Pushkar Dakle
Impact in
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- Cancer-related molecular mechanisms research
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- RNA modifications and cancer
- Epigenetics and DNA Methylation
- Protein Degradation and Inhibitors
- RNA Research and Splicing
- Genomics and Chromatin Dynamics
- Cancer-related gene regulation
- Chromatin Remodeling and Cancer
Papers in
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- Cancer-related molecular mechanisms research 4
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- interferon and immune responses 3
- Co-authors
- H. Phillip Koeffler (13 shared papers)Vikas Madan (10 shared papers)Anand Mayakonda (6 shared papers)Pavithra Shyamsunder (7 shared papers)Deepika Kanojia (6 shared papers)Lin Han (5 shared papers)Ienglam Lei (1 shared paper)Zhong Wang (1 shared paper)
- Journals
- Haematologica (3 papers)Cancer Research (2 papers)Scientific Reports (2 papers)Nature Communications (2 papers)Immunology and Cell Biology (1 paper)
- Partner nations
- United StatesSingaporeChina
In The Last Decade
Pushkar Dakle
22 papers receiving 541 citations
Peers
Comparison fields: 5 of 63
- Cancer Research 89
- Molecular Biology 389
- Hematology 44
- Immunology 76
- Oncology 60
Countries citing papers authored by Pushkar Dakle
This map shows the geographic impact of Pushkar Dakle'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 Pushkar Dakle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pushkar Dakle more than expected).
Fields of papers citing papers by Pushkar Dakle
This network shows the impact of papers produced by Pushkar Dakle. 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 Pushkar Dakle. The network helps show where Pushkar Dakle may publish in the future.
Co-authors
The 25 scholars most cited alongside Pushkar Dakle, 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 | 2020 | 138 | |
| 2 | 2019 | 59 | |
| 3 | 2019 | 46 | |
| 4 | 2019 | 45 | |
| 5 | 2019 | 40 | |
| 6 | 2021 | 28 | |
| 7 | 2022 | 24 | |
| 8 | 2021 | 18 | |
| 9 | 2015 | 16 | |
| 10 | 2018 | 15 | |
| 11 | 2023 | 15 | |
| 12 | 2019 | 14 | |
| 13 | 2021 | 14 | |
| 14 | 2020 | 13 | |
| 15 | 2023 | 13 | |
| 16 | 2023 | 12 | |
| 17 | 2022 | 11 | |
| 18 | 2022 | 8 | |
| 19 | 2018 | 7 | |
| 20 | 2019 | 6 |
About Pushkar Dakle
Pushkar Dakle is a scholar working on Cancer Research, Immunology, Hematology, Molecular Biology and Genetics, having authored 22 papers that have together received 546 indexed citations. Recurring topics across this work include Sarcoma Diagnosis and Treatment (4 papers), Cancer-related molecular mechanisms research (4 papers), Protein Degradation and Inhibitors (3 papers), interferon and immune responses (3 papers), RNA Research and Splicing (3 papers), CAR-T cell therapy research (2 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers) and Multiple Myeloma Research and Treatments (2 papers). The work is most often cited by research in Cancer Research (89 citations), Molecular Biology (389 citations), Hematology (44 citations), Immunology (76 citations) and Oncology (60 citations). Pushkar Dakle has collaborated with scholars based in United States, Singapore and China. Frequent co-authors include H. Phillip Koeffler, Vikas Madan, Anand Mayakonda, Pavithra Shyamsunder, Deepika Kanojia, Lin Han, Ienglam Lei, Zhong Wang, Janani Sundaresan and Xinyu Ke. Their work appears in journals such as Haematologica, Cancer Research, Scientific Reports, Nature Communications and Immunology and Cell Biology.
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.