Jennifer DeVecchio

1.9k citations
34 papers · 1.6k · h-index 18

Impact in

  • Oncology top 5%
    • Cancer Cells and Metastasis
    • Cancer-related Molecular Pathways
    • Cancer, Hypoxia, and Metabolism

Papers in

    • Hedgehog Signaling Pathway Studies 6
    • Epigenetics and DNA Methylation 5
    • Cell death mechanisms and regulation 4
    • Cancer-related Molecular Pathways 4
    • Cancer Cells and Metastasis 3

Jennifer DeVecchio

33 papers receiving 1.5k citations

Peers

Jennifer DeVecchio
Comparison fields: 5 of 78
  • Oncology 549
  • Cancer Research 250
  • Molecular Biology 877
  • Immunology 234
  • Genetics 101
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Citations per field
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Citations per year

Countries citing papers authored by Jennifer DeVecchio

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

The 25 scholars most cited alongside Jennifer DeVecchio, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jennifer DeVecchio Line = papers co-authored together Jennifer DeVecchio links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013299
2 2010146
3 2011121
4 2014117
5 201788
6 201086
7 201184
8 200382
9 201173
10 201065
11 200360
12 200357
13 201940
14 201329
15 200424
16 201821
17 201720
18 201819
19 201517
20 202217

About Jennifer DeVecchio

Jennifer DeVecchio is a scholar working on Molecular Biology, Oncology, Immunology, Public Health, Environmental and Occupational Health and Cancer Research, having authored 34 papers that have together received 1.6k indexed citations. Recurring topics across this work include Hedgehog Signaling Pathway Studies (6 papers), Immune Cell Function and Interaction (5 papers), Epigenetics and DNA Methylation (5 papers), Immune Response and Inflammation (5 papers), Cell death mechanisms and regulation (4 papers), Cancer-related Molecular Pathways (4 papers), Research on Leishmaniasis Studies (4 papers) and Cancer Cells and Metastasis (3 papers). The work is most often cited by research in Oncology (549 citations), Cancer Research (250 citations), Molecular Biology (877 citations), Immunology (234 citations) and Genetics (101 citations). Jennifer DeVecchio has collaborated with scholars based in United States, Switzerland and Brazil. Frequent co-authors include Janet A. Houghton, Akwasi Agyeman, Tapati Mazumdar, Ting Shi, Frederick P. Heinzel, Henry W. Murray, Matthew F. Kalady, Jeremy N. Rich, Justin D. Lathia and Anita B. Hjelmeland. Their work appears in journals such as Cancer Research, Diseases of the Colon & Rectum, The Journal of Immunology, Blood and The Journal of Infectious Diseases.

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.

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