields of papers citing papers by Renu Sarao
This network shows the impact of papers produced by Renu Sarao. 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 Renu Sarao. The network helps show where Renu Sarao may publish in the future.
Co-authorship network of co-authors of Renu Sarao
This figure shows the co-authorship network connecting the top 25 collaborators of Renu Sarao. A scholar is included among the top collaborators of Renu Sarao 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 Renu Sarao. Renu Sarao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 46 | |
| 2 | 22 | |
| 3 | 331 | |
| 4 | 113 | |
| 5 | 0 | |
| 6 | 189 | |
| 7 | Regulation of cancer cell migration and bone metastasis by RANKLbreakdown → | 601 |
| 8 | 205 | |
| 9 | Angiotensin-converting enzyme 2 protects from severe acute lung failurebreakdown → | 1830 |
| 10 | 276 | |
| 11 | 1 | |
| 12 | 102 | |
| 13 | 137 | |
| 14 | 173 | |
| 15 | Angiotensin-converting enzyme 2 is an essential regulator of heart functionbreakdown → | 1340 |
| 16 | 75 | |
| 17 | 42 | |
| 18 | 182 | |
| 19 | 102 | |
| 20 | 3 |
About Renu Sarao
Renu Sarao is a scholar working on Obstetrics and Gynecology, Cardiology and Cardiovascular Medicine and Molecular Biology, having authored 20 papers that have together received 5.8k indexed citations. Recurring topics across this work include Renin-Angiotensin System Studies (5 papers), Pregnancy and preeclampsia studies (3 papers) and Receptor Mechanisms and Signaling (3 papers). The work is most often cited by research in Infectious Diseases (1.8k citations), Cardiology and Cardiovascular Medicine (1.4k citations) and Obstetrics and Gynecology (365 citations). Renu Sarao has collaborated with scholars based in Canada, Austria and United States. Frequent co-authors include Josef Penninger, Michael A. Crackower, Teiji Wada, I. Kozieradzki, Chi-chung Hui, Carlos M. Ferrario, Yi Huan, Chengyu Jiang, Keiji Kuba and Yumiko Imai. Their work appears in journals such as Nature, Science and Cell.
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.