Jelmar Quist

981 citations
22 papers · 259 · h-index 10

Impact in

    • Cancer Genomics and Diagnostics
    • Cancer Cells and Metastasis
    • Cancer Immunotherapy and Biomarkers
    • Cancer-related Molecular Pathways

Papers in

    • Cancer-related gene regulation 3
    • Wnt/β-catenin signaling in development and cancer 2
    • Epigenetics and DNA Methylation 2
    • Cancer Immunotherapy and Biomarkers 4
    • Cancer Cells and Metastasis 3

Jelmar Quist

21 papers receiving 252 citations

Peers

Jelmar Quist
Comparison fields: 5 of 60
  • Cancer Research 72
  • Oncology 102
  • Virology 11
  • Molecular Biology 127
  • Immunology 29
Replace Juxiang Huang with:
Juxiang Huang China
Amanda L. Robichaud United States
Xiaoji Cong China
Guanhua Wu China
Bo Kyung A. Seong United States
Renèe B. Schulz Australia
Laia Cubells Spain
Aili Yang China
Kevin Troulé Spain
Jun Yamamura Japan
Jelmar Quist relative to Juxiang Huang China Juxiang Huang's profile →
Citations per field
00.5×5.9×
Juxiang Huang · 1×
Citations per year

Countries citing papers authored by Jelmar Quist

Since Specialization
Citations

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

Fields of papers citing papers by Jelmar Quist

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201939
2 202131
3 201531
4 201623
5 201623
6 201820
7 201519
8 202017
9 202112
10 202211
11 19799
12 20168
13 20233
14 20243
15 20243
16 20232
17 20191
18 20161
19 20211
20 20201

About Jelmar Quist

Jelmar Quist is a scholar working on Molecular Biology, Oncology, Cancer Research, Pulmonary and Respiratory Medicine and Genetics, having authored 22 papers that have together received 259 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (7 papers), BRCA gene mutations in cancer (4 papers), Cancer Immunotherapy and Biomarkers (4 papers), Cancer Cells and Metastasis (3 papers), Cancer-related gene regulation (3 papers), Breast Cancer Treatment Studies (2 papers), Wnt/β-catenin signaling in development and cancer (2 papers) and Epigenetics and DNA Methylation (2 papers). The work is most often cited by research in Cancer Research (72 citations), Oncology (102 citations), Virology (11 citations), Molecular Biology (127 citations) and Immunology (29 citations). Jelmar Quist has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Anita Grigoriadis, Andrew Tutt, Franca Fraternali, Michael H. Malim, Joseph Ng, Johan Staaf, Maggie C.U. Cheang, Gabriel J. Starrett, Michael A. Carpenter and Melinda L. Telli. Their work appears in journals such as Cancer Research, European Journal of Cancer, Cancers, npj Breast Cancer and Molecular Cancer Therapeutics.

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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