Jordan Bryan

4.2k citations
15 papers · 382 · h-index 6

Impact in

    • Cancer Genomics and Diagnostics
    • Bioinformatics and Genomic Networks
    • RNA modifications and cancer
    • CRISPR and Genetic Engineering
    • RNA Research and Splicing
    • Ubiquitin and proteasome pathways
    • Protein Degradation and Inhibitors
    • Gene expression and cancer classification

Papers in

Jordan Bryan

14 papers receiving 352 citations

Peers

Jordan Bryan
Comparison fields: 5 of 117
  • Cancer Research 64
  • Molecular Biology 200
  • Oncology 47
  • Computational Theory and Mathematics 20
  • Management Information Systems 11
Replace Arnab Mitra with:
Arnab Mitra India
Eugene Schaefer United States
Paola Lecca Italy
Thibault Helleputte Belgium
Bryan Beresford‐Smith Australia
Mei Ling Huang Canada
Liujun Wang China
Theodore C. Goldstein United States
C. Matthias Germany
Lev B. Klebanov Czechia
Jordan Bryan relative to Arnab Mitra India Arnab Mitra's profile →
Citations per field
00.5×1.5×
Arnab Mitra · 1×
Citations per year

Countries citing papers authored by Jordan Bryan

Since Specialization
Citations

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

Fields of papers citing papers by Jordan Bryan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2018218
2 196185
3 195328
4 195514
5 200613
6 201712
7 20233
8 20212
9 19672
10 20211
11 20241
12 20241
13 20201
14 20201
15 20250

About Jordan Bryan

Jordan Bryan is a scholar working on Molecular Biology, Artificial Intelligence, Genetics, Cancer Research and Signal Processing, having authored 15 papers that have together received 382 indexed citations. Recurring topics across this work include Gene expression and cancer classification (3 papers), BRCA gene mutations in cancer (2 papers), Cancer Genomics and Diagnostics (2 papers), Bioinformatics and Genomic Networks (2 papers), Alzheimer's disease research and treatments (1 paper), Water Quality Monitoring Technologies (1 paper), Marine and coastal ecosystems (1 paper) and Genomics and Phylogenetic Studies (1 paper). The work is most often cited by research in Cancer Research (64 citations), Molecular Biology (200 citations), Oncology (47 citations), Computational Theory and Mathematics (20 citations) and Management Information Systems (11 citations). Jordan Bryan has collaborated with scholars based in United States and Lebanon. Frequent co-authors include George P. Wadsworth, A. Cemal Eringen, William C. Hahn, Thomas Green, Jesse S. Boehm, John M. Krill-Burger, Joshua M. Dempster, Aviad Tsherniak, David E. Root and James M. McFarland. Their work appears in journals such as Geophysics, Alzheimer s & Dementia, Journal of Applied Mechanics, Nature Communications and Journal of Multivariate Analysis.

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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