Bridget Martinez

1.3k citations
54 papers · 1.0k · h-index 20

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
  • Neurology top 10%
    • Neuroinflammation and Neurodegeneration Mechanisms

Papers in

Bridget Martinez

53 papers receiving 1.0k citations

Peers

Bridget Martinez
Comparison fields: 5 of 104
  • Cancer Research 322
  • Neurology 121
  • Developmental Neuroscience 39
  • Biological Psychiatry 22
  • Molecular Biology 495
Replace Yingbin Ge with:
Yingbin Ge China
Valbona Mirakaj Germany
Guanhu Yang China
James M. Dominguez United States
Flora Brozzi Switzerland
Jea-Young Lee United States
Peng Su China
Shanquan Sun China
Zhi Xiao China
Bridget Martinez relative to Yingbin Ge China Yingbin Ge's profile →
Citations per field
00.5×1.5×1.9×
Yingbin Ge · 1×
Citations per year

Countries citing papers authored by Bridget Martinez

Since Specialization
Citations

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

Fields of papers citing papers by Bridget Martinez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Bridget Martinez, 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 Bridget Martinez Line = papers co-authored together Bridget Martinez links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201993
2 201972
3 201763
4 201859
5 201754
6 201750
7 201842
8 201636
9 201634
10 198730
11 201727
12 201926
13 202125
14 201724
15 202223
16 202023
17 201323
18 202020
19 202119
20 201719

About Bridget Martinez

Bridget Martinez is a scholar working on Cancer Research, Molecular Biology, Physiology, Endocrinology, Diabetes and Metabolism and Neurology, having authored 54 papers that have together received 1.0k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (16 papers), Thyroid Disorders and Treatments (9 papers), Adipose Tissue and Metabolism (9 papers), Growth Hormone and Insulin-like Growth Factors (6 papers), Circular RNAs in diseases (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Extracellular vesicles in disease (5 papers) and Alzheimer's disease research and treatments (4 papers). The work is most often cited by research in Cancer Research (322 citations), Neurology (121 citations), Developmental Neuroscience (39 citations), Biological Psychiatry (22 citations) and Molecular Biology (495 citations). Bridget Martinez has collaborated with scholars based in United States, New Zealand and Grenada. Frequent co-authors include PhilipV Peplow, Rudy M. Ortiz, Philip V. Peplow, Brian Lake, Daniel E. Crocker, José G. Soñanez‐Organis, Yongchao Yang, David Mascareñas, Daisuke Nakano and Moisés Silva. Their work appears in journals such as Neural Regeneration Research, The FASEB Journal, American Journal of Physiology-Regulatory, Integrative and Comparative Physiology, Journal of Sound and Vibration and Journal of Parkinson s Disease.

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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