Alberto Cedro‐Tanda

784 citations
24 papers · 395 · h-index 11

Impact in

    • Cancer-related molecular mechanisms research
    • Cancer Genomics and Diagnostics
    • MicroRNA in disease regulation
    • RNA modifications and cancer
    • Circular RNAs in diseases
    • RNA Research and Splicing
    • Epigenetics and DNA Methylation

Papers in

Alberto Cedro‐Tanda

24 papers receiving 390 citations

Peers

Alberto Cedro‐Tanda
Comparison fields: 5 of 61
  • Cancer Research 214
  • Molecular Biology 238
  • Oncology 79
  • Immunology 50
  • Pulmonary and Respiratory Medicine 48
Replace Edgar Gonzalez‐Kozlova with:
Edgar Gonzalez‐Kozlova United States
Juraj Benca Slovakia
Frank McCaughan United Kingdom
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Vignesh Gunasekharan United States
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Yexun Wang China
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Citations per field
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Citations per year

Countries citing papers authored by Alberto Cedro‐Tanda

Since Specialization
Citations

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

Fields of papers citing papers by Alberto Cedro‐Tanda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alberto Cedro‐Tanda. 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 Alberto Cedro‐Tanda. The network helps show where Alberto Cedro‐Tanda may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2022116
2 201943
3 201636
4 201929
5 202026
6 201023
7 201417
8 201917
9 201816
10 202113
11 202411
12 201910
13 20209
14 20227
15 20147
16 20233
17 20193
18 20222
19 20242
20 20251

About Alberto Cedro‐Tanda

Alberto Cedro‐Tanda is a scholar working on Molecular Biology, Cancer Research, Oncology, Infectious Diseases and Immunology, having authored 24 papers that have together received 395 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (6 papers), RNA modifications and cancer (6 papers), SARS-CoV-2 and COVID-19 Research (5 papers), COVID-19 Clinical Research Studies (4 papers), RNA Research and Splicing (3 papers), SARS-CoV-2 detection and testing (2 papers), PARP inhibition in cancer therapy (2 papers) and Hematopoietic Stem Cell Transplantation (2 papers). The work is most often cited by research in Cancer Research (214 citations), Molecular Biology (238 citations), Oncology (79 citations), Immunology (50 citations) and Pulmonary and Respiratory Medicine (48 citations). Alberto Cedro‐Tanda has collaborated with scholars based in Mexico, Spain and Italy. Frequent co-authors include Alfredo Hidalgo‐Miranda, Fredy Omar Beltrán‐Anaya, Silvia Jiménez‐Morales, Sandra Romero‐Córdoba, Mireya Cisneros-Villanueva, Luis Alfaro-Ruíz, Karen Page, Jacqui Shaw, Daniel Fernández-García and Rebecca C. Allsopp. Their work appears in journals such as Scientific Reports, Annals of Oncology, British Journal of Cancer, Biotechnology and Applied Biochemistry and Human Genomics.

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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