Danielle Castillo

856 citations
29 papers · 381 · h-index 10

Impact in

  • Genetics top 10%
    • BRCA gene mutations in cancer
    • Genomics and Rare Diseases
    • Genomic variations and chromosomal abnormalities
    • Cancer Genomics and Diagnostics

Papers in

    • BRCA gene mutations in cancer 14
    • Cancer-related Molecular Pathways 4

Danielle Castillo

27 papers receiving 377 citations

Peers

Danielle Castillo
Comparison fields: 5 of 48
  • Genetics 205
  • Cancer Research 69
  • Pathology and Forensic Medicine 52
  • Oncology 66
  • Molecular Biology 97
Replace Bita Nehoray with:
Bita Nehoray United States
Mateja Krajc Slovenia
Eleni Kakouri Cyprus
Stephanie A. Bien United States
Iva Petrovchich United States
Anna H. Wu United States
Jolanta Szymańska-Pasternak Poland
Gay‐Hui Ho Singapore
Martin Tochacek United States
Laura Sarantaus Finland
Danielle Castillo relative to Bita Nehoray United States Bita Nehoray's profile →
Citations per field
00.5×1.5×1.8×
Bita Nehoray · 1×
Citations per year

Countries citing papers authored by Danielle Castillo

Since Specialization
Citations

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

Fields of papers citing papers by Danielle Castillo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201472
2 201563
3 201844
4 201738
5 201936
6 201225
7 202118
8 202113
9 202110
10 20199
11 20228
12 20178
13 20208
14 20234
15 20224
16
[Current trends of the epidemiology of human trichinosis in Chile].
19984
17 20213
18 20192
19 20192
20 20212

About Danielle Castillo

Danielle Castillo is a scholar working on Genetics, Oncology, Molecular Biology, Pathology and Forensic Medicine and Cancer Research, having authored 29 papers that have together received 381 indexed citations. Recurring topics across this work include BRCA gene mutations in cancer (14 papers), Cancer-related Molecular Pathways (4 papers), Cancer Genomics and Diagnostics (3 papers), Genetic factors in colorectal cancer (3 papers), DNA Repair Mechanisms (1 paper), Hyperglycemia and glycemic control in critically ill and hospitalized patients (1 paper), Neurofibromatosis and Schwannoma Cases (1 paper) and Advanced Breast Cancer Therapies (1 paper). The work is most often cited by research in Genetics (205 citations), Cancer Research (69 citations), Pathology and Forensic Medicine (52 citations), Oncology (66 citations) and Molecular Biology (97 citations). Danielle Castillo has collaborated with scholars based in United States, Mexico and Canada. Frequent co-authors include Jeffrey N. Weitzel, Josef Herzog, Romesh Khardori, Cynthia Villarreal‐Garza, Alejandro Mohar, Rosa María Álvarez-Gómez, Kathleen R. Blazer, Luis A. Herrera, Sharon Sand and Bita Nehoray. Their work appears in journals such as Journal of Clinical Oncology, Cancer, Journal of Geriatric Oncology, American Journal of Clinical Pathology and Cancer Epidemiology Biomarkers & Prevention.

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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