Jelmar Quist

1.1k citations
28 papers · 787 · h-index 15

Impact in

  • Oncology top 10%
    • Cancer Cells and Metastasis
    • Cancer Immunotherapy and Biomarkers
    • Peptidase Inhibition and Analysis
    • Cancer Genomics and Diagnostics

Papers in

    • Cancer Immunotherapy and Biomarkers 6
    • Cancer Cells and Metastasis 4
    • Cancer-related Molecular Pathways 3
    • Cancer Genomics and Diagnostics 4

Jelmar Quist

27 papers receiving 774 citations

Peers

Jelmar Quist
Comparison fields: 5 of 79
  • Oncology 272
  • Cancer Research 139
  • Pathology and Forensic Medicine 151
  • Immunology 110
  • Molecular Biology 327
Replace Xingling Zheng with:
Xingling Zheng China
Saravanan Thiyagarajan United States
Hiroshi Sootome Japan
Yi Hua Qiu United States
Ramona Wullenkord Germany
Suresh Bugide United States
Jiahuai Tan United States
Rebecca L. Lynch United States
Anne Paulien Drenth Netherlands
Iris Z. Uras Austria
Jelmar Quist relative to Xingling Zheng China Xingling Zheng's profile →
Citations per field
00.5×2×4×6×7.5×
Xingling Zheng · 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 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016205
2 202173
3 201670
4 202255
5 201851
6 201941
7 202135
8 202133
9 201533
10 201624
11 201622
12 201521
13 202020
14 201820
15 202118
16 202214
17 201311
18 19799
19 20168
20 20236

About Jelmar Quist

Jelmar Quist is a scholar working on Oncology, Cancer Research, Immunology, Cell Biology and Molecular Biology, having authored 28 papers that have together received 787 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (6 papers), Cancer Genomics and Diagnostics (4 papers), Cancer Cells and Metastasis (4 papers), Immunotherapy and Immune Responses (4 papers), Microtubule and mitosis dynamics (3 papers), Cancer-related gene regulation (3 papers), Epigenetics and DNA Methylation (3 papers) and Cancer-related Molecular Pathways (3 papers). The work is most often cited by research in Oncology (272 citations), Cancer Research (139 citations), Pathology and Forensic Medicine (151 citations), Immunology (110 citations) and Molecular Biology (327 citations). Jelmar Quist has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include Anita Grigoriadis, Andrew N.J. Tutt, Johan Staaf, Joseph Chi-Fung Ng, Michael H. Malim, Franca Fraternali, Maggie Chon U Cheang, Gabriel J. Starrett, Johan H. van Es and Qiong Gao. Their work appears in journals such as Cancer Research, European Journal of Cancer, npj Breast Cancer, Cancers and Acta Dermato Venereologica.

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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