Richard B. Schwab
- Molecular Biology top 5%
- Oncology top 2%
- Cancer Research top 1%
- Pulmonary and Respiratory Medicine top 5%
- Pathology and Forensic Medicine top 5%
- Co-authors
- Razelle KurzrockBarbara A. ParkerMarı́a Elena Martı́nezKristin AndersonMaria SchwaederléPaul T. FantaDavid PiccioniScott A. Irwin
- Topics
- Cancer Genomics and Diagnostics (28 papers)Lung Cancer Treatments and Mutations (16 papers)Advanced Breast Cancer Therapies (11 papers)
- Journals
- Proceedings of the National Academy of SciencesNucleic Acids ResearchJournal of Biological Chemistry
- Partner nations
- United StatesSouth KoreaSpain
In The Last Decade
Richard B. Schwab
81 papers receiving 3.3k citations
Peers
Comparison fields: 5 of 138
- Molecular Biology 1.5k
- Oncology 1.4k
- Cancer Research 1.3k
- Pulmonary and Respiratory Medicine 611
- Pathology and Forensic Medicine 395
Countries citing papers authored by Richard B. Schwab
This map shows the geographic impact of Richard B. Schwab'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 Richard B. Schwab with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Richard B. Schwab more than expected).
Fields of papers citing papers by Richard B. Schwab
This network shows the impact of papers produced by Richard B. Schwab. 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 Richard B. Schwab. The network helps show where Richard B. Schwab may publish in the future.
Co-authorship network of co-authors of Richard B. Schwab
This figure shows the co-authorship network connecting the top 25 collaborators of Richard B. Schwab. A scholar is included among the top collaborators of Richard B. Schwab 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 Richard B. Schwab. Richard B. Schwab is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 7 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 21 | |
| 8 | 34 | |
| 9 | 169 | |
| 10 | 19 | |
| 11 | 34 | |
| 12 | 18 | |
| 13 | 102 | |
| 14 | 125 | |
| 15 | 6 | |
| 16 | 71 | |
| 17 | 14 | |
| 18 | 23 | |
| 19 | 101 | |
| 20 | 112 |
About Richard B. Schwab
Richard B. Schwab is a scholar working on Cancer Research, Oncology and Pulmonary and Respiratory Medicine, having authored 86 papers that have together received 3.4k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (28 papers), Lung Cancer Treatments and Mutations (16 papers) and Advanced Breast Cancer Therapies (11 papers). The work is most often cited by research in Cancer Research (1.3k citations), Oncology (1.4k citations) and Pathology and Forensic Medicine (395 citations). Richard B. Schwab has collaborated with scholars based in United States, South Korea and Spain. Frequent co-authors include Razelle Kurzrock, Barbara A. Parker, Marı́a Elena Martı́nez, Kristin Anderson, Maria Schwaederlé, Paul T. Fanta, David Piccioni, Scott A. Irwin, Brent T. Mausbach and Min Yan. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.
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.