Marcelo Taborga

715 citations
9 papers · 599 · h-index 7

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
  • Genetics top 10%
    • Mesenchymal stem cell research

Papers in

    • Cancer Cells and Metastasis 3
    • Chemokine receptors and signaling 2
    • Cytokine Signaling Pathways and Interactions 1

Marcelo Taborga

9 papers receiving 587 citations

Peers

Marcelo Taborga
Comparison fields: 5 of 72
  • Cancer Research 234
  • Genetics 129
  • Oncology 232
  • Molecular Biology 369
  • Hematology 32
Replace Ta Jen Liu with:
Ta Jen Liu United States
Mathias Lamparter Germany
Young-Woo Sohn South Korea
Shi-Yuan Cheng United States
Laura Hasselbach United States
Hamda Al Thawadi Qatar
Eduard B. Dinca United Kingdom
Jared M. Bischof United States
Sandeep N. Shah United States
Hye-Min Jeon South Korea
Marcelo Taborga relative to Ta Jen Liu United States Ta Jen Liu's profile →
Citations per field
00.5×6.3×
Ta Jen Liu · 1×
Citations per year

Countries citing papers authored by Marcelo Taborga

Since Specialization
Citations

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

Fields of papers citing papers by Marcelo Taborga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Marcelo Taborga, 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 Marcelo Taborga Line = papers co-authored together Marcelo Taborga links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 2011349
2 2008119
3 200650
4 200733
5 200616
6 200713
7 200710
8 20215
9 20194

About Marcelo Taborga

Marcelo Taborga is a scholar working on Oncology, Molecular Biology, Cancer Research, Genetics and Immunology, having authored 9 papers that have together received 599 indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (3 papers), MicroRNA in disease regulation (2 papers), Mesenchymal stem cell research (2 papers), Chemokine receptors and signaling (2 papers), Patient Satisfaction in Healthcare (1 paper), Cytokine Signaling Pathways and Interactions (1 paper), Patient-Provider Communication in Healthcare (1 paper) and Acute Myeloid Leukemia Research (1 paper). The work is most often cited by research in Cancer Research (234 citations), Genetics (129 citations), Oncology (232 citations), Molecular Biology (369 citations) and Hematology (32 citations). Marcelo Taborga has collaborated with scholars based in United States. Frequent co-authors include Pranela Rameshwar, Prem Patel, Margarette Bryan, Steven J. Greco, Meneka A. Dave, Shyam A. Patel, Philip K. Lim, Sarah A. Bliss, Kelly E. Corcoran and Kathryn Packman. Their work appears in journals such as Cancer Research, Mini-Reviews in Medicinal Chemistry, Brain Behavior and Immunity, Expert Opinion on Biological Therapy and PLoS ONE.

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.

Explore authors with similar magnitude of impact