Dian-na Gu

702 citations
27 papers · 516 indexed · h-index 12

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Cancer, Hypoxia, and Metabolism
    • Pancreatic and Hepatic Oncology Research

Papers in

    • MicroRNA in disease regulation 7
    • Cancer-related molecular mechanisms research 4
    • Cancer Immunotherapy and Biomarkers 4
    • Pancreatic and Hepatic Oncology Research 3

Dian-na Gu

26 papers receiving 510 citations

Peers

Dian-na Gu
Comparison fields: 5 of 67
  • Cancer Research 282
  • Oncology 151
  • Otorhinolaryngology 20
  • Molecular Biology 306
  • Immunology 70
Replace Qiu‐Yan He with:
Qiu‐Yan He China
Yanjie You China
Hongjuan Xu China
Ailan Cheng China
Erwin Tomasich Austria
Junichi Motoshita Japan
María Villa‐Morales Spain
Renba Liang China
Yanmei Cui China
Verena Sailer Germany
Dian-na Gu relative to Qiu‐Yan He China Qiu‐Yan He's profile →
Citations per field
00.5×1.5×2.1×
Qiu‐Yan He · 1×
Citations per year

Countries citing papers authored by Dian-na Gu

Since Specialization
Citations

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

Fields of papers citing papers by Dian-na Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dian-na Gu. 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 Dian-na Gu. The network helps show where Dian-na Gu may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20241
3 20241
4 20234
5 202311
6 20216
7 202111
8 202012
9 202012
10 201842
11 201822
12 20188
13 201714
14 201775
15 201630
16 201538
17 201436
18 20096
19 20088
20 19921

About Dian-na Gu

Dian-na Gu is a scholar working on Cancer Research, Oncology, Immunology, Otorhinolaryngology and Genetics, having authored 27 papers that have together received 516 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (7 papers), Cancer Immunotherapy and Biomarkers (4 papers), Cancer-related molecular mechanisms research (4 papers), Ferroptosis and cancer prognosis (3 papers), Pancreatic and Hepatic Oncology Research (3 papers), Autophagy in Disease and Therapy (3 papers), Immune cells in cancer (3 papers) and Circular RNAs in diseases (3 papers). The work is most often cited by research in Cancer Research (282 citations), Oncology (151 citations), Otorhinolaryngology (20 citations), Molecular Biology (306 citations) and Immunology (70 citations). Dian-na Gu has collaborated with scholars based in China, Norway and United States. Frequent co-authors include Ling Tian, Mingjie Jiang, Qian Huang, Juanjuan Dai, Zhu Mei, Chenyun Dai, Chi Fang, Yiyun Chen, Qian Huang and Ling Tian. Their work appears in journals such as Frontiers in Oncology, Expert Opinion on Therapeutic Targets, Heliyon, The Journal of Gene Medicine and International Journal of Medical Sciences.

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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