Brandon D. Fields

701 citations
10 papers · 437 · h-index 9

Impact in

  • Aging top 2%
    • Genetics, Aging, and Longevity in Model Organisms
    • CRISPR and Genetic Engineering
    • RNA Research and Splicing
    • RNA modifications and cancer
    • Epigenetics and DNA Methylation
    • Genomics and Chromatin Dynamics
    • RNA and protein synthesis mechanisms

Papers in

    • Genetics, Aging, and Longevity in Model Organisms 5
    • CRISPR and Genetic Engineering 6
    • RNA Research and Splicing 3
    • Genomics and Chromatin Dynamics 2
    • Heat shock proteins research 1

Brandon D. Fields

9 papers receiving 436 citations

Peers

Brandon D. Fields
Comparison fields: 5 of 52
  • Aging 174
  • Molecular Biology 360
  • Plant Science 90
  • Genetics 49
  • Cancer Research 22
Replace Chih-Yung Sean Lee with:
Chih-Yung Sean Lee United States
Antoine Baudrimont Austria
Ahmet Rasit Ozturk United States
Sandro Baldi Germany
ChangHwan Lee United States
Sarit Smolikove United States
George Spracklin United States
Aimee Jaramillo-Lambert United States
Eric Cornes France
Iskra Katic Switzerland
Brandon D. Fields relative to Chih-Yung Sean Lee United States Chih-Yung Sean Lee's profile →
Citations per field
00.5×2×4×6×8×
Chih-Yung Sean Lee · 1×
Citations per year

Countries citing papers authored by Brandon D. Fields

Since Specialization
Citations

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

Fields of papers citing papers by Brandon D. Fields

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brandon D. Fields. 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 Brandon D. Fields. The network helps show where Brandon D. Fields may publish in the future.

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 2018148
2 2017100
3 201235
4 201834
5 201931
6 202429
7 202323
8 201920
9 202117
10 20250

About Brandon D. Fields

Brandon D. Fields is a scholar working on Aging, Molecular Biology, Plant Science, Cell Biology and Physiology, having authored 10 papers that have together received 437 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (6 papers), Genetics, Aging, and Longevity in Model Organisms (5 papers), Chromosomal and Genetic Variations (3 papers), RNA Research and Splicing (3 papers), Genomics and Chromatin Dynamics (2 papers), Heat shock proteins research (1 paper), Bacterial Genetics and Biotechnology (1 paper) and Plant-Microbe Interactions and Immunity (1 paper). The work is most often cited by research in Aging (174 citations), Molecular Biology (360 citations), Plant Science (90 citations), Genetics (49 citations) and Cancer Research (22 citations). Brandon D. Fields has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Scott G. Kennedy, Gang Wan, Aditi Shukla, George Spracklin, Carolyn M. Phillips, Guy Nir, Son C. Nguyen, Roberto Perales, Arneet L. Saltzman and Christopher A. Voigt. Their work appears in journals such as Genetics, eLife, Cell Systems, Nature Communications and The EMBO Journal.

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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