Dianren Xia

594 citations
17 papers · 487 indexed · h-index 10

Impact in

Papers in

    • Cancer-related molecular mechanisms research 3
    • Cancer, Hypoxia, and Metabolism 2
    • Bioactive Compounds and Antitumor Agents 1

Dianren Xia

17 papers receiving 482 citations

Peers

Dianren Xia
Comparison fields: 5 of 80
  • Cancer Research 120
  • Immunology and Allergy 31
  • Molecular Biology 314
  • Pharmacology 76
  • Oncology 114
Replace José Luís Oliva with:
José Luís Oliva Spain
Karl Deacon United Kingdom
Francesco Caiazza Ireland
C. Zang Germany
Bryan M. Gillard United States
Sören Pest Germany
Yung-Sheng Chang Taiwan
Daniel Margerie Germany
Guillermo Peluffo United States
Pamela L. Rice United States
Dianren Xia relative to José Luís Oliva Spain José Luís Oliva's profile →
Citations per field
00.5×1.5×
José Luís Oliva · 1×
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-authorship network

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 20177
2 20173
3 20161
4 201615
5 201413
6 20131
7 2012128
8 20121
9 201144
10 20114
11 201022
12 201047
13 200723
14 200684
15 200641
16 20055
17 200348

About Dianren Xia

Dianren Xia is a scholar working on Cancer Research, Toxicology, Pharmacology, Molecular Biology and Oncology, having authored 17 papers that have together received 487 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (4 papers), Colorectal Cancer Treatments and Studies (3 papers), Inflammatory mediators and NSAID effects (3 papers), Cancer-related molecular mechanisms research (3 papers), Cancer, Hypoxia, and Metabolism (2 papers), Hedgehog Signaling Pathway Studies (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers) and Bioactive Compounds and Antitumor Agents (1 paper). The work is most often cited by research in Cancer Research (120 citations), Immunology and Allergy (31 citations), Molecular Biology (314 citations), Pharmacology (76 citations) and Oncology (114 citations). Dianren Xia has collaborated with scholars based in United States, South Korea and Lebanon. Frequent co-authors include Raymond N. DuBois, Dingzhi Wang, Hiroshi Katoh, Sun‐Hee Kim, Vijaykumar Holla, David G. Menter, Gautam Sethi, Bharat B. Aggarwal, Heetae Kim and Powel H. Brown. Their work appears in journals such as Cancer Research, Journal of Clinical Oncology, Journal of Biological Chemistry, Cancers 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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