Pushpinder Bawa
Impact in
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- Neonatal Respiratory Health Research
- Prostate Cancer Treatment and Research
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- Cancer-related molecular mechanisms research
Papers in
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- RNA Research and Splicing 6
- RNA modifications and cancer 5
- Renal and related cancers 4
- Congenital heart defects research 3
- Extracellular vesicles in disease 3
- RNA and protein synthesis mechanisms 3
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- Neonatal Respiratory Health Research 9
- Co-authors
- Arul M. Chinnaiyan (8 shared papers)Lanbo Xiao (2 shared papers)Abhijit Parolia (2 shared papers)Darrell N. Kotton (12 shared papers)Subhashini Srinivasan (7 shared papers)Carlos Villacorta-Martín (9 shared papers)Feiya Wang (13 shared papers)Marcin Cieślik (1 shared paper)
- Journals
- Cell stem cell (3 papers)Neoplasia (2 papers)PLoS ONE (2 papers)Cell Reports (2 papers)Nature Protocols (1 paper)
- Partner nations
- United StatesIndiaUnited Kingdom
In The Last Decade
Pushpinder Bawa
35 papers receiving 565 citations
Peers
Comparison fields: 5 of 75
- Pulmonary and Respiratory Medicine 172
- Cancer Research 75
- Molecular Biology 322
- Hematology 29
- Oncology 60
Countries citing papers authored by Pushpinder Bawa
This map shows the geographic impact of Pushpinder Bawa'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 Pushpinder Bawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pushpinder Bawa more than expected).
Fields of papers citing papers by Pushpinder Bawa
This network shows the impact of papers produced by Pushpinder Bawa. 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 Pushpinder Bawa. The network helps show where Pushpinder Bawa may publish in the future.
Co-authors
The 25 scholars most cited alongside Pushpinder Bawa, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 112 | |
| 2 | 2020 | 96 | |
| 3 | 2024 | 41 | |
| 4 | 2022 | 32 | |
| 5 | 2015 | 29 | |
| 6 | 2023 | 28 | |
| 7 | 2023 | 25 | |
| 8 | 2021 | 24 | |
| 9 | 2021 | 24 | |
| 10 | 2020 | 19 | |
| 11 | 2023 | 18 | |
| 12 | 2023 | 10 | |
| 13 | 2021 | 10 | |
| 14 | 2021 | 9 | |
| 15 | 2022 | 9 | |
| 16 | 2017 | 8 | |
| 17 | 2022 | 8 | |
| 18 | 2019 | 7 | |
| 19 | 2016 | 7 | |
| 20 | 2024 | 6 |
About Pushpinder Bawa
Pushpinder Bawa is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Cancer Research, Surgery and Immunology, having authored 37 papers that have together received 571 indexed citations. Recurring topics across this work include Neonatal Respiratory Health Research (9 papers), RNA Research and Splicing (6 papers), RNA modifications and cancer (5 papers), Renal and related cancers (4 papers), Cancer-related molecular mechanisms research (4 papers), Congenital heart defects research (3 papers), Extracellular vesicles in disease (3 papers) and RNA and protein synthesis mechanisms (3 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (172 citations), Cancer Research (75 citations), Molecular Biology (322 citations), Hematology (29 citations) and Oncology (60 citations). Pushpinder Bawa has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Arul M. Chinnaiyan, Lanbo Xiao, Abhijit Parolia, Darrell N. Kotton, Subhashini Srinivasan, Carlos Villacorta-Martín, Feiya Wang, Marcin Cieślik, Karan Bedi and Chao Wang. Their work appears in journals such as Cell stem cell, Neoplasia, PLoS ONE, Cell Reports and Nature Protocols.
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.