E. Jane Leonard
Impact in
- Cell Biology top 10%
- Microtubule and mitosis dynamics
-
- Cancer-related Molecular Pathways
- Lung Cancer Research Studies
Papers in
- Oncology 11
- Cancer Treatment and Pharmacology 4
- Lung Cancer Research Studies 3
- Cancer-related Molecular Pathways 2
- Cancer Immunotherapy and Biomarkers 2
- Cell Biology 10
- Microtubule and mitosis dynamics 10
- Co-authors
- Xiaofei Zhou (8 shared papers)Howard Fingert (3 shared papers)Jonathan W. Friedberg (4 shared papers)Daniel O. Persky (4 shared papers)Hadi Danaee (2 shared papers)Steven H. Bernstein (2 shared papers)Izidore S. Lossos (2 shared papers)Richard Burack (1 shared paper)
- Journals
- Blood (8 papers)Journal of Clinical Oncology (5 papers)Annals of Oncology (3 papers)Cancer Research (3 papers)Clinical Cancer Research (1 paper)
- Partner nations
- United StatesBelgiumJapan
In The Last Decade
E. Jane Leonard
24 papers receiving 421 citations
Peers
Comparison fields: 5 of 45
- Cell Biology 143
- Oncology 170
- Pathology and Forensic Medicine 109
- Genetics 66
- Hematology 45
Countries citing papers authored by E. Jane Leonard
This map shows the geographic impact of E. Jane Leonard'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 E. Jane Leonard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E. Jane Leonard more than expected).
Fields of papers citing papers by E. Jane Leonard
This network shows the impact of papers produced by E. Jane Leonard. 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 E. Jane Leonard. The network helps show where E. Jane Leonard may publish in the future.
Co-authors
The 25 scholars most cited alongside E. Jane Leonard, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 163 | |
| 2 | 2014 | 66 | |
| 3 | 2011 | 34 | |
| 4 | 2016 | 29 | |
| 5 | 2022 | 18 | |
| 6 | 2010 | 18 | |
| 7 | 2017 | 17 | |
| 8 | 2021 | 14 | |
| 9 | 1983 | 13 | |
| 10 | 2016 | 11 | |
| 11 | 2022 | 8 | |
| 12 | 2013 | 7 | |
| 13 | 2012 | 4 | |
| 14 | 2019 | 3 | |
| 15 | 2014 | 3 | |
| 16 | 2012 | 3 | |
| 17 | 2012 | 2 | |
| 18 | 2021 | 2 | |
| 19 | 2021 | 2 | |
| 20 | 2020 | 1 |
About E. Jane Leonard
E. Jane Leonard is a scholar working on Oncology, Cell Biology, Molecular Biology, Pulmonary and Respiratory Medicine and Hematology, having authored 24 papers that have together received 422 indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (10 papers), Advanced Breast Cancer Therapies (5 papers), Cancer Treatment and Pharmacology (4 papers), Protein Degradation and Inhibitors (3 papers), 14-3-3 protein interactions (3 papers), Lung Cancer Research Studies (3 papers), Cancer-related Molecular Pathways (2 papers) and Cancer Immunotherapy and Biomarkers (2 papers). The work is most often cited by research in Cell Biology (143 citations), Oncology (170 citations), Pathology and Forensic Medicine (109 citations), Genetics (66 citations) and Hematology (45 citations). E. Jane Leonard has collaborated with scholars based in United States, Belgium and Japan. Frequent co-authors include Xiaofei Zhou, Howard Fingert, Jonathan W. Friedberg, Daniel O. Persky, Hadi Danaee, Steven H. Bernstein, Izidore S. Lossos, Richard Burack, Amit B. Agarwal and Daruka Mahadevan. Their work appears in journals such as Blood, Journal of Clinical Oncology, Annals of Oncology, Cancer Research and Clinical Cancer Research.
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.