Sai Ram Keithi-Reddy
Impact in
- Hematology top 10%
- Erythropoietin and Anemia Treatment
- Iron Metabolism and Disorders
- Nephrology top 5%
- Dialysis and Renal Disease Management
- Chronic Kidney Disease and Diabetes
- Parathyroid Disorders and Treatments
Papers in
-
- Erythropoietin and Anemia Treatment 6
- Platelet Disorders and Treatments 1
-
- Dialysis and Renal Disease Management 3
- Co-authors
- Ajay Singh (10 shared papers)Tejas Patel (4 shared papers)April W. Armstrong (1 shared paper)Bharati V. Mittal (2 shared papers)Michael S. Goligorsky (1 shared paper)Francesco Addabbo (1 shared paper)Steven Fishbane (1 shared paper)Edgar L. Milford (1 shared paper)
- Journals
- Kidney International (6 papers)Nephron Clinical Practice (1 paper)American Journal of Nephrology (1 paper)Circulation (1 paper)Clinical Nephrology (1 paper)
- Partner nations
- United StatesIndiaUnited Kingdom
In The Last Decade
Sai Ram Keithi-Reddy
13 papers receiving 290 citations
Peers
Comparison fields: 5 of 52
- Hematology 136
- Nephrology 82
- Dermatology 38
- Genetics 36
- Immunology 32
Countries citing papers authored by Sai Ram Keithi-Reddy
This map shows the geographic impact of Sai Ram Keithi-Reddy'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 Sai Ram Keithi-Reddy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sai Ram Keithi-Reddy more than expected).
Fields of papers citing papers by Sai Ram Keithi-Reddy
This network shows the impact of papers produced by Sai Ram Keithi-Reddy. 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 Sai Ram Keithi-Reddy. The network helps show where Sai Ram Keithi-Reddy may publish in the future.
Co-authors
The 25 scholars most cited alongside Sai Ram Keithi-Reddy, 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 | 2011 | 70 | |
| 2 | 2007 | 55 | |
| 3 | 2008 | 46 | |
| 4 | 2008 | 29 | |
| 5 | 2008 | 26 | |
| 6 | 2008 | 22 | |
| 7 | 2007 | 17 | |
| 8 | 2008 | 12 | |
| 9 | 2007 | 10 | |
| 10 | 2008 | 10 | |
| 11 | 2012 | 5 | |
| 12 | 2008 | 2 | |
| 13 | 2006 | 2 | |
| 14 | 2023 | 0 |
About Sai Ram Keithi-Reddy
Sai Ram Keithi-Reddy is a scholar working on Hematology, Nephrology, Cardiology and Cardiovascular Medicine, Epidemiology and Genetics, having authored 14 papers that have together received 306 indexed citations. Recurring topics across this work include Erythropoietin and Anemia Treatment (6 papers), Dialysis and Renal Disease Management (3 papers), Cardiac pacing and defibrillation studies (2 papers), Platelet Disorders and Treatments (1 paper), Biomarkers in Disease Mechanisms (1 paper), Autoimmune Neurological Disorders and Treatments (1 paper), Antifungal resistance and susceptibility (1 paper) and Cardiac Arrhythmias and Treatments (1 paper). The work is most often cited by research in Hematology (136 citations), Nephrology (82 citations), Dermatology (38 citations), Genetics (36 citations) and Immunology (32 citations). Sai Ram Keithi-Reddy has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Ajay Singh, Tejas Patel, April W. Armstrong, Bharati V. Mittal, Michael S. Goligorsky, Francesco Addabbo, Steven Fishbane, Edgar L. Milford, Peter Ivanovich and John J.V. McMurray. Their work appears in journals such as Kidney International, Nephron Clinical Practice, American Journal of Nephrology, Circulation and Clinical Nephrology.
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.