Guillermo Tortolero‐Luna

14.4k citations
132 papers · 5.8k indexed · 3 hit papers · h-index 36

Guillermo Tortolero‐Luna

130 papers receiving 5.6k citations

Hit Papers

Cancer statistics for ...2652008202620142020200400600

Peers

Guillermo Tortolero‐Luna
Comparison fields: 5 of 177
  • Obstetrics and Gynecology 782
  • Reproductive Medicine 726
  • Epidemiology 2.5k
  • Oncology 1.6k
  • Microbiology 273
Replace Morten Frisch with:
Morten Frisch Denmark
Shalini Kulasingam United States
Jan Wohlfahrt Denmark
Cornelia L. Trimble United States
Vicki B. Benard United States
Patrick Petignat Switzerland
Rebecca B. Perkins United States
Herschel W. Lawson United States
Sílvia de Sanjosé Spain
Joanna M. Cain United States
Guillermo Tortolero‐Luna relative to Morten Frisch Denmark Morten Frisch's profile →
Citations per field
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Morten Frisch · 1×
Citations per year

Countries citing papers authored by Guillermo Tortolero‐Luna

Since Specialization
Citations

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

Fields of papers citing papers by Guillermo Tortolero‐Luna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Guillermo Tortolero‐Luna. 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 Guillermo Tortolero‐Luna. The network helps show where Guillermo Tortolero‐Luna may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20237
2 20233
3 202114
4
Cancer statistics for the US Hispanic/Latino population, 2021breakdown →
2021265
5 20194
6 20168
7 201513
8 201324
9
Awareness of direct-to-consumer genetic tests and use of genetic tests among Puerto Rican adults, 2009.
201118
10 201144
11 20119
12 201010
13 200537
14 200511
15 2005188
16 200560
17 1999175
18 199519
19 199528
20 199534

About Guillermo Tortolero‐Luna

Guillermo Tortolero‐Luna is a scholar working on Obstetrics and Gynecology, Reproductive Medicine and Oncology, having authored 132 papers that have together received 5.8k indexed citations. Recurring topics across this work include Cervical Cancer and HPV Research (55 papers), Global Cancer Incidence and Screening (29 papers), Ovarian cancer diagnosis and treatment (16 papers), Endometrial and Cervical Cancer Treatments (16 papers), Genital Health and Disease (11 papers), Hepatitis B Virus Studies (11 papers), Colorectal Cancer Screening and Detection (10 papers) and Cancer Risks and Factors (8 papers). The work is most often cited by research in Obstetrics and Gynecology (782 citations), Reproductive Medicine (726 citations) and Epidemiology (2.5k citations). Guillermo Tortolero‐Luna has collaborated with scholars based in United States, Puerto Rico and Canada. Frequent co-authors include Anna R. Giuliano, David M. Gershenson, Ana P. Ortíz, F. Xavier Bosch, Susanne K. Kjær, Mote Mitchell, Michele Follen, Karen Adler‐Storthz, Michael E. Scheurer and Alicia Gonzales. Their work appears in journals such as PLoS ONE, Cancer and Cancer Research.

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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