Marcela Salgado

968 total citations · 1 hit paper
7 papers, 750 citations indexed

About

Marcela Salgado is a scholar working on Rehabilitation, Genetics and Dermatology. According to data from OpenAlex, Marcela Salgado has authored 7 papers receiving a total of 750 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Rehabilitation, 3 papers in Genetics and 2 papers in Dermatology. Recurrent topics in Marcela Salgado's work include Wound Healing and Treatments (5 papers), Mesenchymal stem cell research (3 papers) and Advanced Breast Cancer Therapies (2 papers). Marcela Salgado is often cited by papers focused on Wound Healing and Treatments (5 papers), Mesenchymal stem cell research (3 papers) and Advanced Breast Cancer Therapies (2 papers). Marcela Salgado collaborates with scholars based in United States and Panama. Marcela Salgado's co-authors include Evangelos V. Badiavas, Luis Rodriguez-Menocal, Arsalan Shabbir, Audrey Cox, Jill Waibel, José Alberto Bertot Valdés, Sandra C. Becerra, Robert J. Christy, Michael Solis and Joel C. Gill and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Stem Cell Research & Therapy.

In The Last Decade

Marcela Salgado

6 papers receiving 735 citations

Hit Papers

Mesenchymal Stem Cell Exosomes Induce Proliferation and M... 2015 2026 2018 2022 2015 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marcela Salgado United States 5 429 317 286 170 108 7 750
Audrey Cox United States 4 418 1.0× 197 0.6× 207 0.7× 171 1.0× 75 0.7× 4 612
Jinming Tang China 15 350 0.8× 199 0.6× 82 0.3× 211 1.2× 82 0.8× 35 720
Yangyang Cao China 18 427 1.0× 136 0.4× 266 0.9× 163 1.0× 144 1.3× 48 945
Chengliang Deng China 15 179 0.4× 264 0.8× 233 0.8× 52 0.3× 234 2.2× 85 709
Hyun-keun Kim South Korea 7 507 1.2× 121 0.4× 160 0.6× 161 0.9× 67 0.6× 10 730
Bingmin Li China 11 218 0.5× 201 0.6× 89 0.3× 88 0.5× 80 0.7× 14 515
Julin Xie China 15 200 0.5× 369 1.2× 123 0.4× 43 0.3× 108 1.0× 17 658
Austin Nuschke United States 8 167 0.4× 228 0.7× 266 0.9× 45 0.3× 88 0.8× 8 571
Tongzhu Sun China 13 214 0.5× 404 1.3× 260 0.9× 44 0.3× 163 1.5× 22 778
Claudia Chávez‐Muñoz Canada 14 240 0.6× 124 0.4× 72 0.3× 92 0.5× 160 1.5× 33 629

Countries citing papers authored by Marcela Salgado

Since Specialization
Citations

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

Fields of papers citing papers by Marcela Salgado

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marcela Salgado

This figure shows the co-authorship network connecting the top 25 collaborators of Marcela Salgado. A scholar is included among the top collaborators of Marcela Salgado 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 Marcela Salgado. Marcela Salgado is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
1.
Chumsri, Saranya, Chaitali Nangia, Minal Barve, et al.. (2025). Bria-IMT + checkpoint inhibitor: Phase I/II survival results compared to benchmark trials in metastatic breast cancer.. Journal of Clinical Oncology. 43(16_suppl). 1096–1096.
2.
Calfa, Carmen, Chaitali Nangia, Minal Barve, et al.. (2024). Outcomes of advanced/metastatic breast cancer (aMBC) treated with BRIA-IMT, an allogeneic whole cell immunotherapy.. Journal of Clinical Oncology. 42(16_suppl). 1022–1022. 1 indexed citations
3.
Rodriguez-Menocal, Luis, Sandra C. Becerra, Marcela Salgado, et al.. (2018). Assessment of Ablative Fractional CO2 Laser and Er:YAG Laser to Treat Hypertrophic Scars in a Red Duroc Pig Model. Journal of Burn Care & Research. 39(6). 954–962. 26 indexed citations
4.
Shabbir, Arsalan, Audrey Cox, Luis Rodriguez-Menocal, Marcela Salgado, & Evangelos V. Badiavas. (2015). Mesenchymal Stem Cell Exosomes Induce Proliferation and Migration of Normal and Chronic Wound Fibroblasts, and Enhance Angiogenesis In Vitro. Stem Cells and Development. 24(14). 1635–1647. 550 indexed citations breakdown →
5.
Rodriguez-Menocal, Luis, et al.. (2015). Role of whole bone marrow, whole bone marrow cultured cells, and mesenchymal stem cells in chronic wound healing. Stem Cell Research & Therapy. 6(1). 24–24. 81 indexed citations
6.
Rodriguez-Menocal, Luis, Marcela Salgado, Jill Waibel, et al.. (2014). Percutaneous Bone Marrow Transplantation Using Fractional Ablative Erbium:YAG Laser. PLoS ONE. 9(3). e93004–e93004. 14 indexed citations
7.
Rodriguez-Menocal, Luis, et al.. (2012). Stimulation of Skin and Wound Fibroblast Migration by Mesenchymal Stem Cells Derived from Normal Donors and Chronic Wound Patients. Stem Cells Translational Medicine. 1(3). 221–229. 78 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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