Melissa D. Landis
- Oncology top 5%
- Cancer Cells and Metastasis 9
- HER2/EGFR in Cancer Research 5
- Cancer Risks and Factors 3
- Cancer-related Molecular Pathways 3
- Cancer Research top 5%
- Cancer Genomics and Diagnostics 3
- Molecular Biology top 10%
- PI3K/AKT/mTOR signaling in cancer 3
- Toxicology top 10%
- Pharmacology top 10%
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- Nanoparticle-Based Drug Delivery 5
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- Cancer Mechanisms and Therapy 2
- Co-authors
- Jenny C. ChangHelen WongDong Soon ChoiBhuvanesh DaveMichael T. LewisRuth A. KeriLacey E. DobroleckiAngel Rodriguez
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Journal of Biological Chemistry (1 paper)PLoS ONE (2 papers)
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
Melissa D. Landis
28 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 106
- Oncology 868
- Cancer Research 393
- Molecular Biology 940
- Toxicology 34
- Pharmacology 78
Countries citing papers authored by Melissa D. Landis
This map shows the geographic impact of Melissa D. Landis'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 Melissa D. Landis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Melissa D. Landis more than expected).
Fields of papers citing papers by Melissa D. Landis
This network shows the impact of papers produced by Melissa D. Landis. 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 Melissa D. Landis. The network helps show where Melissa D. Landis may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Melissa D. Landis, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 49 | |
| 2 | 2016 | 47 | |
| 3 | 2015 | 30 | |
| 4 | 2015 | 175 | |
| 5 | 2014 | 137 | |
| 6 | 2014 | 20 | |
| 7 | 2013 | 209 | |
| 8 | 2013 | 36 | |
| 9 | 2013 | 29 | |
| 10 | 2012 | 162 | |
| 11 | 2012 | 53 | |
| 12 | 2011 | 47 | |
| 13 | 2010 | 62 | |
| 14 | 2009 | 33 | |
| 15 | 2008 | 260 | |
| 16 | 2007 | 8 | |
| 17 | 2007 | 40 | |
| 18 | 2006 | 24 | |
| 19 | 2005 | 52 | |
| 20 | 2002 | 27 |
About Melissa D. Landis
Melissa D. Landis is a scholar working on Oncology, Biomaterials and Cancer Research, having authored 28 papers that have together received 1.8k indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (9 papers), Nanoparticle-Based Drug Delivery (5 papers), HER2/EGFR in Cancer Research (5 papers), Cancer Risks and Factors (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers), Cancer Genomics and Diagnostics (3 papers), Cancer-related Molecular Pathways (3 papers) and Cancer Mechanisms and Therapy (2 papers). The work is most often cited by research in Oncology (868 citations), Cancer Research (393 citations) and Molecular Biology (940 citations). Melissa D. Landis has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Jenny C. Chang, Helen Wong, Dong Soon Choi, Bhuvanesh Dave, Michael T. Lewis, Ruth A. Keri, Lacey E. Dobrolecki, Angel Rodriguez, Darcie D. Seachrist and Susan G. Hilsenbeck. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and PLoS ONE.
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.