Héctor Martínez

1.9k citations
18 papers · 749 · h-index 13

Impact in

Papers in

    • 3D Printing in Biomedical Research 4
    • Innovative Microfluidic and Catalytic Techniques Innovation 2
    • Pluripotent Stem Cells Research 4
    • CRISPR and Genetic Engineering 4
    • Renal and related cancers 2

Héctor Martínez

18 papers receiving 733 citations

Peers

Héctor Martínez
Comparison fields: 5 of 79
  • Automotive Engineering 108
  • Cell Biology 88
  • Biomedical Engineering 222
  • Endocrinology, Diabetes and Metabolism 71
  • Molecular Biology 281
Replace Nicholas M. Oyster with:
Nicholas M. Oyster United States
Meiyu Sun China
Cristina Borselli Italy
Darren J. Player United Kingdom
Cheryl Augustine Australia
Jennifer K. Lang United States
Birgit Geertz Germany
Kurt Pfannkuche Germany
Joachim Luginbühl Switzerland
Michel D. Gooden United States
Héctor Martínez relative to Nicholas M. Oyster United States Nicholas M. Oyster's profile →
Citations per field
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Citations per year

Countries citing papers authored by Héctor Martínez

Since Specialization
Citations

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

Fields of papers citing papers by Héctor Martínez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Héctor Martínez, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Héctor Martínez Line = papers co-authored together Héctor Martínez links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 2013135
2 2011134
3 2018121
4 201962
5 202049
6 201247
7 202136
8 202035
9 201832
10 201524
11 201818
12 201818
13 202216
14 202312
15 20187
16 20181
17 20171
18 20121

About Héctor Martínez

Héctor Martínez is a scholar working on Biomedical Engineering, Molecular Biology, Epidemiology, Endocrinology, Diabetes and Metabolism and Surgery, having authored 18 papers that have together received 749 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (4 papers), 3D Printing in Biomedical Research (4 papers), CRISPR and Genetic Engineering (4 papers), Pituitary Gland Disorders and Treatments (3 papers), Neurogenesis and neuroplasticity mechanisms (2 papers), Renal and related cancers (2 papers), Autophagy in Disease and Therapy (2 papers) and Innovative Microfluidic and Catalytic Techniques Innovation (2 papers). The work is most often cited by research in Automotive Engineering (108 citations), Cell Biology (88 citations), Biomedical Engineering (222 citations), Endocrinology, Diabetes and Metabolism (71 citations) and Molecular Biology (281 citations). Héctor Martínez has collaborated with scholars based in United States, Italy and South Korea. Frequent co-authors include Patrick Thayer, Ali Khademhosseini, David F. Williams, Dieter Egli, Scott Noggle, Robin Goland, Matthew Freeby, Rudolph L. Leibel, Matthew Zimmer and Paul Gatenholm. Their work appears in journals such as Stem Cell Research, Diabetes, Molecular Neurobiology, Journal of Neuro-Oncology and Frontiers in Molecular Neuroscience.

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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