Gregory J. Tsongalis
- Molecular Biology top 2%
- Cancer Research top 0.5%
- Oncology top 2%
- Pulmonary and Respiratory Medicine top 5%
- Epidemiology top 5%
- Co-authors
- William B. ColemanFrancine B. de AbreuWendy A. WellsLinda S. PescatelloArief A. SuriawinataJason D. PetersonLaura J. TafeJoel A. Lefferts
- Topics
- Cancer Genomics and Diagnostics (50 papers)Lung Cancer Treatments and Mutations (22 papers)Molecular Biology Techniques and Applications (21 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Clinical OncologySHILAP Revista de lepidopterología
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Gregory J. Tsongalis
256 papers receiving 6.0k citations
Peers
Comparison fields: 5 of 161
- Molecular Biology 2.6k
- Cancer Research 1.8k
- Oncology 1.1k
- Pulmonary and Respiratory Medicine 673
- Epidemiology 573
Countries citing papers authored by Gregory J. Tsongalis
This map shows the geographic impact of Gregory J. Tsongalis'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 Gregory J. Tsongalis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gregory J. Tsongalis more than expected).
Fields of papers citing papers by Gregory J. Tsongalis
This network shows the impact of papers produced by Gregory J. Tsongalis. 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 Gregory J. Tsongalis. The network helps show where Gregory J. Tsongalis may publish in the future.
Co-authorship network of co-authors of Gregory J. Tsongalis
This figure shows the co-authorship network connecting the top 25 collaborators of Gregory J. Tsongalis. A scholar is included among the top collaborators of Gregory J. Tsongalis based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gregory J. Tsongalis. Gregory J. Tsongalis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 9 | |
| 5 | 4 | |
| 6 | 2 | |
| 7 | 3 | |
| 8 | 8 | |
| 9 | Evaluation of the SARS-CoV-2 Chromacode EUA Assay | 1 |
| 10 | 3 | |
| 11 | 0 | |
| 12 | 6 | |
| 13 | Longitudinal assessment of cognitive changes associated with adjuvant treatment for breast cancer: the impact of APOE and smoking | 2 |
| 14 | 11 | |
| 15 | 20 | |
| 16 | Warfarin genotyping using three different platforms. | 11 |
| 17 | 10 | |
| 18 | 56 | |
| 19 | 5 | |
| 20 | 1 |
About Gregory J. Tsongalis
Gregory J. Tsongalis is a scholar working on Cancer Research, Microbiology and Genetics, having authored 266 papers that have together received 6.1k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (50 papers), Lung Cancer Treatments and Mutations (22 papers) and Molecular Biology Techniques and Applications (21 papers). The work is most often cited by research in Cancer Research (1.8k citations), Oncology (1.1k citations) and Molecular Biology (2.6k citations). Gregory J. Tsongalis has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include William B. Coleman, Francine B. de Abreu, Wendy A. Wells, Linda S. Pescatello, Arief A. Suriawinata, Jason D. Peterson, Laura J. Tafe, Joel A. Lefferts, Alan H.B. Wu and Carl M. Maresh. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.
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.