Oliver Broom

1.4k citations
13 papers · 900 indexed · h-index 9

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Cancer, Hypoxia, and Metabolism
    • RNA Interference and Gene Delivery
    • Circular RNAs in diseases
    • Advanced biosensing and bioanalysis techniques
    • RNA modifications and cancer
    • RNA Research and Splicing

Papers in

Oliver Broom

13 papers receiving 890 citations

Peers

Oliver Broom
Comparison fields: 5 of 86
  • Cancer Research 470
  • Molecular Biology 648
  • Immunology 119
  • Pharmacology 31
  • Genetics 84
Replace Su Hyung Hong with:
Su Hyung Hong South Korea
Kyeong Ah Park South Korea
Mark F. Oellerich Germany
El‐Sayed Akool Egypt
Jingbo Lu China
Weiyan Peng China
Susanne Bacher Germany
Lin Cao China
Yufeng Hu China
Hongpeng He China
Oliver Broom relative to Su Hyung Hong South Korea Su Hyung Hong's profile →
Citations per field
00.5×2.5×
Su Hyung Hong · 1×
Citations per year

Countries citing papers authored by Oliver Broom

Since Specialization
Citations

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

Fields of papers citing papers by Oliver Broom

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 20161
2 201516
3 201564
4 201546
5 2011498
6 20101
7 200916
8 200920
9 20091
10 2009152
11
[The role of cysteinyl leukotrienes in chronic inflammation and neoplasia of the intestine].
20094
12 200621
13 200560

About Oliver Broom

Oliver Broom is a scholar working on Immunology and Allergy, Cancer Research, Genetics, Immunology and Molecular Biology, having authored 13 papers that have together received 900 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (2 papers), Cancer, Hypoxia, and Metabolism (2 papers), Cell Adhesion Molecules Research (2 papers), Glycosylation and Glycoproteins Research (1 paper), Acute Myeloid Leukemia Research (1 paper), Metabolomics and Mass Spectrometry Studies (1 paper), Cancer Mechanisms and Therapy (1 paper) and Garlic and Onion Studies (1 paper). The work is most often cited by research in Cancer Research (470 citations), Molecular Biology (648 citations), Immunology (119 citations), Pharmacology (31 citations) and Genetics (84 citations). Oliver Broom has collaborated with scholars based in Sweden, Denmark and Germany. Frequent co-authors include Ole Haagen Nielsen, Jørgen Olsen, Cristian Ruse, Camila O. dos Santos, Susanna Obad, Jan Stenvang, Andreas Petri, Morten Lindow, Cexiong Fu and Markus Heidenblad. Their work appears in journals such as Journal of Biological Chemistry, PLoS ONE, Nature Genetics, Journal of Cellular Physiology and Clinical & Experimental Immunology.

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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