Janani Saikumar
Impact in
- Nephrology top 5%
- Acute Kidney Injury Research
- Chronic Kidney Disease and Diabetes
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
-
- RNA Interference and Gene Delivery 2
- Extracellular vesicles in disease 2
- Mitochondrial Function and Pathology 2
- Circular RNAs in diseases 1
-
- MicroRNA in disease regulation 4
- Co-authors
- Vishal S. Vaidya (7 shared papers)Vanesa Bijol (5 shared papers)Sushrut S. Waikar (2 shared papers)Nancy M. Bonini (4 shared papers)Krithika Ramachandran (2 shared papers)Dana Hoffmann (2 shared papers)China N. Byrns (3 shared papers)Qin Zhang (1 shared paper)
- Journals
- Toxicological Sciences (2 papers)Clinical Chemistry (2 papers)Expert Opinion on Drug Metabolism & Toxicology (1 paper)American Journal of Physiology-Renal Physiology (1 paper)Trends in Neurosciences (1 paper)
- Partner nations
- United StatesFranceMexico
In The Last Decade
Janani Saikumar
12 papers receiving 542 citations
Peers
Comparison fields: 5 of 87
- Nephrology 119
- Cancer Research 238
- Aging 19
- Molecular Biology 290
- Transplantation 10
Countries citing papers authored by Janani Saikumar
This map shows the geographic impact of Janani Saikumar'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 Janani Saikumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Janani Saikumar more than expected).
Fields of papers citing papers by Janani Saikumar
This network shows the impact of papers produced by Janani Saikumar. 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 Janani Saikumar. The network helps show where Janani Saikumar may publish in the future.
Co-authors
The 25 scholars most cited alongside Janani Saikumar, 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 | 2012 | 160 | |
| 2 | 2013 | 102 | |
| 3 | 2013 | 68 | |
| 4 | 2014 | 37 | |
| 5 | 2020 | 36 | |
| 6 | 2014 | 36 | |
| 7 | 2014 | 33 | |
| 8 | 2021 | 23 | |
| 9 | 2012 | 18 | |
| 10 | 2020 | 16 | |
| 11 | 2021 | 14 | |
| 12 | 2024 | 3 |
About Janani Saikumar
Janani Saikumar is a scholar working on Molecular Biology, Cancer Research, Nephrology, Neurology and Epidemiology, having authored 12 papers that have together received 546 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (4 papers), Traumatic Brain Injury and Neurovascular Disturbances (2 papers), RNA Interference and Gene Delivery (2 papers), Extracellular vesicles in disease (2 papers), Mitochondrial Function and Pathology (2 papers), Traumatic Brain Injury Research (2 papers), Circular RNAs in diseases (1 paper) and Chronic Kidney Disease and Diabetes (1 paper). The work is most often cited by research in Nephrology (119 citations), Cancer Research (238 citations), Aging (19 citations), Molecular Biology (290 citations) and Transplantation (10 citations). Janani Saikumar has collaborated with scholars based in United States, France and Mexico. Frequent co-authors include Vishal S. Vaidya, Vanesa Bijol, Sushrut S. Waikar, Nancy M. Bonini, Krithika Ramachandran, Dana Hoffmann, China N. Byrns, Qin Zhang, Victoria Ramírez and Peter J. Park. Their work appears in journals such as Toxicological Sciences, Clinical Chemistry, Expert Opinion on Drug Metabolism & Toxicology, American Journal of Physiology-Renal Physiology and Trends in Neurosciences.
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.