Pushkar Dakle
Impact in
-
- Multiple Myeloma Research and Treatments
-
- Protein Degradation and Inhibitors
- Ubiquitin and proteasome pathways
- RNA modifications and cancer
- RNA Research and Splicing
- Genomics and Chromatin Dynamics
- Chromatin Remodeling and Cancer
- Epigenetics and DNA Methylation
Papers in
-
- Protein Degradation and Inhibitors 5
- RNA Research and Splicing 3
- Chromatin Remodeling and Cancer 3
-
- interferon and immune responses 4
- Co-authors
- H. Phillip Koeffler (15 shared papers)Pavithra Shyamsunder (10 shared papers)Vikas Madan (12 shared papers)Anand Mayakonda (7 shared papers)Deepika Kanojia (6 shared papers)Lin Han (7 shared papers)Liang Xu (4 shared papers)Wee Joo Chng (5 shared papers)
- Journals
- Haematologica (3 papers)Blood (3 papers)Scientific Reports (2 papers)Nature Communications (2 papers)Pharmacological Research (1 paper)
- Partner nations
- United StatesSingaporeIndia
In The Last Decade
Pushkar Dakle
19 papers receiving 289 citations
Peers
Comparison fields: 5 of 53
- Hematology 48
- Molecular Biology 240
- Cancer Research 48
- Immunology 41
- Pathology and Forensic Medicine 26
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
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 47 | |
| 2 | 2019 | 43 | |
| 3 | 2019 | 32 | |
| 4 | 2019 | 31 | |
| 5 | 2022 | 23 | |
| 6 | 2021 | 16 | |
| 7 | 2023 | 12 | |
| 8 | 2020 | 12 | |
| 9 | 2021 | 12 | |
| 10 | 2023 | 12 | |
| 11 | 2015 | 12 | |
| 12 | 2019 | 11 | |
| 13 | 2022 | 9 | |
| 14 | 2018 | 6 | |
| 15 | 2019 | 5 | |
| 16 | 2022 | 4 | |
| 17 | 2018 | 3 | |
| 18 | 2023 | 2 | |
| 19 | 2020 | 1 | |
| 20 | 2025 | 0 |
About Pushkar Dakle
Pushkar Dakle is a scholar working on Molecular Biology, Immunology, Pulmonary and Respiratory Medicine, Hematology and Genetics, having authored 20 papers that have together received 293 indexed citations. Recurring topics across this work include Protein Degradation and Inhibitors (5 papers), Sarcoma Diagnosis and Treatment (4 papers), interferon and immune responses (4 papers), RNA Research and Splicing (3 papers), Chromatin Remodeling and Cancer (3 papers), Multiple Myeloma Research and Treatments (3 papers), CAR-T cell therapy research (2 papers) and Cancer-related molecular mechanisms research (2 papers). The work is most often cited by research in Hematology (48 citations), Molecular Biology (240 citations), Cancer Research (48 citations), Immunology (41 citations) and Pathology and Forensic Medicine (26 citations). Pushkar Dakle has collaborated with scholars based in United States, Singapore and India. Frequent co-authors include H. Phillip Koeffler, Pavithra Shyamsunder, Vikas Madan, Anand Mayakonda, Deepika Kanojia, Lin Han, Liang Xu, Wee Joo Chng, Ienglam Lei and Zhong Wang. Their work appears in journals such as Haematologica, Blood, Scientific Reports, Nature Communications and Pharmacological Research.
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.