Jeffrey Wyckoff
- Molecular Biology top 1%
- Oncology top 0.5%
- Cell Biology top 0.2%
- Immunology top 1%
- Biomedical Engineering top 1%
- Co-authors
- John S. CondeelisJeffrey E. SegallSumanta GoswamiE. Richard StanleyWeigang WangYarong WangHideki YamaguchiErik Sahai
- Topics
- Cellular Mechanics and Interactions (20 papers)Cell Adhesion Molecules Research (17 papers)Cancer Cells and Metastasis (14 papers)
- Partner nations
- United StatesUnited KingdomSwitzerland
In The Last Decade
Jeffrey Wyckoff
66 papers receiving 9.2k citations
Hit Papers
Peers
Comparison fields: 5 of 133
- Molecular Biology 4.1k
- Oncology 3.8k
- Cell Biology 2.6k
- Immunology 2.2k
- Biomedical Engineering 1.7k
Countries citing papers authored by Jeffrey Wyckoff
This map shows the geographic impact of Jeffrey Wyckoff'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 Jeffrey Wyckoff with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeffrey Wyckoff more than expected).
Fields of papers citing papers by Jeffrey Wyckoff
This network shows the impact of papers produced by Jeffrey Wyckoff. 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 Jeffrey Wyckoff. The network helps show where Jeffrey Wyckoff may publish in the future.
Co-authorship network of co-authors of Jeffrey Wyckoff
This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey Wyckoff. A scholar is included among the top collaborators of Jeffrey Wyckoff 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 Jeffrey Wyckoff. Jeffrey Wyckoff is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 100 | |
| 3 | 276 | |
| 4 | 27 | |
| 5 | 54 | |
| 6 | 95 | |
| 7 | 53 | |
| 8 | 70 | |
| 9 | 179 | |
| 10 | 96 | |
| 11 | 144 | |
| 12 | Direct Visualization of Macrophage-Assisted Tumor Cell Intravasation in Mammary Tumorsbreakdown → | 807 |
| 13 | 157 | |
| 14 | 84 | |
| 15 | Macrophages Promote the Invasion of Breast Carcinoma Cells via a Colony-Stimulating Factor-1/Epidermal Growth Factor Paracrine Loopbreakdown → | 585 |
| 16 | 52 | |
| 17 | 367 | |
| 18 | A Paracrine Loop between Tumor Cells and Macrophages Is Required for Tumor Cell Migration in Mammary Tumorsbreakdown → | 901 |
| 19 | 2 | |
| 20 | 51 |
About Jeffrey Wyckoff
Jeffrey Wyckoff is a scholar working on Immunology and Allergy, Biophysics and Cell Biology, having authored 67 papers that have together received 9.3k indexed citations. Recurring topics across this work include Cellular Mechanics and Interactions (20 papers), Cell Adhesion Molecules Research (17 papers) and Cancer Cells and Metastasis (14 papers). The work is most often cited by research in Immunology and Allergy (1.1k citations), Cell Biology (2.6k citations) and Oncology (3.8k citations). Jeffrey Wyckoff has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include John S. Condeelis, Jeffrey E. Segall, Sumanta Goswami, E. Richard Stanley, Weigang Wang, Yarong Wang, Hideki Yamaguchi, Erik Sahai, Jeffrey W. Pollard and Elaine Y. Lin. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.