Nathaniel Boyd

744 citations
13 papers · 474 · h-index 9

Impact in

    • Cancer, Hypoxia, and Metabolism
    • MicroRNA in disease regulation
  • Genetics top 10%
    • Glioma Diagnosis and Treatment

Papers in

    • Epigenetics and DNA Methylation 3
    • Ubiquitin and proteasome pathways 1
    • Melanoma and MAPK Pathways 1
    • Glioma Diagnosis and Treatment 3

Nathaniel Boyd

13 papers receiving 471 citations

Peers

Nathaniel Boyd
Comparison fields: 5 of 70
  • Cancer Research 131
  • Genetics 81
  • Cell Biology 67
  • Immunology 77
  • Molecular Biology 252
Replace Tracy J. Berg with:
Tracy J. Berg United States
Uroš Rajčević Slovenia
Yuk Kien Chong Singapore
Gilbert J. Rahme United States
Nathalie Baeza-Kallee France
Xiaoguang Hao Canada
Daniel Hägerstrand Sweden
Parvinder Hothi United States
Kirsten Ludwig United States
Lisa Nonnenmacher Germany
Nathaniel Boyd relative to Tracy J. Berg United States Tracy J. Berg's profile →
Citations per field
00.5×1.7×
Tracy J. Berg · 1×
Citations per year

Countries citing papers authored by Nathaniel Boyd

Since Specialization
Citations

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

Fields of papers citing papers by Nathaniel Boyd

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 2020161
2 202091
3 201484
4 201649
5 201128
6 201918
7 201517
8 201812
9 20159
10 20172
11 20231
12 20201
13 20201

About Nathaniel Boyd

Nathaniel Boyd is a scholar working on Molecular Biology, Genetics, Cell Biology, Cancer Research and Immunology, having authored 13 papers that have together received 474 indexed citations. Recurring topics across this work include Hippo pathway signaling and YAP/TAZ (3 papers), Epigenetics and DNA Methylation (3 papers), Glioma Diagnosis and Treatment (3 papers), Immune Cell Function and Interaction (2 papers), Cancer, Hypoxia, and Metabolism (2 papers), Ubiquitin and proteasome pathways (1 paper), Melanoma and MAPK Pathways (1 paper) and T-cell and B-cell Immunology (1 paper). The work is most often cited by research in Cancer Research (131 citations), Genetics (81 citations), Cell Biology (67 citations), Immunology (77 citations) and Molecular Biology (252 citations). Nathaniel Boyd has collaborated with scholars based in United States and Philippines. Frequent co-authors include Anita B. Hjelmeland, Anh Tran, Susanna F. Greer, G. Yancey Gillespie, Amber B. Jones, Joshua D. Bernstock, Gregory K. Friedman, Ercan Çaçan, Mourad W. Ali and Shelley B. Hooks. Their work appears in journals such as Neuro-Oncology, Clinical Cancer Research, Biomarker Research, Antioxidants and Redox Signaling and Epigenetics.

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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