William J. Geese
- Oncology top 1%
- Pulmonary and Respiratory Medicine top 2%
- Immunology top 5%
- Molecular Biology
- Cancer Research top 5%
- Co-authors
- Matthew D. HellmannScott AntoniaJulie R. BrahmerScott GettingerNaiyer A. RizviHossein BorghaeiRosalyn A. JuergensLaura Q.M. Chow
- Topics
- Cancer Immunotherapy and Biomarkers (27 papers)Lung Cancer Treatments and Mutations (15 papers)Cancer Genomics and Diagnostics (9 papers)
- Partner nations
- United StatesGermanyItaly
In The Last Decade
William J. Geese
42 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 84
- Oncology 2.5k
- Pulmonary and Respiratory Medicine 1.4k
- Immunology 619
- Molecular Biology 481
- Cancer Research 455
Countries citing papers authored by William J. Geese
This map shows the geographic impact of William J. Geese'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 William J. Geese with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William J. Geese more than expected).
Fields of papers citing papers by William J. Geese
This network shows the impact of papers produced by William J. Geese. 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 William J. Geese. The network helps show where William J. Geese may publish in the future.
Co-authorship network of co-authors of William J. Geese
This figure shows the co-authorship network connecting the top 25 collaborators of William J. Geese. A scholar is included among the top collaborators of William J. Geese 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 William J. Geese. William J. Geese 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 | 1 | |
| 3 | 17 | |
| 4 | 38 | |
| 5 | 3 | |
| 6 | Tumor Mutational Burden and Efficacy of Nivolumab Monotherapy and in Combination with Ipilimumab in Small-Cell Lung Cancerbreakdown → | 670 |
| 7 | 150 | |
| 8 | 22 | |
| 9 | 9 | |
| 10 | 9 | |
| 11 | 86 | |
| 12 | 16 | |
| 13 | 19 | |
| 14 | 9 | |
| 15 | Nivolumab plus ipilimumab as first-line treatment for advanced non-small-cell lung cancer (CheckMate 012): results of an open-label, phase 1, multicohort studybreakdown → | 700 |
| 16 | 36 | |
| 17 | 11 | |
| 18 | 19 | |
| 19 | 84 | |
| 20 | 12 |
About William J. Geese
William J. Geese is a scholar working on Oncology, Cancer Research and Pulmonary and Respiratory Medicine, having authored 43 papers that have together received 3.0k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (27 papers), Lung Cancer Treatments and Mutations (15 papers) and Cancer Genomics and Diagnostics (9 papers). The work is most often cited by research in Oncology (2.5k citations), Pulmonary and Respiratory Medicine (1.4k citations) and Cancer Research (455 citations). William J. Geese has collaborated with scholars based in United States, Germany and Italy. Frequent co-authors include Matthew D. Hellmann, Scott Antonia, Julie R. Brahmer, Scott Gettinger, Naiyer A. Rizvi, Hossein Borghaei, Rosalyn A. Juergens, Laura Q.M. Chow, David E. Gerber and Jonathan W. Goldman. Their work appears in journals such as Journal of Clinical Oncology, Blood and Journal of Molecular 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.