Deepak Vangala
Impact in
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- Acute Myeloid Leukemia Research
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- Genetic factors in colorectal cancer
- Lymphoma Diagnosis and Treatment
Papers in
- Oncology 11
- CAR-T cell therapy research 4
- Colorectal Cancer Treatments and Studies 3
- Colorectal Cancer Screening and Detection 3
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- Genetic factors in colorectal cancer 5
- Lymphoma Diagnosis and Treatment 4
- Co-authors
- Roland Schroers (14 shared papers)Wanda M. Gerding (5 shared papers)Huu Phuc Nguyen (5 shared papers)Thomas Mika (11 shared papers)Wolff Schmiegel (4 shared papers)Pascal Hammel (1 shared paper)Ulrich Güller (1 shared paper)Fátima Carneiro (1 shared paper)
In The Last Decade
Deepak Vangala
21 papers receiving 211 citations
Peers
Comparison fields: 5 of 39
- Hematology 66
- Pathology and Forensic Medicine 90
- Cancer Research 55
- Genetics 34
- Oncology 62
Countries citing papers authored by Deepak Vangala
This map shows the geographic impact of Deepak Vangala'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 Deepak Vangala with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deepak Vangala more than expected).
Fields of papers citing papers by Deepak Vangala
This network shows the impact of papers produced by Deepak Vangala. 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 Deepak Vangala. The network helps show where Deepak Vangala may publish in the future.
Co-authors
The 25 scholars most cited alongside Deepak Vangala, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 53 | |
| 2 | 2022 | 42 | |
| 3 | 2023 | 24 | |
| 4 | 2023 | 16 | |
| 5 | 2017 | 13 | |
| 6 | 2023 | 10 | |
| 7 | 2021 | 8 | |
| 8 | 2022 | 8 | |
| 9 | 2019 | 6 | |
| 10 | 2021 | 6 | |
| 11 | 2023 | 4 | |
| 12 | 2018 | 3 | |
| 13 | 2022 | 3 | |
| 14 | 2024 | 3 | |
| 15 | 2023 | 2 | |
| 16 | 2021 | 2 | |
| 17 | 2018 | 2 | |
| 18 | 2022 | 2 | |
| 19 | 2023 | 2 | |
| 20 | 2015 | 2 |
About Deepak Vangala
Deepak Vangala is a scholar working on Oncology, Pathology and Forensic Medicine, Molecular Biology, Cancer Research and Hematology, having authored 22 papers that have together received 212 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (6 papers), Genetic factors in colorectal cancer (5 papers), Acute Myeloid Leukemia Research (4 papers), CAR-T cell therapy research (4 papers), Lymphoma Diagnosis and Treatment (4 papers), CNS Lymphoma Diagnosis and Treatment (4 papers), Colorectal Cancer Treatments and Studies (3 papers) and Colorectal Cancer Screening and Detection (3 papers). The work is most often cited by research in Hematology (66 citations), Pathology and Forensic Medicine (90 citations), Cancer Research (55 citations), Genetics (34 citations) and Oncology (62 citations). Deepak Vangala has collaborated with scholars based in Germany, Poland and Portugal. Frequent co-authors include Roland Schroers, Wanda M. Gerding, Huu Phuc Nguyen, Thomas Mika, Wolff Schmiegel, Pascal Hammel, Ulrich Güller, Fátima Carneiro, Judith Balmañà and Tamara Matysiak‐Budnik. Their work appears in journals such as Cancers, European Journal of Cancer, Haematologica, HemaSphere and Frontiers in Oncology.
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.