Marcelo Taborga

715 total citations
9 papers, 599 citations indexed

About

Marcelo Taborga is a scholar working on Oncology, Molecular Biology and Cancer Research. According to data from OpenAlex, Marcelo Taborga has authored 9 papers receiving a total of 599 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Oncology, 4 papers in Molecular Biology and 3 papers in Cancer Research. Recurrent topics in Marcelo Taborga's work include Cancer Cells and Metastasis (3 papers), Mesenchymal stem cell research (2 papers) and Chemokine receptors and signaling (2 papers). Marcelo Taborga is often cited by papers focused on Cancer Cells and Metastasis (3 papers), Mesenchymal stem cell research (2 papers) and Chemokine receptors and signaling (2 papers). Marcelo Taborga collaborates with scholars based in United States. Marcelo Taborga's co-authors include Pranela Rameshwar, Prem Patel, Margarette Bryan, Steven J. Greco, Meneka A. Dave, Sarah A. Bliss, Philip K. Lim, Shyam A. Patel, Kelly E. Corcoran and Kathryn Packman and has published in prestigious journals such as Blood, PLoS ONE and Cancer Research.

In The Last Decade

Marcelo Taborga

9 papers receiving 587 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Marcelo Taborga United States	7	369	234	232	129	55	9	599
Young-Woo Sohn South Korea	9	366 1.0×	227 1.0×	182 0.8×	154 1.2×	60 1.1×	13	574
Sandeep N. Shah United States	13	449 1.2×	236 1.0×	103 0.4×	52 0.4×	47 0.9×	15	674
Ta Jen Liu United States	9	371 1.0×	113 0.5×	260 1.1×	107 0.8×	37 0.7×	9	652
Cecilia Dyberg Sweden	12	609 1.7×	272 1.2×	168 0.7×	110 0.9×	55 1.0×	20	878
Ewa Missol‐Kolka Germany	9	384 1.0×	126 0.5×	224 1.0×	33 0.3×	66 1.2×	12	643
Ryan Ward Canada	7	472 1.3×	105 0.4×	272 1.2×	140 1.1×	29 0.5×	11	667
Nico V. Henriquez United Kingdom	8	247 0.7×	98 0.4×	201 0.9×	111 0.9×	68 1.2×	9	491
Huarui Zheng China	8	232 0.6×	104 0.4×	125 0.5×	117 0.9×	29 0.5×	17	501
Yuexian Hu United States	7	213 0.6×	148 0.6×	191 0.8×	34 0.3×	27 0.5×	8	493
Laura Hasselbach United States	8	507 1.4×	274 1.2×	209 0.9×	177 1.4×	34 0.6×	13	691

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-authorship network of co-authors of Marcelo Taborga

This figure shows the co-authorship network connecting the top 25 collaborators of Marcelo Taborga. A scholar is included among the top collaborators of Marcelo Taborga based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Marcelo Taborga. Marcelo Taborga is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

1.

Sherman, Lauren S., Shyam A. Patel, Marianne D. Castillo, et al.. (2021). NFĸB Targeting in Bone Marrow Mesenchymal Stem Cell-Mediated Support of Age-Linked Hematological Malignancies. Stem Cell Reviews and Reports. 17(6). 2178–2192. 5 indexed citations

2.

Fuertes, Jairo N., et al.. (2019). A Training Program in Working Alliance Communication Skills. Medical Science Educator. 29(4). 987–994. 4 indexed citations

3.

Lim, Philip K., Sarah A. Bliss, Shyam A. Patel, et al.. (2011). Gap Junction–Mediated Import of MicroRNA from Bone Marrow Stromal Cells Can Elicit Cell Cycle Quiescence in Breast Cancer Cells. Cancer Research. 71(5). 1550–1560. 349 indexed citations

4.

Corcoran, Kelly E., Katarzyna A. Trzaska, Helen Fernandes, et al.. (2008). Mesenchymal Stem Cells in Early Entry of Breast Cancer into Bone Marrow. PLoS ONE. 3(6). e2563–e2563. 119 indexed citations

5.

Taborga, Marcelo, et al.. (2007). G-Coupled Protein Receptors and Breast Cancer Progression: Potential Drug Targets. Mini-Reviews in Medicinal Chemistry. 7(3). 245–251. 13 indexed citations

6.

Ramkissoon, Shakti, Prem Patel, Marcelo Taborga, & Pranela Rameshwar. (2007). Nuclear Factor-κB Is Central to the Expression of Truncated Neurokinin-1 Receptor in Breast Cancer: Implication for Breast Cancer Cell Quiescence within Bone Marrow Stroma. Cancer Research. 67(4). 1653–1659. 33 indexed citations

7.

Greco, Steven J., et al.. (2007). Tac1 regulation by RNA-binding protein and miRNA in bone marrow stroma: Implication for hematopoietic activity. Brain Behavior and Immunity. 22(4). 442–450. 10 indexed citations

8.

Ramkissoon, Shakti, Hiral Patel, Marcelo Taborga, & Pranela Rameshwar. (2006). G protein-coupled receptors in haematopoietic disruption. Expert Opinion on Biological Therapy. 6(2). 109–120. 16 indexed citations

9.

Taborga, Marcelo, et al.. (2006). SDF-1α regulation in breast cancer cells contacting bone marrow stroma is critical for normal hematopoiesis. Blood. 108(10). 3245–3252. 50 indexed citations

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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