Julia E. Heyman

773 citations
3 papers · 556 · 1 hit paper · h-index 2

Impact in

    • Cancer, Hypoxia, and Metabolism
    • Cancer, Lipids, and Metabolism
  • Biochemistry top 10%
    • Amino Acid Enzymes and Metabolism

Papers in

Julia E. Heyman

3 papers receiving 551 citations

Julia E. Heyman's Hit Papers

Environment Impacts the Metabolic Dependencies of Ras-Driven Non-Small Cell Lung Cancer 2016 · 554 citations
5540+3+6Years since publication100200300400500

Peers

Julia E. Heyman
Comparison fields: 5 of 51
  • Cancer Research 421
  • Biochemistry 47
  • Molecular Biology 432
  • Biotechnology 37
  • Oncology 77
Replace Mari B. Ishak Gabra with:
Mari B. Ishak Gabra United States
Rahul Reddy United States
Annette Vu United States
Xiaolei Shi United States
Lutfi Alfarsi United Kingdom
Vamsi Krishna Kolukula United States
Valérie Vial France
Lara Sala Danna Italy
Christoph Wohlkoenig Austria
Kelly G. Bryant United States
Julia E. Heyman relative to Mari B. Ishak Gabra United States Mari B. Ishak Gabra's profile →
Citations per field
00.5×10×20×30×40×45×
Mari B. Ishak Gabra · 1×
Citations per year

Countries citing papers authored by Julia E. Heyman

Since Specialization
Citations

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

Fields of papers citing papers by Julia E. Heyman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Julia E. Heyman. 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 Julia E. Heyman. The network helps show where Julia E. Heyman may publish in the future.

Co-authors

The 18 scholars most cited alongside Julia E. Heyman, 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 Julia E. Heyman Line = papers co-authored together Julia E. Heyman links everyone, so they are left out of the graph.

All Works

3 of 3 papers shown
#Work
1
Environment Impacts the Metabolic Dependencies of Ras-Driven Non-Small Cell Lung Cancer
Hit paper breakdown →
2016554
2
Antimicrobial drugstore supply for Cambodianlivestock farmers
20201
3 20171

About Julia E. Heyman

Julia E. Heyman is a scholar working on Molecular Biology, Occupational Therapy, Pathology and Forensic Medicine, Pollution and Public Health, Environmental and Occupational Health, having authored 3 papers that have together received 556 indexed citations. Recurring topics across this work include Gaze Tracking and Assistive Technology (1 paper), Metabolism, Diabetes, and Cancer (1 paper), Cancer, Hypoxia, and Metabolism (1 paper), Metabolomics and Mass Spectrometry Studies (1 paper), Pharmaceutical Quality and Counterfeiting (1 paper), Spinal Cord Injury Research (1 paper), Assistive Technology in Communication and Mobility (1 paper) and Pharmaceutical and Antibiotic Environmental Impacts (1 paper). The work is most often cited by research in Cancer Research (421 citations), Biochemistry (47 citations), Molecular Biology (432 citations), Biotechnology (37 citations) and Oncology (77 citations). Julia E. Heyman has collaborated with scholars based in United States. Frequent co-authors include Mark A. Keibler, Thomas M. Wasylenko, Tyler Jacks, Matthew R. Bauer, Abhishek Jha, Thales Papagiannakopoulos, Alba Luengo, Kerry A. Pierce, Benjamin A. Olenchock and James P. O’Brien. Their work appears in journals such as Cell Metabolism.

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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