Mohammad G. Saklayen
- Endocrinology, Diabetes and Metabolism top 1%
- Physiology top 2%
- Epidemiology top 5%
- Cardiology and Cardiovascular Medicine top 5%
- Molecular Biology
- Co-authors
- Ronald J. MarkertAnil K. MandalVictor E. PollakGabriel MichaelTimothy LydenAmadeo J. PesceGemma CurrieCharles J. Ferro
- Topics
- Blood Pressure and Hypertension Studies (7 papers)Hormonal Regulation and Hypertension (6 papers)Renin-Angiotensin System Studies (3 papers)
- Partner nations
- United StatesJapanNetherlands
In The Last Decade
Mohammad G. Saklayen
32 papers receiving 3.4k citations
Hit Papers
Peers
Comparison fields: 5 of 136
- Endocrinology, Diabetes and Metabolism 1.1k
- Physiology 825
- Epidemiology 780
- Cardiology and Cardiovascular Medicine 666
- Molecular Biology 618
Countries citing papers authored by Mohammad G. Saklayen
This map shows the geographic impact of Mohammad G. Saklayen'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 Mohammad G. Saklayen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammad G. Saklayen more than expected).
Fields of papers citing papers by Mohammad G. Saklayen
This network shows the impact of papers produced by Mohammad G. Saklayen. 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 Mohammad G. Saklayen. The network helps show where Mohammad G. Saklayen may publish in the future.
Co-authorship network of co-authors of Mohammad G. Saklayen
This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad G. Saklayen. A scholar is included among the top collaborators of Mohammad G. Saklayen 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 Mohammad G. Saklayen. Mohammad G. Saklayen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | The Global Epidemic of the Metabolic Syndromebreakdown → | 2611 |
| 2 | 52 | |
| 3 | 40 | |
| 4 | 136 | |
| 5 | 61 | |
| 6 | 30 | |
| 7 | 2 | |
| 8 | 34 | |
| 9 | 48 | |
| 10 | 12 | |
| 11 | 42 | |
| 12 | 10 | |
| 13 | 11 | |
| 14 | 22 | |
| 15 | 5 | |
| 16 | 6 | |
| 17 | 114 | |
| 18 | 35 | |
| 19 | 2 | |
| 20 | 3 |
About Mohammad G. Saklayen
Mohammad G. Saklayen is a scholar working on Cardiology and Cardiovascular Medicine, Nephrology and Endocrinology, Diabetes and Metabolism, having authored 32 papers that have together received 3.5k indexed citations. Recurring topics across this work include Blood Pressure and Hypertension Studies (7 papers), Hormonal Regulation and Hypertension (6 papers) and Renin-Angiotensin System Studies (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.1k citations), Physiology (825 citations) and Cardiology and Cardiovascular Medicine (666 citations). Mohammad G. Saklayen has collaborated with scholars based in United States, Japan and Netherlands. Frequent co-authors include Ronald J. Markert, Anil K. Mandal, Victor E. Pollak, Gabriel Michael, Timothy Lyden, Amadeo J. Pesce, Gemma Currie, Charles J. Ferro, Toshiro Fujita and Satyendra C. Gupta. Their work appears in journals such as Circulation, Kidney International and The American Journal of Medicine.
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.