Jennifer DeVecchio
- Molecular Biology top 10%
- Oncology top 5%
- Cancer Research top 10%
- Immunology top 10%
- Public Health, Environmental and Occupational Health top 10%
- Co-authors
- Janet A. HoughtonTapati MazumdarAkwasi AgyemanTing ShiFrederick P. HeinzelHenry W. MurrayJeremy N. RichMatthew F. Kalady
- Topics
- Hedgehog Signaling Pathway Studies (6 papers)Epigenetics and DNA Methylation (6 papers)Immune Cell Function and Interaction (5 papers)
- Partner nations
- United StatesSwitzerlandItaly
In The Last Decade
Jennifer DeVecchio
33 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 78
- Molecular Biology 910
- Oncology 599
- Cancer Research 287
- Immunology 248
- Public Health, Environmental and Occupational Health 186
Countries citing papers authored by Jennifer DeVecchio
This map shows the geographic impact of Jennifer DeVecchio'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 Jennifer DeVecchio with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jennifer DeVecchio more than expected).
Fields of papers citing papers by Jennifer DeVecchio
This network shows the impact of papers produced by Jennifer DeVecchio. 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 Jennifer DeVecchio. The network helps show where Jennifer DeVecchio may publish in the future.
Co-authorship network of co-authors of Jennifer DeVecchio
This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer DeVecchio. A scholar is included among the top collaborators of Jennifer DeVecchio 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 Jennifer DeVecchio. Jennifer DeVecchio 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 | 7 | |
| 3 | 15 | |
| 4 | 38 | |
| 5 | 8 | |
| 6 | 18 | |
| 7 | 20 | |
| 8 | 82 | |
| 9 | 13 | |
| 10 | 16 | |
| 11 | 120 | |
| 12 | 83 | |
| 13 | 84 | |
| 14 | Abstract #2436: Microarray analysis of the expression levels of molecular components of relevant signaling pathways in response to FUra/IFN-gamma treatment protocols in human colon carcinoma cell lines | 1 |
| 15 | 9 | |
| 16 | 7 | |
| 17 | 11 | |
| 18 | 3 | |
| 19 | 24 | |
| 20 | 76 |
About Jennifer DeVecchio
Jennifer DeVecchio is a scholar working on Oncology, Cancer Research and Immunology, having authored 34 papers that have together received 1.5k indexed citations. Recurring topics across this work include Hedgehog Signaling Pathway Studies (6 papers), Epigenetics and DNA Methylation (6 papers) and Immune Cell Function and Interaction (5 papers). The work is most often cited by research in Oncology (599 citations), Cancer Research (287 citations) and Molecular Biology (910 citations). Jennifer DeVecchio has collaborated with scholars based in United States, Switzerland and Italy. Frequent co-authors include Janet A. Houghton, Tapati Mazumdar, Akwasi Agyeman, Ting Shi, Frederick P. Heinzel, Henry W. Murray, Jeremy N. Rich, Matthew F. Kalady, Anita B. Hjelmeland and Justin D. Lathia. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Experimental Medicine and Genes & Development.
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.