Pushpinder Bawa
Impact in
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- Cancer-related molecular mechanisms research
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- Neonatal Respiratory Health Research
- Prostate Cancer Treatment and Research
Papers in
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- RNA Research and Splicing 6
- RNA modifications and cancer 5
- Renal and related cancers 4
- RNA and protein synthesis mechanisms 4
- Genomics and Phylogenetic Studies 3
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- Neonatal Respiratory Health Research 9
- Prostate Cancer Treatment and Research 4
- Co-authors
- Arul M. Chinnaiyan (8 shared papers)Lanbo Xiao (2 shared papers)Subhashini Srinivasan (7 shared papers)Abhijit Parolia (2 shared papers)Darrell N. Kotton (12 shared papers)Ingrid J. Apel (2 shared papers)Xuhong Cao (4 shared papers)Feiya Wang (13 shared papers)
- Journals
- Cell stem cell (3 papers)Neoplasia (2 papers)Cell Reports (2 papers)PLoS ONE (2 papers)RNA Biology (1 paper)
- Partner nations
- United StatesIndiaUnited Kingdom
In The Last Decade
Pushpinder Bawa
33 papers receiving 518 citations
Peers
Comparison fields: 5 of 75
- Cancer Research 80
- Pulmonary and Respiratory Medicine 171
- Molecular Biology 323
- Hematology 31
- Oncology 65
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 | 109 | |
| 2 | 2020 | 87 | |
| 3 | 2024 | 35 | |
| 4 | 2022 | 31 | |
| 5 | 2015 | 28 | |
| 6 | 2023 | 24 | |
| 7 | 2021 | 23 | |
| 8 | 2021 | 22 | |
| 9 | 2023 | 21 | |
| 10 | 2020 | 17 | |
| 11 | 2023 | 14 | |
| 12 | 2021 | 10 | |
| 13 | 2023 | 9 | |
| 14 | 2022 | 9 | |
| 15 | 2021 | 9 | |
| 16 | 2017 | 8 | |
| 17 | 2022 | 8 | |
| 18 | 2019 | 7 | |
| 19 | 2016 | 7 | |
| 20 | 2019 | 6 |
About Pushpinder Bawa
Pushpinder Bawa is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Cancer Research, Surgery and Genetics, having authored 37 papers that have together received 524 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), Prostate Cancer Treatment and Research (4 papers), RNA and protein synthesis mechanisms (4 papers) and Genomics and Phylogenetic Studies (3 papers). The work is most often cited by research in Cancer Research (80 citations), Pulmonary and Respiratory Medicine (171 citations), Molecular Biology (323 citations), Hematology (31 citations) and Oncology (65 citations). Pushpinder Bawa has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Arul M. Chinnaiyan, Lanbo Xiao, Subhashini Srinivasan, Abhijit Parolia, Darrell N. Kotton, Ingrid J. Apel, Xuhong Cao, Feiya Wang, Marcin Cieślik and Sethuramasundaram Pitchiaya. Their work appears in journals such as Cell stem cell, Neoplasia, Cell Reports, PLoS ONE and RNA 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.