Mónica Romero-López

1.3k citations
21 papers · 989 indexed · h-index 14
Topics
Mesenchymal stem cell research (9 papers)Cancer Cells and Metastasis (6 papers)3D Printing in Biomedical Research (5 papers)

In The Last Decade

Mónica Romero-López

20 papers receiving 979 citations

Peers

Mónica Romero-López
Comparison fields: 5 of 82
  • Biomedical Engineering 465
  • Molecular Biology 359
  • Oncology 251
  • Surgery 250
  • Genetics 170
Replace Chiara Arrigoni with:
Chiara Arrigoni Italy
Kathryn Futrega Australia
Ekaterina Kniazeva United States
Aránzazu Villasante United States
Nastaran Z. Kuhn United States
Ken Miyaguchi Japan
Jordan A. Whisler United States
Aron Parekh United States
Sarah Kimmina Germany
David D. Tran United States
Mónica Romero-López relative to Chiara Arrigoni Italy Chiara Arrigoni's profile →
Citations per field
00.5×1.5×2.4×
Chiara Arrigoni · 1×
Citations per year

Countries citing papers authored by Mónica Romero-López

Since Specialization
Citations

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

Fields of papers citing papers by Mónica Romero-López

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mónica Romero-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 Mónica Romero-López. The network helps show where Mónica Romero-López may publish in the future.

Co-authorship network of co-authors of Mónica Romero-López

This figure shows the co-authorship network connecting the top 25 collaborators of Mónica Romero-López. A scholar is included among the top collaborators of Mónica Romero-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 Mónica Romero-López. Mónica Romero-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
#WorkIndexed citations
1 7
2 7
3 31
4 37
5 38
6 5
7 28
8 70
9 8
10 32
11 20
12 26
13 32
14 0
15 112
16 97
17 11
18 305
19 82
20 38

About Mónica Romero-López

Mónica Romero-López is a scholar working on Genetics, Modeling and Simulation and Orthopedics and Sports Medicine, having authored 21 papers that have together received 989 indexed citations. Recurring topics across this work include Mesenchymal stem cell research (9 papers), Cancer Cells and Metastasis (6 papers) and 3D Printing in Biomedical Research (5 papers). The work is most often cited by research in Genetics (170 citations), Biomedical Engineering (465 citations) and Biomaterials (122 citations). Mónica Romero-López has collaborated with scholars based in United States, Finland and India. Frequent co-authors include Christopher C.W. Hughes, Steven C. George, Agua Sobrino, Duc T. T. Phan, Xiaolin Wang, Stephanie J. Hachey, Abraham P. Lee, Rupsa Datta, Enrico Gratton and Stuart B. Goodman. Their work appears in journals such as Journal of Clinical Oncology, Biomaterials and Development.

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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