Sameer S. Bajikar
Impact in
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- Cell Image Analysis Techniques
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- Cancer Cells and Metastasis
Papers in
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- Chromatin Remodeling and Cancer 2
- Gene Regulatory Network Analysis 2
- Genetics 6
- Genetics and Neurodevelopmental Disorders 6
- Genomic variations and chromosomal abnormalities 2
- Co-authors
- Kevin A. Janes (5 shared papers)Chun‐Chao Wang (2 shared papers)Kristen A. Atkins (2 shared papers)Nobuo Sasaki (1 shared paper)Hans Clevers (1 shared paper)Elizabeth Pereira (1 shared paper)Huda Y. Zoghbi (6 shared papers)Ying‐Wooi Wan (4 shared papers)
- Journals
- Science Translational Medicine (2 papers)eLife (1 paper)Developmental Cell (1 paper)Annals of Biomedical Engineering (1 paper)Arteriosclerosis Thrombosis and Vascular Biology (1 paper)
- Partner nations
- United StatesGermanyNetherlands
In The Last Decade
Sameer S. Bajikar
11 papers receiving 332 citations
Peers
Comparison fields: 5 of 61
- Biophysics 22
- Oncology 89
- Cancer Research 49
- Molecular Biology 186
- Aging 4
Countries citing papers authored by Sameer S. Bajikar
This map shows the geographic impact of Sameer S. Bajikar'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 Sameer S. Bajikar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sameer S. Bajikar more than expected).
Fields of papers citing papers by Sameer S. Bajikar
This network shows the impact of papers produced by Sameer S. Bajikar. 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 Sameer S. Bajikar. The network helps show where Sameer S. Bajikar may publish in the future.
Co-authors
The 25 scholars most cited alongside Sameer S. Bajikar, 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 | 2018 | 91 | |
| 2 | 2017 | 61 | |
| 3 | 2014 | 60 | |
| 4 | 2021 | 38 | |
| 5 | 2014 | 21 | |
| 6 | 2012 | 15 | |
| 7 | 2009 | 15 | |
| 8 | 2021 | 11 | |
| 9 | 2023 | 9 | |
| 10 | 2024 | 9 | |
| 11 | 2024 | 3 | |
| 12 | 2026 | 0 |
About Sameer S. Bajikar
Sameer S. Bajikar is a scholar working on Molecular Biology, Genetics, Oncology, Cell Biology and Electrical and Electronic Engineering, having authored 12 papers that have together received 333 indexed citations. Recurring topics across this work include Genetics and Neurodevelopmental Disorders (6 papers), Cancer Cells and Metastasis (3 papers), Chromatin Remodeling and Cancer (2 papers), Energy Harvesting in Wireless Networks (2 papers), Gene Regulatory Network Analysis (2 papers), 3D Printing in Biomedical Research (2 papers), Genomic variations and chromosomal abnormalities (2 papers) and Cellular Mechanics and Interactions (2 papers). The work is most often cited by research in Biophysics (22 citations), Oncology (89 citations), Cancer Research (49 citations), Molecular Biology (186 citations) and Aging (4 citations). Sameer S. Bajikar has collaborated with scholars based in United States, Germany and Netherlands. Frequent co-authors include Kevin A. Janes, Chun‐Chao Wang, Kristen A. Atkins, Nobuo Sasaki, Hans Clevers, Elizabeth Pereira, Huda Y. Zoghbi, Ying‐Wooi Wan, Zhandong Liu and Paymaan Jafar‐Nejad. Their work appears in journals such as Science Translational Medicine, eLife, Developmental Cell, Annals of Biomedical Engineering and Arteriosclerosis Thrombosis and Vascular 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.