Mario Gomez-Salazar

774 total citations
23 papers, 515 citations indexed

About

Mario Gomez-Salazar is a scholar working on Genetics, Molecular Biology and Surgery. According to data from OpenAlex, Mario Gomez-Salazar has authored 23 papers receiving a total of 515 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Genetics, 7 papers in Molecular Biology and 6 papers in Surgery. Recurrent topics in Mario Gomez-Salazar's work include Mesenchymal stem cell research (8 papers), Cancer Cells and Metastasis (5 papers) and Tissue Engineering and Regenerative Medicine (4 papers). Mario Gomez-Salazar is often cited by papers focused on Mesenchymal stem cell research (8 papers), Cancer Cells and Metastasis (5 papers) and Tissue Engineering and Regenerative Medicine (4 papers). Mario Gomez-Salazar collaborates with scholars based in United States, United Kingdom and Italy. Mario Gomez-Salazar's co-authors include Aaron W. James, Zoi Michailidou, Vasileia Ismini Alexaki, Bruno Péault, Qizhi Qin, Benjamin Lévi, Mihaela Crisan, Zaniah González, Seungyong Lee and Nirali M. Patel and has published in prestigious journals such as Nature Communications, Cancer Research and Developmental Cell.

In The Last Decade

Mario Gomez-Salazar

21 papers receiving 510 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mario Gomez-Salazar United States 11 148 126 115 89 84 23 515
Miriam Tschirschmann Germany 7 198 1.3× 210 1.7× 130 1.1× 47 0.5× 70 0.8× 8 573
Ruoxian Deng United States 12 207 1.4× 68 0.5× 104 0.9× 161 1.8× 50 0.6× 17 589
Andrew Freidin United Kingdom 11 274 1.9× 85 0.7× 150 1.3× 156 1.8× 119 1.4× 14 690
Johnny Huard United States 15 248 1.7× 173 1.4× 199 1.7× 90 1.0× 27 0.3× 31 600
Stefano Negri Italy 15 160 1.1× 100 0.8× 145 1.3× 128 1.4× 23 0.3× 43 588
Raghav Goyal United States 11 251 1.7× 228 1.8× 142 1.2× 47 0.5× 35 0.4× 17 543
Ning Kang China 14 172 1.2× 119 0.9× 138 1.2× 115 1.3× 31 0.4× 23 505
Kuixing Wang China 8 251 1.7× 218 1.7× 125 1.1× 36 0.4× 43 0.5× 9 547
Sayuri Hamano Japan 17 337 2.3× 193 1.5× 101 0.9× 103 1.2× 91 1.1× 45 726

Countries citing papers authored by Mario Gomez-Salazar

Since Specialization
Citations

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

Fields of papers citing papers by Mario Gomez-Salazar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mario Gomez-Salazar. 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 Mario Gomez-Salazar. The network helps show where Mario Gomez-Salazar may publish in the future.

Co-authorship network of co-authors of Mario Gomez-Salazar

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

All Works

20 of 20 papers shown
2.
González, Zaniah, Alastair M. Kilpatrick, Mario Gomez-Salazar, et al.. (2024). Runx1+ vascular smooth muscle cells are essential for hematopoietic stem and progenitor cell development in vivo. Nature Communications. 15(1). 1653–1653. 8 indexed citations
3.
Gomez-Salazar, Mario, et al.. (2024). Isolation of Perivascular Mesenchymal Progenitor Cells from Human Adipose Tissue by Flow Cytometry. Methods in molecular biology. 2783. 25–33. 1 indexed citations
4.
Wang, Yiyun, Mario Gomez-Salazar, Robert J. Tower, et al.. (2024). Integrated transcriptomics of human blood vessels defines a spatially controlled niche for early mesenchymal progenitor cells. Developmental Cell. 59(20). 2687–2703.e6. 2 indexed citations
5.
Wang, Yiyun, Amy Lu, Mario Gomez-Salazar, et al.. (2023). TIAM1 acts as an actin organization regulator to control adipose tissue–derived pericyte cell fate. JCI Insight. 8(13). 7 indexed citations
6.
Xu, Jiajia, Zhao Li, Robert J. Tower, et al.. (2023). TrkA-mediated sensory innervation of injured mouse tendon supports tendon sheath progenitor cell expansion and tendon repair. Science Translational Medicine. 15(727). eade4619–eade4619. 13 indexed citations
7.
Gomez-Salazar, Mario, Zhao Li, Stefano Negri, et al.. (2023). Tppp3+ synovial/tendon sheath progenitor cells contribute to heterotopic bone after trauma. Bone Research. 11(1). 39–39. 15 indexed citations
8.
Gomez-Salazar, Mario, Yiyun Wang, Niall M.B. Martin, et al.. (2023). Aldehyde Dehydrogenase, a Marker of Normal and Malignant Stem Cells, Typifies Mesenchymal Progenitors in Perivascular Niches. Stem Cells Translational Medicine. 12(7). 474–484. 7 indexed citations
9.
Qin, Qizhi, Mario Gomez-Salazar, Carol D. Morris, et al.. (2023). CNTNAP4 signaling regulates osteosarcoma disease progression. npj Precision Oncology. 7(1). 2–2.
10.
Hwang, Charles, Chase A. Pagani, Johanna Nunez, et al.. (2022). Contemporary perspectives on heterotopic ossification. JCI Insight. 7(14). 49 indexed citations
11.
Qin, Qizhi, Mario Gomez-Salazar, Chase A. Pagani, et al.. (2022). Neuron-to-vessel signaling is a required feature of aberrant stem cell commitment after soft tissue trauma. Bone Research. 10(1). 43–43. 25 indexed citations
12.
Kilpatrick, Alastair M., Mario Gomez-Salazar, Zaniah González, et al.. (2022). PDGFRβ+ cells play a dual role as hematopoietic precursors and niche cells during mouse ontogeny. Cell Reports. 40(3). 111114–111114. 18 indexed citations
13.
Qin, Qizhi, Mario Gomez-Salazar, Robert J. Tower, et al.. (2022). NELL1 Regulates the Matrisome to Promote Osteosarcoma Progression. Cancer Research. 82(15). 2734–2747. 14 indexed citations
14.
Qin, Qizhi, Seungyong Lee, Nirali M. Patel, et al.. (2022). Neurovascular coupling in bone regeneration. Experimental & Molecular Medicine. 54(11). 1844–1849. 100 indexed citations
15.
Xu, Jiajia, Yiyun Wang, Mario Gomez-Salazar, et al.. (2021). Bone-Forming Perivascular Cells: Cellular Heterogeneity and Use for Tissue Repair. Stem Cells. 39(11). 1427–1434. 9 indexed citations
16.
Gomez-Salazar, Mario, et al.. (2020). Five Decades Later, Are Mesenchymal Stem Cells Still Relevant?. Frontiers in Bioengineering and Biotechnology. 8. 148–148. 104 indexed citations
17.
Gomez-Salazar, Mario, Sarah Miller, Carolyn A. Meyers, et al.. (2019). Comparison of Human Tissue Microarray to Human Pericyte Transcriptome Yields Novel Perivascular Cell Markers. Stem Cells and Development. 28(18). 1214–1223. 11 indexed citations
18.
Vezzani, Bianca, et al.. (2019). Human Adipose Tissue Micro-fragmentation for Cell Phenotyping and Secretome Characterization. Journal of Visualized Experiments. 3 indexed citations
19.
Vezzani, Bianca, et al.. (2019). Human Adipose Tissue Micro-fragmentation for Cell Phenotyping and Secretome Characterization. Journal of Visualized Experiments. 9 indexed citations
20.
Thomas, J., Anna Williams, Matthieu Vermeren, et al.. (2017). TCR-stimulated changes in cell surface CD46 expression generate type 1 regulatory T cells. Science Signaling. 10(502). 26 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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