Joan García‐López

1.4k total citations · 1 hit paper
20 papers, 1.1k citations indexed

About

Joan García‐López is a scholar working on Genetics, Hematology and Oncology. According to data from OpenAlex, Joan García‐López has authored 20 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Genetics, 7 papers in Hematology and 6 papers in Oncology. Recurrent topics in Joan García‐López's work include Mesenchymal stem cell research (10 papers), Hematopoietic Stem Cell Transplantation (7 papers) and Cancer Cells and Metastasis (3 papers). Joan García‐López is often cited by papers focused on Mesenchymal stem cell research (10 papers), Hematopoietic Stem Cell Transplantation (7 papers) and Cancer Cells and Metastasis (3 papers). Joan García‐López collaborates with scholars based in Spain, United States and France. Joan García‐López's co-authors include RJ Berenson, ID Bernstein, Jack W. Singer, Gary Spitzer, R.S. Hill, RG Andrews, CD Buckner, Jordi Pétriz, Joaquim Vives and Margarita Codinach and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and The Lancet Oncology.

In The Last Decade

Joan García‐López

20 papers receiving 1.0k citations

Hit Papers

Engraftment after infusion of CD34+ marrow cells in patie... 1991 2026 2002 2014 1991 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joan García‐López Spain 14 510 337 263 259 210 20 1.1k
M.C. del Cañizo Spain 19 632 1.2× 723 2.1× 228 0.9× 254 1.0× 152 0.7× 51 1.4k
Robert Emmons United States 17 375 0.7× 331 1.0× 209 0.8× 617 2.4× 334 1.6× 30 1.4k
Alison Rice Australia 17 433 0.8× 373 1.1× 258 1.0× 429 1.7× 248 1.2× 50 1.2k
B. A. Bradley United Kingdom 17 445 0.9× 665 2.0× 320 1.2× 332 1.3× 149 0.7× 56 1.4k
Albrecht Leo Germany 19 265 0.5× 224 0.7× 555 2.1× 478 1.8× 238 1.1× 40 1.5k
Soraya Carrancio Spain 15 386 0.8× 380 1.1× 160 0.6× 298 1.2× 143 0.7× 33 1.0k
María L. Lamana Spain 15 345 0.7× 863 2.6× 207 0.8× 383 1.5× 269 1.3× 27 1.4k
Camillo Almici Italy 19 502 1.0× 248 0.7× 123 0.5× 314 1.2× 330 1.6× 72 1.1k
Melissa van Pel Netherlands 17 229 0.4× 322 1.0× 257 1.0× 311 1.2× 201 1.0× 47 1.0k
Brigitta Omazic Sweden 13 585 1.1× 773 2.3× 289 1.1× 258 1.0× 338 1.6× 19 1.5k

Countries citing papers authored by Joan García‐López

Since Specialization
Citations

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

Fields of papers citing papers by Joan García‐López

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joan García‐López. 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 Joan García‐López. The network helps show where Joan García‐López may publish in the future.

Co-authorship network of co-authors of Joan García‐López

This figure shows the co-authorship network connecting the top 25 collaborators of Joan García‐López. A scholar is included among the top collaborators of Joan García‐López 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 Joan García‐López. Joan García‐López 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.
4.
Coll, Ruth, Miquel Adrover, Joan García‐López, et al.. (2020). Randomized clinical trial: expanded autologous bone marrow mesenchymal cells combined with allogeneic bone tissue, compared with autologous iliac crest graft in lumbar fusion surgery. The Spine Journal. 20(12). 1899–1910. 30 indexed citations
5.
Oliver‐Vila, Irene, et al.. (2020). Evaluation of a cell-based osteogenic formulation compliant with good manufacturing practice for use in tissue engineering. Molecular Biology Reports. 47(7). 5145–5154. 6 indexed citations
6.
Rodrı́guez, Luciano, Margarita Codinach, Susana Gómez, et al.. (2019). Compliance with Good Manufacturing Practice in the Assessment of Immunomodulation Potential of Clinical Grade Multipotent Mesenchymal Stromal Cells Derived from Wharton’s Jelly. Cells. 8(5). 484–484. 27 indexed citations
7.
Rodrı́guez, Luciano, David Vivas, Margarita Codinach, et al.. (2018). Levels of IL-17F and IL-33 correlate with HLA-DR activation in clinical-grade human bone marrow–derived multipotent mesenchymal stromal cell expansion cultures. Cytotherapy. 21(1). 32–40. 20 indexed citations
8.
Codinach, Margarita, Irene Oliver‐Vila, Valentín Cabañas, et al.. (2017). Assessment of biodistribution using mesenchymal stromal cells: Algorithm for study design and challenges in detection methodologies. Cytotherapy. 19(9). 1060–1069. 15 indexed citations
11.
García‐López, Joan, et al.. (2016). Qualification of Computerized Monitoring Systems in a Cell Therapy Facility Compliant with the Good Manufacturing Practices. Regenerative Medicine. 11(6). 521–528. 2 indexed citations
12.
Carreño, Ana, Irene Oliver‐Vila, Margarita Codinach, et al.. (2016). Clinical translation of a mesenchymal stromal cell-based therapy developed in a large animal model and two case studies of the treatment of atrophic pseudoarthrosis. Journal of Tissue Engineering and Regenerative Medicine. 12(1). e532–e540. 14 indexed citations
13.
Eapen, Mary, John P. Klein, Guillermo Sanz, et al.. (2011). Effect of donor–recipient HLA matching at HLA A, B, C, and DRB1 on outcomes after umbilical-cord blood transplantation for leukaemia and myelodysplastic syndrome: a retrospective analysis. The Lancet Oncology. 12(13). 1214–1221. 134 indexed citations
14.
Pétriz, Jordi, et al.. (1997). Is Rhodamine 123 an Appropriate Fluorescent Probe to Assess P‐Glycoprotein Mediated Multidrug Resistance in Vinblastine‐Resistant CHO Cells?. Analytical Cellular Pathology. 14(3). 129–140. 11 indexed citations
15.
Gallardo, David, Joan García‐López, Anna Sureda, et al.. (1997). Low-dose donor CD8+ cells in the CD4-depleted graft prevent allogeneic marrow graft rejection and severe graft-versus-host disease for chronic myeloid leukemia patients in first chronic phase. Bone Marrow Transplantation. 20(11). 945–952. 30 indexed citations
16.
Pétriz, Jordi & Joan García‐López. (1997). Flow cytometric analysis of P-glycoprotein function using rhodamine 123. Leukemia. 11(7). 1124–1130. 74 indexed citations
17.
Cancelas, José A., Sergio Querol, Carme Saurina, et al.. (1995). CD34+ Cell Positive Selection from Mobilized Peripheral Blood by an Indirect Immunomagnetic Method: Effect of the Type of Mobilization and Assessment of Tumor Depletion Ability. Journal of Hematotherapy. 4(6). 531–538. 18 indexed citations
18.
Berenson, RJ, Jack W. Singer, R.S. Hill, et al.. (1991). Engraftment after infusion of CD34+ marrow cells in patients with breast cancer or neuroblastoma. Blood. 77(8). 1717–1722. 455 indexed citations breakdown →
19.
Berenson, RJ, Jack W. Singer, R.S. Hill, et al.. (1991). Engraftment after infusion of CD34+ marrow cells in patients with breast cancer or neuroblastoma. Blood. 77(8). 1717–1722. 30 indexed citations
20.
Berenson, RJ, Bensinger Wi, Robert Hill, et al.. (1990). Stem cell selection--clinical experience.. PubMed. 333. 403–10; discussion 411. 16 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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