Divya Chalikonda
Impact in
- Nephrology top 5%
- Acute Kidney Injury Research
- Chronic Kidney Disease and Diabetes
- Renal function and acid-base balance
-
- Trauma, Hemostasis, Coagulopathy, Resuscitation
Papers in
- Surgery 8
- Esophageal and GI Pathology 5
- Esophageal Cancer Research and Treatment 2
- Co-authors
- Lakhmir S. Chawla (2 shared papers)Danielle Davison (1 shared paper)Michael Bennett (1 shared paper)Paul L. Kimmel (1 shared paper)Ermira Brasha-Mitchell (1 shared paper)John M. Arthur (1 shared paper)Andrew Shaw (1 shared paper)Jay L. Koyner (1 shared paper)
- Journals
- The American Journal of Gastroenterology (4 papers)Journal of Medical Virology (2 papers)Viruses (1 paper)Gastrointestinal Endoscopy (1 paper)Journal of the American Society of Nephrology (1 paper)
- Partner nations
- United States
In The Last Decade
Divya Chalikonda
17 papers receiving 297 citations
Peers
Comparison fields: 5 of 55
- Nephrology 164
- Critical Care and Intensive Care Medicine 69
- Emergency Medicine 46
- Hepatology 30
- Epidemiology 95
Countries citing papers authored by Divya Chalikonda
This map shows the geographic impact of Divya Chalikonda'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 Divya Chalikonda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Divya Chalikonda more than expected).
Fields of papers citing papers by Divya Chalikonda
This network shows the impact of papers produced by Divya Chalikonda. 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 Divya Chalikonda. The network helps show where Divya Chalikonda may publish in the future.
Co-authors
The 25 scholars most cited alongside Divya Chalikonda, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 165 | |
| 2 | 2017 | 49 | |
| 3 | 2022 | 32 | |
| 4 | 2021 | 12 | |
| 5 | 2023 | 11 | |
| 6 | 2016 | 6 | |
| 7 | 2018 | 5 | |
| 8 | 2021 | 4 | |
| 9 | 2019 | 4 | |
| 10 | 2021 | 4 | |
| 11 | 2021 | 4 | |
| 12 | 2019 | 3 | |
| 13 | 2023 | 2 | |
| 14 | 2021 | 1 | |
| 15 | 2018 | 1 | |
| 16 | 2021 | 1 | |
| 17 | 2019 | 1 | |
| 18 | 2025 | 0 | |
| 19 | 2022 | 0 | |
| 20 | 2024 | 0 |
About Divya Chalikonda
Divya Chalikonda is a scholar working on Surgery, Pulmonary and Respiratory Medicine, Epidemiology, Infectious Diseases and Hepatology, having authored 21 papers that have together received 305 indexed citations. Recurring topics across this work include Esophageal and GI Pathology (5 papers), Liver Disease Diagnosis and Treatment (3 papers), Hepatitis B Virus Studies (2 papers), Hepatitis C virus research (2 papers), COVID-19 Clinical Research Studies (2 papers), Microscopic Colitis (2 papers), Esophageal Cancer Research and Treatment (2 papers) and Machine Learning in Healthcare (2 papers). The work is most often cited by research in Nephrology (164 citations), Critical Care and Intensive Care Medicine (69 citations), Emergency Medicine (46 citations), Hepatology (30 citations) and Epidemiology (95 citations). Divya Chalikonda has collaborated with scholars based in United States. Frequent co-authors include Lakhmir S. Chawla, Danielle Davison, Michael Bennett, Paul L. Kimmel, Ermira Brasha-Mitchell, John M. Arthur, Andrew Shaw, Jay L. Koyner, James A. Tumlin and Michael G. Seneff. Their work appears in journals such as The American Journal of Gastroenterology, Journal of Medical Virology, Viruses, Gastrointestinal Endoscopy and Journal of the American Society of 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.