Jason A. Lowry

1.2k citations
16 papers · 956 · h-index 12

Impact in

    • Angiogenesis and VEGF in Cancer
    • Developmental Biology and Gene Regulation
    • Genomics and Chromatin Dynamics
    • Bioinformatics and Genomic Networks
    • Congenital heart defects research
    • Virus-based gene therapy research

Papers in

    • Protein Structure and Dynamics 2
    • Genomics and Chromatin Dynamics 2
    • Bioinformatics and Genomic Networks 2
    • Fungal and yeast genetics research 1
    • Hemoglobin structure and function 1

Jason A. Lowry

16 papers receiving 911 citations

Peers

Jason A. Lowry
Comparison fields: 5 of 61
  • Molecular Biology 312
  • Genetics 62
  • Physiology 7
  • Plant Science 64
  • Developmental Neuroscience 4
Replace Kenshiro Hara with:
Kenshiro Hara Japan
Yanqiu Hu China
Zhichen Guan China
Jonathan M. Levin France
Kelwyn Thomas United States
Nilufar M. Inamdar United States
Lan‐Tao Gou China
Donald A. Lehn United States
Philip Olsen United States
Mary-Ann A. Mastrangelo United States
Jason A. Lowry relative to Kenshiro Hara Japan Kenshiro Hara's profile →
Citations per field
00.5×1.5×2.2×
Kenshiro Hara · 1×
Citations per year

Countries citing papers authored by Jason A. Lowry

Since Specialization
Citations

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

Fields of papers citing papers by Jason A. Lowry

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jason A. Lowry. 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 Jason A. Lowry. The network helps show where Jason A. Lowry may publish in the future.

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2000274
2 1995176
3 1996129
4 1996120
5 200769
6 200544
7 200633
8 200728
9 201319
10 200817
11 200714
12 201314
13 20087
14 19955
15 20094
16 20083

About Jason A. Lowry

Jason A. Lowry is a scholar working on Molecular Biology, Cell Biology, Surgery, Nuclear Energy and Engineering and Waste Management and Disposal, having authored 16 papers that have together received 956 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (2 papers), Genomics and Chromatin Dynamics (2 papers), Bioinformatics and Genomic Networks (2 papers), Fungal and yeast genetics research (1 paper), Hemoglobin structure and function (1 paper) and Peripheral Artery Disease Management (1 paper). The work is most often cited by research in Molecular Biology (312 citations), Genetics (62 citations), Physiology (7 citations), Plant Science (64 citations) and Developmental Neuroscience (4 citations). Jason A. Lowry has collaborated with scholars based in Australia, United States and New Zealand. Frequent co-authors include William R. Atchley, Joel P. Mackay, Kenneth Walsh, Kenneth Rosenfield, James F. Symes, Satoshi Takeshita, Ann Pieczek, Lawrence Weir, Edi Brogi and Jeffrey M. Isner. Their work appears in journals such as Journal of Biological Chemistry, Trends in Biochemical Sciences, Human Gene Therapy, Protein Expression and Purification and Genomics.

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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