Hector Arango

15 papers receiving 1.2k citations

Hector Arango's Hit Papers

BRCA1 and BRCA2 mutations account for a large proportion of ovarian carcinoma cases 2005 · 530 citations
5300+7+14Years since publication100200300400500

Peers

Hector Arango
Comparison fields: 5 of 76
  • Reproductive Medicine 278
  • Obstetrics and Gynecology 216
  • Cancer Research 157
  • Genetics 293
  • Oncology 231
Replace Jeannine Villella with:
Jeannine Villella United States
Andreas Doll Spain
Yuji Yaginuma Japan
F. Alameda Spain
Mitchell Hoffman United States
Satoshi Takakura Japan
Yoko Tateishi Japan
Queeny K.Y. Chan Hong Kong
Ka-Kei Ho United Kingdom
Purna A. Joshi Canada
Hector Arango relative to Jeannine Villella United States Jeannine Villella's profile →
Citations per field
00.5×3.0×
Jeannine Villella · 1×
Citations per year

Countries citing papers authored by Hector Arango

Since Specialization
Citations

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

Fields of papers citing papers by Hector Arango

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1
BRCA1 and BRCA2 mutations account for a large proportion of ovarian carcinoma cases
Hit paper breakdown →
2005530
2 2004295
3 1997127
4 1998116
5 200044
6 200138
7
Management of chemotherapy in a pregnancy complicated by a large neuroblastoma.
199432
8 201224
9 199818
10 199115
11 19976
12 20016
13 20001
14 19951
15 19981

About Hector Arango

Hector Arango is a scholar working on Obstetrics and Gynecology, Surgery, Pediatrics, Perinatology and Child Health, Oncology and Genetics, having authored 15 papers that have together received 1.3k indexed citations. Recurring topics across this work include Endometrial and Cervical Cancer Treatments (3 papers), Bladder and Urothelial Cancer Treatments (1 paper), Estrogen and related hormone effects (1 paper), BRCA gene mutations in cancer (1 paper), Uterine Myomas and Treatments (1 paper), Cancer Risks and Factors (1 paper), Cutaneous Melanoma Detection and Management (1 paper) and Urological Disorders and Treatments (1 paper). The work is most often cited by research in Reproductive Medicine (278 citations), Obstetrics and Gynecology (216 citations), Cancer Research (157 citations), Genetics (293 citations) and Oncology (231 citations). Hector Arango has collaborated with scholars based in United States, China and Egypt. Frequent co-authors include James V. Fiorica, Mitchell Hoffman, James P. LaPolla, Rebecca Sutphen, Jeffrey P. Krischer, Martin A Martino, Alan Cantor, Katie Wakeley, George D. Wilbanks and Santo V. Nicosia. Their work appears in journals such as Obstetrics and Gynecology, The Journal of Urology, American Journal of Obstetrics and Gynecology, Cancer Epidemiology Biomarkers & Prevention and Journal of Lower Genital Tract Disease.

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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