Gretchen Poortinga

3.7k citations
32 papers · 2.9k · h-index 22

Impact in

    • RNA modifications and cancer
    • RNA and protein synthesis mechanisms
    • RNA Research and Splicing
    • Genomics and Chromatin Dynamics
    • Ubiquitin and proteasome pathways
    • PI3K/AKT/mTOR signaling in cancer
    • Cancer-related gene regulation
    • DNA Repair Mechanisms
  • Oncology top 5%

Papers in

    • Genomics and Chromatin Dynamics 8
    • RNA modifications and cancer 7
    • Ubiquitin and proteasome pathways 6
    • CRISPR and Genetic Engineering 4
    • Protein Degradation and Inhibitors 4
    • DNA Repair Mechanisms 4
    • RNA Research and Splicing 4

Gretchen Poortinga

32 papers receiving 2.9k citations

Peers

Gretchen Poortinga
Comparison fields: 5 of 123
  • Molecular Biology 2.4k
  • Oncology 546
  • Aging 32
  • Cancer Research 197
  • Cell Biology 155
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Citations per field
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Citations per year

Countries citing papers authored by Gretchen Poortinga

Since Specialization
Citations

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

Fields of papers citing papers by Gretchen Poortinga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012471
2 2003379
3 2011212
4 1998205
5 2020177
6 2008172
7 2019157
8 2004155
9 2015100
10 201999
11 200890
12 201686
13 201082
14 201773
15 201469
16 199768
17 201758
18 201257
19 201737
20 201934

About Gretchen Poortinga

Gretchen Poortinga is a scholar working on Molecular Biology, Hematology, Oncology, Pathology and Forensic Medicine and Genetics, having authored 32 papers that have together received 2.9k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (8 papers), RNA modifications and cancer (7 papers), Ubiquitin and proteasome pathways (6 papers), CRISPR and Genetic Engineering (4 papers), Protein Degradation and Inhibitors (4 papers), Lymphoma Diagnosis and Treatment (4 papers), DNA Repair Mechanisms (4 papers) and RNA Research and Splicing (4 papers). The work is most often cited by research in Molecular Biology (2.4k citations), Oncology (546 citations), Aging (32 citations), Cancer Research (197 citations) and Cell Biology (155 citations). Gretchen Poortinga has collaborated with scholars based in Australia, United States and Spain. Frequent co-authors include Ross D. Hannan, Grant A. McArthur, Richard B. Pearson, Katherine M. Hannan, Susan M. Parkhurst, Kerith Sharkey, Meaghan Wall, Elaine Sanij, Anna Jenkins and Yves Brandenburger. Their work appears in journals such as Blood, Cancer Discovery, The EMBO Journal, Nature Communications and Proceedings of the National Academy of Sciences.

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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