Jennifer M. Suga
- Oncology
- Pulmonary and Respiratory Medicine
- Molecular Biology
- Cancer Research
- Economics and Econometrics
- Co-authors
- Laurel A. HabelJoseph M. UngerJames L. WadePeter J. KourlasSreenivasa R ChandanaDawn L. HershmanScott D. RamseyPrimo N. Lara
- Topics
- Lung Cancer Treatments and Mutations (12 papers)Cancer Genomics and Diagnostics (9 papers)Economic and Financial Impacts of Cancer (7 papers)
- Journals
- Journal of Clinical OncologySHILAP Revista de lepidopterologíaJNCI Journal of the National Cancer Institute
- Partner nations
- United StatesSpainCanada
In The Last Decade
Jennifer M. Suga
37 papers receiving 339 citations
Peers
Comparison fields: 5 of 66
- Oncology 206
- Pulmonary and Respiratory Medicine 132
- Molecular Biology 73
- Cancer Research 64
- Economics and Econometrics 61
Countries citing papers authored by Jennifer M. Suga
This map shows the geographic impact of Jennifer M. Suga'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 Jennifer M. Suga with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jennifer M. Suga more than expected).
Fields of papers citing papers by Jennifer M. Suga
This network shows the impact of papers produced by Jennifer M. Suga. 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 Jennifer M. Suga. The network helps show where Jennifer M. Suga may publish in the future.
Co-authorship network of co-authors of Jennifer M. Suga
This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer M. Suga. A scholar is included among the top collaborators of Jennifer M. Suga 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 Jennifer M. Suga. Jennifer M. Suga 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 | 2 | |
| 4 | 9 | |
| 5 | 4 | |
| 6 | 1 | |
| 7 | 15 | |
| 8 | 5 | |
| 9 | 2 | |
| 10 | 39 | |
| 11 | 19 | |
| 12 | 4 | |
| 13 | 5 | |
| 14 | 5 | |
| 15 | 3 | |
| 16 | 2 | |
| 17 | 19 | |
| 18 | 7 | |
| 19 | 18 | |
| 20 | 16 |
About Jennifer M. Suga
Jennifer M. Suga is a scholar working on Cancer Research, Oncology and Pulmonary and Respiratory Medicine, having authored 40 papers that have together received 346 indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (12 papers), Cancer Genomics and Diagnostics (9 papers) and Economic and Financial Impacts of Cancer (7 papers). The work is most often cited by research in Oncology (206 citations), Cancer Research (64 citations) and Pulmonary and Respiratory Medicine (132 citations). Jennifer M. Suga has collaborated with scholars based in United States, Spain and Canada. Frequent co-authors include Laurel A. Habel, Joseph M. Unger, James L. Wade, Peter J. Kourlas, Sreenivasa R Chandana, Dawn L. Hershman, Scott D. Ramsey, Primo N. Lara, Mark Allen O’Rourke and Veena Shankaran. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and JNCI Journal of the National Cancer Institute.
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.