Sajani Swamy
- Cancer Research top 5%
- Molecular Biology top 10%
- RNA modifications and cancer 2
- RNA and protein synthesis mechanisms 2
- Pathology and Forensic Medicine top 10%
- Oncology top 10%
- Genetics top 10%
- Genomics and Rare Diseases 1
-
- Photoreceptor and optogenetics research 1
- Neuroscience and Neuropharmacology Research 1
-
- Bacteriophages and microbial interactions 1
-
- Advanced Proteomics Techniques and Applications 1
-
- Aging, Elder Care, and Social Issues 1
- Co-authors
- Christopher T. SaundersWendy S.W. WongLisa MurrayR. Keira CheethamJennifer BecqJyoti S. ChoudharyEman GhanemSabine Mohr
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Bioinformatics (1 paper)Molecular & Cellular Proteomics (1 paper)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Sajani Swamy
6 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 87
- Cancer Research 537
- Molecular Biology 743
- Pathology and Forensic Medicine 192
- Oncology 262
- Genetics 228
Countries citing papers authored by Sajani Swamy
This map shows the geographic impact of Sajani Swamy'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 Sajani Swamy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sajani Swamy more than expected).
Fields of papers citing papers by Sajani Swamy
This network shows the impact of papers produced by Sajani Swamy. 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 Sajani Swamy. The network helps show where Sajani Swamy may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sajani Swamy, 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 | 2013 | 152 | |
| 2 | 2013 | 50 | |
| 3 | Strelka: accurate somatic small-variant calling from sequenced tumor–normal sample pairsbreakdown → | 2012 | 868 |
| 4 | 2009 | 103 | |
| 5 | 2008 | 52 | |
| 6 | A Hierarchical HMM Implementation for Vertebrate Gene Splice Site Prediction | 2000 | 6 |
About Sajani Swamy
Sajani Swamy is a scholar working on Philosophy, Cancer Research and Spectroscopy, having authored 6 papers that have together received 1.2k indexed citations. Recurring topics across this work include RNA modifications and cancer (2 papers), RNA and protein synthesis mechanisms (2 papers), Genomics and Rare Diseases (1 paper), Photoreceptor and optogenetics research (1 paper), Bacteriophages and microbial interactions (1 paper), Advanced Proteomics Techniques and Applications (1 paper), Neuroscience and Neuropharmacology Research (1 paper) and Aging, Elder Care, and Social Issues (1 paper). The work is most often cited by research in Cancer Research (537 citations), Molecular Biology (743 citations) and Pathology and Forensic Medicine (192 citations). Sajani Swamy has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Christopher T. Saunders, Wendy S.W. Wong, Lisa Murray, R. Keira Cheetham, Jennifer Becq, Jyoti S. Choudhary, Eman Ghanem, Sabine Mohr, Scott Hunicke‐Smith and Yidan Qin. Their work appears in journals such as Proceedings of the National Academy of Sciences, Bioinformatics and Molecular & Cellular Proteomics.
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.