Pablo Letelier

29 papers receiving 943 citations

Peers

Pablo Letelier
Comparison fields: 5 of 112
  • Cancer Research 278
  • Pathology and Forensic Medicine 107
  • Molecular Biology 428
  • Medical Laboratory Technology 6
  • Oncology 103
Replace Wun‐Jae Kim with:
Wun‐Jae Kim South Korea
Qixing Tan China
Chi‐Li Chung Taiwan
Bin Qiu China
Kensuke Mitsunari Japan
Grażyna Sygitowicz Poland
Tarek H. El‐Metwally Egypt
Young Ran Park South Korea
Qing Lü China
Qing Pang China
Pablo Letelier relative to Wun‐Jae Kim South Korea Wun‐Jae Kim's profile →
Citations per field
00.5×3.6×
Wun‐Jae Kim · 1×
Citations per year

Countries citing papers authored by Pablo Letelier

Since Specialization
Citations

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

Fields of papers citing papers by Pablo Letelier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014162
2 2017154
3 2015108
4 201685
5
miR-1 and miR-145 act as tumor suppressor microRNAs in gallbladder cancer.
201465
6 202039
7 201635
8 202032
9 201330
10 200530
11 201329
12 201627
13 202126
14 201225
15 201419
16 202318
17 202017
18 201615
19 202210
20 202010

About Pablo Letelier

Pablo Letelier is a scholar working on Molecular Biology, Infectious Diseases, Surgery, Cancer Research and Physiology, having authored 34 papers that have together received 954 indexed citations. Recurring topics across this work include Cholangiocarcinoma and Gallbladder Cancer Studies (5 papers), COVID-19 Clinical Research Studies (5 papers), Cancer-related molecular mechanisms research (5 papers), MicroRNA in disease regulation (4 papers), Circular RNAs in diseases (3 papers), Seaweed-derived Bioactive Compounds (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and Clinical Laboratory Practices and Quality Control (2 papers). The work is most often cited by research in Cancer Research (278 citations), Pathology and Forensic Medicine (107 citations), Molecular Biology (428 citations), Medical Laboratory Technology (6 citations) and Oncology (103 citations). Pablo Letelier has collaborated with scholars based in Chile, United States and Brazil. Frequent co-authors include Juan Carlos Roa, Ismael Riquelme, Priscilla Brebi, Pamela Leal, Óscar Tapia, Alejandra Sandoval, Jorge G. Farías, Patricia García, Andrea Zepeda and Rodrigo Carrasco. Their work appears in journals such as International Journal of Molecular Sciences, Journal of Clinical Medicine, Archives of Pathology & Laboratory Medicine, Journal of Community Psychology and Clinical Epigenetics.

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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