Heather Van Epps

868 citations
17 papers · 328 · h-index 8

Impact in

Papers in

    • Glycosylation and Glycoproteins Research 2
    • CAR-T cell therapy research 2
    • HER2/EGFR in Cancer Research 2

Heather Van Epps

14 papers receiving 302 citations

Peers

Heather Van Epps
Comparison fields: 5 of 102
  • Statistics, Probability and Uncertainty 148
  • Information Systems and Management 40
  • Geriatrics and Gerontology 11
  • Aging 6
  • History and Philosophy of Science 15
Replace Noah Moxham with:
Noah Moxham United Kingdom
Koen Vermeir France
Elizabeth Marincola United States
Pascale Bourret France
Fedérico Vasen Argentina
Eliot Marshall Netherlands
Susan Gardner Australia
Sally Hughes New Zealand
Chris Christie United Kingdom
A. Cornelius Benjamin
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Citations per field
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Citations per year

Countries citing papers authored by Heather Van Epps

Since Specialization
Citations

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

Fields of papers citing papers by Heather Van Epps

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Heather Van Epps. 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 Heather Van Epps. The network helps show where Heather Van Epps may publish in the future.

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2007168
2 202265
3 200828
4 201017
5 201112
6 20199
7 20187
8 20077
9 20154
10 20174
11 20212
12 20212
13 20242
14 20121
15 20240
16 20180
17
Show me the data.
20090

About Heather Van Epps

Heather Van Epps is a scholar working on Molecular Biology, Oncology, Radiology, Nuclear Medicine and Imaging, Hematology and Public Health, Environmental and Occupational Health, having authored 17 papers that have together received 328 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (4 papers), Multiple Myeloma Research and Treatments (4 papers), Glycosylation and Glycoproteins Research (2 papers), Diversity and Career in Medicine (2 papers), CAR-T cell therapy research (2 papers), HER2/EGFR in Cancer Research (2 papers), Chromosomal and Genetic Variations (2 papers) and Sex and Gender in Healthcare (2 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (148 citations), Information Systems and Management (40 citations), Geriatrics and Gerontology (11 citations), Aging (6 citations) and History and Philosophy of Science (15 citations). Heather Van Epps has collaborated with scholars based in United States, South Africa and United Kingdom. Frequent co-authors include Emma Hill, Mike Rossner, Joan Marsh, Yaiza del Pozo Martín, Yishi Jin, Alexandr Goncharov, Yingchuan Qi, Gregory W. O’Neil, Martha E. Anderson and Jason Neale. Their work appears in journals such as Blood, The Journal of Cell Biology, ˜The œLancet. Gastroenterology & hepatology, Cancer Research and Journal of Clinical Oncology.

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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