Gerald A. Vuocolo

1.4k citations
16 papers · 1.2k · 1 hit paper · h-index 12

Impact in

Papers in

    • Cancer-related gene regulation 5
    • Chemical Synthesis and Analysis 3
    • Peptidase Inhibition and Analysis 4

Gerald A. Vuocolo

16 papers receiving 1.2k citations

Gerald A. Vuocolo's Hit Papers

Tumors secreting human TNF/cachectin induce cachexia in mice 1987 · 544 citations
5440+13+26Years since publication100200300400500

Peers

Gerald A. Vuocolo
Comparison fields: 5 of 84
  • Oncology 347
  • Immunology 229
  • Ophthalmology 73
  • Physiology 210
  • Molecular Biology 593
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Citations per field
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Citations per year

Countries citing papers authored by Gerald A. Vuocolo

Since Specialization
Citations

This map shows the geographic impact of Gerald A. Vuocolo'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 Gerald A. Vuocolo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gerald A. Vuocolo more than expected).

Fields of papers citing papers by Gerald A. Vuocolo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gerald A. Vuocolo. 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 Gerald A. Vuocolo. The network helps show where Gerald A. Vuocolo may publish in the future.

Co-authors

The 25 scholars most cited alongside Gerald A. Vuocolo, 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 Gerald A. Vuocolo Line = papers co-authored together Gerald A. Vuocolo links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1
Tumors secreting human TNF/cachectin induce cachexia in mice
Hit paper breakdown →
1987544
2 1991298
3 199073
4 199353
5 198850
6 198439
7 198935
8 198922
9 199220
10 198517
11 199315
12
Mammalian cell lines engineered to identify inhibitors of specific signal transduction pathways.
199112
13 19919
14 19895
15 19884
16 19891

About Gerald A. Vuocolo

Gerald A. Vuocolo is a scholar working on Molecular Biology, Oncology, Genetics, Epidemiology and Radiology, Nuclear Medicine and Imaging, having authored 16 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cancer-related gene regulation (5 papers), Peptidase Inhibition and Analysis (4 papers), Virus-based gene therapy research (4 papers), Cervical Cancer and HPV Research (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Chemical Synthesis and Analysis (3 papers), Alkaline Phosphatase Research Studies (2 papers) and Toxin Mechanisms and Immunotoxins (2 papers). The work is most often cited by research in Oncology (347 citations), Immunology (229 citations), Ophthalmology (73 citations), Physiology (210 citations) and Molecular Biology (593 citations). Gerald A. Vuocolo has collaborated with scholars based in United States. Frequent co-authors include Deborah Defeo-Jones, Allen Oliff, DAVID M. KIEFER, Douglas Martinez, Abigail Wolfe, Susan H. Socher, Raymond E. Jones, Kathleen Haskell, Hans E. Huber and Pearl S. Huang. Their work appears in journals such as Molecular and Cellular Biology, Journal of Biological Chemistry, Journal of Virology, Nature and Cell.

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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