Deepti Reddi
Impact in
-
- Acute Myeloid Leukemia Research
- Multiple Myeloma Research and Treatments
-
- Lymphoma Diagnosis and Treatment
Papers in
- Co-authors
- Endi Wang (5 shared papers)Diana M. Cardona (2 shared papers)Paul E. Swanson (3 shared papers)James L. Burchette (2 shared papers)Qin Huang (2 shared papers)Abner Louissaint (2 shared papers)Camtu D. Truong (1 shared paper)David S. Snyder (1 shared paper)
- Journals
- American Journal of Clinical Pathology (3 papers)Human Pathology (2 papers)Archives of Pathology & Laboratory Medicine (2 papers)American Journal of Dermatopathology (2 papers)Clinical Cancer Research (1 paper)
- Partner nations
- United StatesAustriaUnited Kingdom
In The Last Decade
Deepti Reddi
20 papers receiving 159 citations
Peers
Comparison fields: 5 of 42
- Hematology 34
- Pathology and Forensic Medicine 37
- Oncology 53
- Cancer Research 23
- Gastroenterology 8
Countries citing papers authored by Deepti Reddi
This map shows the geographic impact of Deepti Reddi'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 Deepti Reddi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deepti Reddi more than expected).
Fields of papers citing papers by Deepti Reddi
This network shows the impact of papers produced by Deepti Reddi. 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 Deepti Reddi. The network helps show where Deepti Reddi may publish in the future.
Co-authors
The 25 scholars most cited alongside Deepti Reddi, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 19 | |
| 2 | 2013 | 18 | |
| 3 | 2020 | 18 | |
| 4 | 2012 | 17 | |
| 5 | 2022 | 11 | |
| 6 | 2014 | 10 | |
| 7 | 2022 | 10 | |
| 8 | 2013 | 10 | |
| 9 | 2023 | 8 | |
| 10 | 2023 | 7 | |
| 11 | 2017 | 7 | |
| 12 | 2023 | 5 | |
| 13 | 2014 | 5 | |
| 14 | 2021 | 3 | |
| 15 | 2013 | 3 | |
| 16 | 2021 | 2 | |
| 17 | 2021 | 2 | |
| 18 | 2022 | 2 | |
| 19 | 2018 | 2 | |
| 20 | 2024 | 1 |
About Deepti Reddi
Deepti Reddi is a scholar working on Surgery, Oncology, Pathology and Forensic Medicine, Epidemiology and Hematology, having authored 23 papers that have together received 161 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (3 papers), Pancreatic and Hepatic Oncology Research (3 papers), Esophageal Cancer Research and Treatment (3 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers), Acute Myeloid Leukemia Research (2 papers), Acute Lymphoblastic Leukemia research (2 papers), AI in cancer detection (2 papers) and Gastrointestinal disorders and treatments (2 papers). The work is most often cited by research in Hematology (34 citations), Pathology and Forensic Medicine (37 citations), Oncology (53 citations), Cancer Research (23 citations) and Gastroenterology (8 citations). Deepti Reddi has collaborated with scholars based in United States, Austria and United Kingdom. Frequent co-authors include Endi Wang, Diana M. Cardona, Paul E. Swanson, James L. Burchette, Qin Huang, Abner Louissaint, Camtu D. Truong, David S. Snyder, Yong-Jun Liu and Niklas Krumm. Their work appears in journals such as American Journal of Clinical Pathology, Human Pathology, Archives of Pathology & Laboratory Medicine, American Journal of Dermatopathology and Clinical Cancer Research.
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.