Praneeth Sudalagunta
Impact in
-
- Multiple Myeloma Research and Treatments
Papers in
-
- Protein Degradation and Inhibitors 5
- Single-cell and spatial transcriptomics 1
- Hematology 11
- Multiple Myeloma Research and Treatments 10
- Co-authors
- Pradeep Raj (4 shared papers)Cornel Sultan (4 shared papers)Rakesh K. Kapania (4 shared papers)Layne T. Watson (4 shared papers)Kenneth H. Shain (15 shared papers)Rafael Renatino Canevarolo (12 shared papers)Ariosto S. Silva (5 shared papers)Mark B. Meads (11 shared papers)
- Journals
- Blood (9 papers)Nature Communications (2 papers)Frontiers in Oncology (1 paper)Journal of Guidance Control and Dynamics (1 paper)British Journal of Haematology (1 paper)
- Partner nations
- United StatesBrazil
In The Last Decade
Praneeth Sudalagunta
17 papers receiving 74 citations
Peers
Comparison fields: 5 of 39
- Hematology 22
- Health Informatics 2
- Modeling and Simulation 6
- Control and Systems Engineering 21
- Aerospace Engineering 16
Countries citing papers authored by Praneeth Sudalagunta
This map shows the geographic impact of Praneeth Sudalagunta'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 Praneeth Sudalagunta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Praneeth Sudalagunta more than expected).
Fields of papers citing papers by Praneeth Sudalagunta
This network shows the impact of papers produced by Praneeth Sudalagunta. 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 Praneeth Sudalagunta. The network helps show where Praneeth Sudalagunta may publish in the future.
Co-authors
The 25 scholars most cited alongside Praneeth Sudalagunta, 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 | 2020 | 16 | |
| 2 | 2018 | 16 | |
| 3 | 2016 | 8 | |
| 4 | 2022 | 7 | |
| 5 | 2016 | 6 | |
| 6 | 2024 | 4 | |
| 7 | 2023 | 3 | |
| 8 | 2019 | 3 | |
| 9 | 2024 | 2 | |
| 10 | 2022 | 2 | |
| 11 | 2020 | 1 | |
| 12 | 2025 | 1 | |
| 13 | 2015 | 1 | |
| 14 | 2018 | 1 | |
| 15 | 2023 | 1 | |
| 16 | 2020 | 1 | |
| 17 | 2020 | 1 | |
| 18 | 2024 | 0 | |
| 19 | 2024 | 0 | |
| 20 | 2024 | 0 |
About Praneeth Sudalagunta
Praneeth Sudalagunta is a scholar working on Molecular Biology, Hematology, Oncology, Computational Mechanics and Cancer Research, having authored 20 papers that have together received 74 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (10 papers), Protein Degradation and Inhibitors (5 papers), Computational Fluid Dynamics and Aerodynamics (3 papers), Cancer Genomics and Diagnostics (3 papers), Cancer Treatment and Pharmacology (2 papers), Mathematical Biology Tumor Growth (2 papers), Single-cell and spatial transcriptomics (1 paper) and Cytokine Signaling Pathways and Interactions (1 paper). The work is most often cited by research in Hematology (22 citations), Health Informatics (2 citations), Modeling and Simulation (6 citations), Control and Systems Engineering (21 citations) and Aerospace Engineering (16 citations). Praneeth Sudalagunta has collaborated with scholars based in United States and Brazil. Frequent co-authors include Pradeep Raj, Cornel Sultan, Rakesh K. Kapania, Layne T. Watson, Kenneth H. Shain, Rafael Renatino Canevarolo, Ariosto S. Silva, Mark B. Meads, Rachid Baz and José Andrés Yunes. Their work appears in journals such as Blood, Nature Communications, Frontiers in Oncology, Journal of Guidance Control and Dynamics and British Journal of Haematology.
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.