Megan M. Kaneda
- Immunology top 5%
- Oncology top 5%
- Molecular Biology
- Biomedical Engineering
- Cancer Research top 10%
- Co-authors
- Judith A. VarnerSamuel A. WicklineGregory M. LanzaPhilippe FoubertShelton D. CaruthersAbraham V. NguyenMichael C. SchmidBrian Ruffell
- Topics
- Immune cells in cancer (9 papers)Phagocytosis and Immune Regulation (5 papers)Immune Cell Function and Interaction (3 papers)
- Cited by
- ImmunologyOncologyCancer Research
- Partner nations
- United StatesJapanUnited Kingdom
In The Last Decade
Megan M. Kaneda
18 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 112
- Immunology 768
- Oncology 615
- Molecular Biology 510
- Biomedical Engineering 180
- Cancer Research 161
Countries citing papers authored by Megan M. Kaneda
This map shows the geographic impact of Megan M. Kaneda'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 Megan M. Kaneda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Megan M. Kaneda more than expected).
Fields of papers citing papers by Megan M. Kaneda
This network shows the impact of papers produced by Megan M. Kaneda. 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 Megan M. Kaneda. The network helps show where Megan M. Kaneda may publish in the future.
Co-authorship network of co-authors of Megan M. Kaneda
This figure shows the co-authorship network connecting the top 25 collaborators of Megan M. Kaneda. A scholar is included among the top collaborators of Megan M. Kaneda 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 Megan M. Kaneda. Megan M. Kaneda 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 | 0 | |
| 4 | 15 | |
| 5 | 1 | |
| 6 | 197 | |
| 7 | 69 | |
| 8 | 230 | |
| 9 | 1 | |
| 10 | 236 | |
| 11 | Bruton Tyrosine Kinase–Dependent Immune Cell Cross-talk Drives Pancreas Cancerbreakdown → | 381 |
| 12 | 182 | |
| 13 | 48 | |
| 14 | 49 | |
| 15 | 145 | |
| 16 | 10 | |
| 17 | 41 | |
| 18 | 19 | |
| 19 | Immunohistochemical localization of transforming growth factor-beta 1, -beta 2, and -beta 3 latency-associated peptide in human cornea. | 61 |
| 20 | Double-staining analysis of mononuclear cells infiltrating rejected kidney. | 1 |
About Megan M. Kaneda
Megan M. Kaneda is a scholar working on Immunology, Immunology and Allergy and Oncology, having authored 20 papers that have together received 1.7k indexed citations. Recurring topics across this work include Immune cells in cancer (9 papers), Phagocytosis and Immune Regulation (5 papers) and Immune Cell Function and Interaction (3 papers). The work is most often cited by research in Immunology (768 citations), Oncology (615 citations) and Cancer Research (161 citations). Megan M. Kaneda has collaborated with scholars based in United States, Japan and United Kingdom. Frequent co-authors include Judith A. Varner, Samuel A. Wickline, Gregory M. Lanza, Philippe Foubert, Shelton D. Caruthers, Abraham V. Nguyen, Michael C. Schmid, Brian Ruffell, Takahiro Tsujikawa and Lisa M. Coussens. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and Blood.
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.