Warren W. Lane
- Oncology top 2%
- Pulmonary and Respiratory Medicine top 2%
- Genetics top 2%
- Pathology and Forensic Medicine top 5%
- Cancer Research top 10%
- Co-authors
- Dutzu RosnerJohn W. PickrenYoshiaki TsukadaAhmed FouadTakuma NemotoRonald G. VincentHiroshi TakitaAlberto C. Gutierrez
- Topics
- Lung Cancer Treatments and Mutations (8 papers)Breast Cancer Treatment Studies (7 papers)Lung Cancer Research Studies (6 papers)
- Partner nations
- United StatesNetherlandsFrance
In The Last Decade
Warren W. Lane
39 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 90
- Oncology 1.0k
- Pulmonary and Respiratory Medicine 1.0k
- Genetics 402
- Pathology and Forensic Medicine 352
- Cancer Research 297
Countries citing papers authored by Warren W. Lane
This map shows the geographic impact of Warren W. Lane'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 Warren W. Lane with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Warren W. Lane more than expected).
Fields of papers citing papers by Warren W. Lane
This network shows the impact of papers produced by Warren W. Lane. 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 Warren W. Lane. The network helps show where Warren W. Lane may publish in the future.
Co-authorship network of co-authors of Warren W. Lane
This figure shows the co-authorship network connecting the top 25 collaborators of Warren W. Lane. A scholar is included among the top collaborators of Warren W. Lane 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 Warren W. Lane. Warren W. Lane is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Studies on the radioprotective effect of etiocholanolone. | 1 |
| 2 | 45 | |
| 3 | 64 | |
| 4 | 32 | |
| 5 | 42 | |
| 6 | 83 | |
| 7 | 36 | |
| 8 | 22 | |
| 9 | 47 | |
| 10 | 18 | |
| 11 | 184 | |
| 12 | 35 | |
| 13 | Accuracy of basic cancer patient data: results from an extensive recoding survey. | 26 |
| 14 | 2 | |
| 15 | 3 | |
| 16 | 6 | |
| 17 | Evolutionary Data Systems in Cancer Research | 2 |
| 18 | 69 | |
| 19 | 20 | |
| 20 | 64 |
About Warren W. Lane
Warren W. Lane is a scholar working on Oncology, Pathology and Forensic Medicine and Cancer Research, having authored 40 papers that have together received 2.1k indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (8 papers), Breast Cancer Treatment Studies (7 papers) and Lung Cancer Research Studies (6 papers). The work is most often cited by research in Oncology (1.0k citations), Genetics (402 citations) and Pulmonary and Respiratory Medicine (1.0k citations). Warren W. Lane has collaborated with scholars based in United States, Netherlands and France. Frequent co-authors include Dutzu Rosner, John W. Pickren, Yoshiaki Tsukada, Ahmed Fouad, Takuma Nemoto, Ronald G. Vincent, Hiroshi Takita, Alberto C. Gutierrez, Curtis Mettlin and Irwin D. J. Bross. Their work appears in journals such as Journal of Clinical Oncology, Cancer and American Journal of Epidemiology.
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.