Dianren Xia

598 citations
17 papers · 490 · h-index 10

Impact in

Papers in

    • Epigenetics and DNA Methylation 4
    • Hedgehog Signaling Pathway Studies 2
    • PI3K/AKT/mTOR signaling in cancer 2
    • Ubiquitin and proteasome pathways 1
    • Cancer-related molecular mechanisms research 3
    • Cancer, Hypoxia, and Metabolism 2

Dianren Xia

17 papers receiving 485 citations

Peers

Dianren Xia
Comparison fields: 5 of 78
  • Cancer Research 100
  • Immunology and Allergy 30
  • Pharmacology 73
  • Molecular Biology 286
  • Oncology 98
Replace Raquel Grau with:
Raquel Grau Spain
Barbara A. Swift United States
José Luís Oliva Spain
Karl Deacon United Kingdom
Francesco Caiazza Ireland
Kanae Echizen Japan
Sören Pest Germany
Mark D’Amico United States
Dawn A. Bradbury United Kingdom
Maya Ameyar France
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Citations per field
00.5×
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Citations per year

Countries citing papers authored by Dianren Xia

Since Specialization
Citations

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

Fields of papers citing papers by Dianren Xia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2012129
2 200684
3 201048
4 200348
5 201145
6 200641
7 200723
8 201022
9 201615
10 201413
11 20177
12 20055
13 20114
14 20173
15 20121
16 20131
17 20161

About Dianren Xia

Dianren Xia is a scholar working on Molecular Biology, Cancer Research, Oncology, Pharmacology and Pulmonary and Respiratory Medicine, having authored 17 papers that have together received 490 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (4 papers), Inflammatory mediators and NSAID effects (3 papers), Colorectal Cancer Treatments and Studies (3 papers), Cancer-related molecular mechanisms research (3 papers), Hedgehog Signaling Pathway Studies (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers), Cancer, Hypoxia, and Metabolism (2 papers) and Ubiquitin and proteasome pathways (1 paper). The work is most often cited by research in Cancer Research (100 citations), Immunology and Allergy (30 citations), Pharmacology (73 citations), Molecular Biology (286 citations) and Oncology (98 citations). Dianren Xia has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Raymond N. DuBois, Dingzhi Wang, Sun‐Hee Kim, Hiroshi Katoh, Vijaykumar Holla, David G. Menter, Heetae Kim, Gautam Sethi, Powel H. Brown and Bharat B. Aggarwal. Their work appears in journals such as Cancer Research, Journal of Clinical Oncology, Journal of Biological Chemistry, Investigational New Drugs and Nature Medicine.

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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