Heather E. Upton

1.2k citations
19 papers · 888 · h-index 14

Impact in

Papers in

    • DNA Repair Mechanisms 5
    • Advanced biosensing and bioanalysis techniques 4
    • RNA modifications and cancer 4
    • RNA and protein synthesis mechanisms 3
    • Protist diversity and phylogeny 3
    • RNA Research and Splicing 3
    • Telomeres, Telomerase, and Senescence 4

Heather E. Upton

18 papers receiving 883 citations

Peers

Heather E. Upton
Comparison fields: 5 of 82
  • Aging 45
  • Virology 72
  • Physiology 272
  • Molecular Biology 677
  • Biochemistry 55
Replace Inge Perschil with:
Inge Perschil Germany
Ralf Egner Austria
Yeon‐Gil Kim South Korea
Sakae Kitada Japan
Karin Hjalmarsson Sweden
T.A.C.B. Souza Brazil
Guido Dieterich Germany
Bart W. Swinkels Netherlands
Blagojce Jovcevski‬ Australia
Xiaomei He China
Heather E. Upton relative to Inge Perschil Germany Inge Perschil's profile →
Citations per field
00.5×10.3×
Inge Perschil · 1×
Citations per year

Countries citing papers authored by Heather E. Upton

Since Specialization
Citations

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

Fields of papers citing papers by Heather E. Upton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2010196
2 2017158
3 2015128
4 201275
5 201364
6 201143
7 202140
8 201531
9 201329
10 201327
11 202325
12 201622
13 201218
14 201418
15 20225
16 20115
17 20253
18 20241
19 20250

About Heather E. Upton

Heather E. Upton is a scholar working on Molecular Biology, Physiology, Biotechnology, Plant Science and Materials Chemistry, having authored 19 papers that have together received 888 indexed citations. Recurring topics across this work include DNA Repair Mechanisms (5 papers), Advanced biosensing and bioanalysis techniques (4 papers), Telomeres, Telomerase, and Senescence (4 papers), RNA modifications and cancer (4 papers), Cancer Research and Treatments (3 papers), RNA and protein synthesis mechanisms (3 papers), Protist diversity and phylogeny (3 papers) and RNA Research and Splicing (3 papers). The work is most often cited by research in Aging (45 citations), Virology (72 citations), Physiology (272 citations), Molecular Biology (677 citations) and Biochemistry (55 citations). Heather E. Upton has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Kathleen Collins, R. Alex Wu, Jacob M. Vogan, Mamta Rawat, Gerald L. Newton, Robert C. Fahey, Al Claiborne, Derek Parsonage, Haike Antelmann and John D. Helmann. Their work appears in journals such as Proceedings of the National Academy of Sciences, Molecular and Cellular Biology, Journal of Biological Chemistry, eLife and Nature Methods.

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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