Sai Batchu
Impact in
- Health Informatics top 10%
- Artificial Intelligence in Healthcare and Education
-
- Glioma Diagnosis and Treatment
Papers in
- Immunology 11
- Immune cells in cancer 8
- Immunotherapy and Immune Responses 2
- Immune Response and Inflammation 2
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- Single-cell and spatial transcriptomics 2
- Co-authors
- Michael J. Diaz (16 shared papers)Brandon Lucke‐Wold (12 shared papers)Abraham Hakim (3 shared papers)Shouguo Gao (4 shared papers)Muhammad Umair (1 shared paper)Zhijie Wu (4 shared papers)Lemlem Alemu (2 shared papers)Daniel Griffith (1 shared paper)
- Journals
- Oncology (2 papers)Gene (2 papers)Blood (1 paper)Journal of Leukocyte Biology (1 paper)Brain Tumor Pathology (1 paper)
- Partner nations
- United StatesIndiaNetherlands
In The Last Decade
Sai Batchu
46 papers receiving 359 citations
Peers
Comparison fields: 5 of 91
- Health Informatics 19
- Genetics 37
- Immunology 72
- Biological Psychiatry 6
- Neurology 19
Countries citing papers authored by Sai Batchu
This map shows the geographic impact of Sai Batchu'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 Batchu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sai Batchu more than expected).
Fields of papers citing papers by Sai Batchu
This network shows the impact of papers produced by Sai Batchu. 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 Batchu. The network helps show where Sai Batchu may publish in the future.
Co-authors
The 25 scholars most cited alongside Sai Batchu, 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 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 49 | |
| 2 | 2018 | 35 | |
| 3 | 2021 | 31 | |
| 4 | 2023 | 23 | |
| 5 | 2021 | 23 | |
| 6 | 2021 | 20 | |
| 7 | 2022 | 19 | |
| 8 | 2022 | 18 | |
| 9 | 2023 | 14 | |
| 10 | 2020 | 9 | |
| 11 | 2022 | 9 | |
| 12 | 2020 | 9 | |
| 13 | 2022 | 7 | |
| 14 | 2022 | 7 | |
| 15 | 2023 | 7 | |
| 16 | 2020 | 6 | |
| 17 | 2022 | 6 | |
| 18 | 2023 | 6 | |
| 19 | 2022 | 6 | |
| 20 | 2024 | 6 |
About Sai Batchu
Sai Batchu is a scholar working on Immunology, Molecular Biology, Genetics, Cancer Research and Surgery, having authored 49 papers that have together received 364 indexed citations. Recurring topics across this work include Immune cells in cancer (8 papers), Glioma Diagnosis and Treatment (5 papers), Pituitary Gland Disorders and Treatments (4 papers), Blockchain Technology Applications and Security (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), Single-cell and spatial transcriptomics (2 papers), Immunotherapy and Immune Responses (2 papers) and Immune Response and Inflammation (2 papers). The work is most often cited by research in Health Informatics (19 citations), Genetics (37 citations), Immunology (72 citations), Biological Psychiatry (6 citations) and Neurology (19 citations). Sai Batchu has collaborated with scholars based in United States, India and Netherlands. Frequent co-authors include Michael J. Diaz, Brandon Lucke‐Wold, Abraham Hakim, Shouguo Gao, Muhammad Umair, Zhijie Wu, Lemlem Alemu, Daniel Griffith, Marcos V. V. de Oliveira and Xing Jin. Their work appears in journals such as Oncology, Gene, Blood, Journal of Leukocyte Biology and Brain Tumor Pathology.
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.