Daniel Gioeli

4.6k citations
69 papers · 3.6k · h-index 30

Impact in

Papers in

Daniel Gioeli

69 papers receiving 3.5k citations

Peers

Daniel Gioeli
Comparison fields: 5 of 120
  • Pulmonary and Respiratory Medicine 1.3k
  • Cancer Research 521
  • Molecular Biology 2.0k
  • Oncology 682
  • Endocrinology, Diabetes and Metabolism 413
Replace Ming‐Fong Lin with:
Ming‐Fong Lin United States
Robert A. Sikes United States
David J. Mulholland United States
Marja T. Nevalainen United States
Wytske M. van Weerden Netherlands
Shunyou Wang United States
Iris E. Eder Austria
M. E. Harper United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Daniel Gioeli

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Gioeli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Gioeli. 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 Daniel Gioeli. The network helps show where Daniel Gioeli may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Activation of mitogen-activated protein kinase associated with prostate cancer progression.
1999458
2 2010277
3 2002275
4
Constitutive activation of the Ras/mitogen-activated protein kinase signaling pathway promotes androgen hypersensitivity in LNCaP prostate cancer cells.
2003164
5 2005138
6 2010130
7 2003122
8 2010120
9 2010111
10 2011101
11 201497
12 200694
13 200590
14 200689
15 200887
16 201085
17
Attenuation of Ras signaling restores androgen sensitivity to hormone-refractory C4-2 prostate cancer cells.
200370
18 200466
19 201658
20 201155

About Daniel Gioeli

Daniel Gioeli is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Oncology, Genetics and Cancer Research, having authored 69 papers that have together received 3.6k indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (30 papers), Ubiquitin and proteasome pathways (11 papers), Estrogen and related hormone effects (10 papers), Hormonal and reproductive studies (6 papers), Melanoma and MAPK Pathways (6 papers), Cancer-related Molecular Pathways (5 papers), Genomics and Chromatin Dynamics (5 papers) and Cancer Cells and Metastasis (4 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (1.3k citations), Cancer Research (521 citations), Molecular Biology (2.0k citations), Oncology (682 citations) and Endocrinology, Diabetes and Metabolism (413 citations). Daniel Gioeli has collaborated with scholars based in United States, Egypt and France. Frequent co-authors include Michael J. Weber, Bryce M. Paschal, Henry F. Frierson, James W. Mandell, Gina R. Petroni, Yulia Koryakina, Adam Spencer, Mark R. Conaway, Huy Q. Ta and Eric A. Bissonette. Their work appears in journals such as Cancer Research, Molecular Endocrinology, The Prostate, PLoS ONE 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.

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