Saurabh Dahiya
- Oncology top 5%
- CAR-T cell therapy research 64
- Pathology and Forensic Medicine top 10%
- Lymphoma Diagnosis and Treatment 22
- Genetics top 10%
- Glioma Diagnosis and Treatment 8
- Chronic Lymphocytic Leukemia Research 7
- Virus-based gene therapy research 6
- Hematology top 10%
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- Cancer Genomics and Diagnostics 7
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- Integrated Circuits and Semiconductor Failure Analysis 8
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- Biosimilars and Bioanalytical Methods 7
- Co-authors
- Aaron P. RapoportManmeet S. AhluwaliaFrederick L. LockeDavid B. MiklosMichael D. JainHarneet K. WaliaAli BukhariAnkit Kansagra
- Partner nations
- United StatesGermanyFrance
In The Last Decade
Saurabh Dahiya
83 papers receiving 915 citations
Hit Papers
Peers
Comparison fields: 5 of 69
- Oncology 629
- Pathology and Forensic Medicine 203
- Genetics 116
- Hematology 86
- Cancer Research 90
Countries citing papers authored by Saurabh Dahiya
This map shows the geographic impact of Saurabh Dahiya'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 Saurabh Dahiya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Saurabh Dahiya more than expected).
Fields of papers citing papers by Saurabh Dahiya
This network shows the impact of papers produced by Saurabh Dahiya. 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 Saurabh Dahiya. The network helps show where Saurabh Dahiya may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Saurabh Dahiya, 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 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 1 | |
| 5 | 2025 | 0 | |
| 6 | 2025 | 0 | |
| 7 | 2024 | 2 | |
| 8 | 2024 | 0 | |
| 9 | 2024 | 0 | |
| 10 | 2024 | 1 | |
| 11 | 2024 | 2 | |
| 12 | 2023 | 7 | |
| 13 | 2023 | 16 | |
| 14 | 2021 | 6 | |
| 15 | 2021 | 8 | |
| 16 | 2021 | 87 | |
| 17 | 2021 | 2 | |
| 18 | 2020 | 1 | |
| 19 | 2020 | 71 | |
| 20 | Family Pets as a Source of Microspoum canis Infection | 1990 | 1 |
About Saurabh Dahiya
Saurabh Dahiya is a scholar working on Oncology, Genetics and Pathology and Forensic Medicine, having authored 105 papers that have together received 923 indexed citations. Recurring topics across this work include CAR-T cell therapy research (64 papers), Lymphoma Diagnosis and Treatment (22 papers), Glioma Diagnosis and Treatment (8 papers), Integrated Circuits and Semiconductor Failure Analysis (8 papers), Chronic Lymphocytic Leukemia Research (7 papers), Cancer Genomics and Diagnostics (7 papers), Biosimilars and Bioanalytical Methods (7 papers) and Virus-based gene therapy research (6 papers). The work is most often cited by research in Oncology (629 citations), Pathology and Forensic Medicine (203 citations) and Genetics (116 citations). Saurabh Dahiya has collaborated with scholars based in United States, Germany and France. Frequent co-authors include Aaron P. Rapoport, Manmeet S. Ahluwalia, Frederick L. Locke, David B. Miklos, Michael D. Jain, Harneet K. Walia, Ali Bukhari, Ankit Kansagra, Jean A. Yared and Djordje Atanackovic. Their work appears in journals such as Blood, Journal of Clinical Oncology, Blood Advances, Biology of Blood and Marrow Transplantation and Transplantation and Cellular Therapy.
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.