Weizhen Jia

414 citations
17 papers · 311 · h-index 9

Impact in

Papers in

    • Angiogenesis and VEGF in Cancer 6
    • Glycosylation and Glycoproteins Research 2
    • Epigenetics and DNA Methylation 2
    • Signaling Pathways in Disease 2
    • Galectins and Cancer Biology 3
    • Immune Cell Function and Interaction 2

Weizhen Jia

16 papers receiving 310 citations

Peers

Weizhen Jia
Comparison fields: 5 of 60
  • Immunology 127
  • Cancer Research 41
  • Molecular Biology 164
  • Pharmacology 33
  • Oncology 46
Replace Daishi Yamakawa with:
Daishi Yamakawa Japan
Samir Sissaoui United Kingdom
Mingchao Ma United States
Susanne N. Wijesinghe United Kingdom
Meei-Jyh Jiang Taiwan
Chikako Tsutsumi‐Miyahara Japan
Chin-Jung Hsu Taiwan
Weiping Li China
John Yeuk-Hon Chan China
Hubert B. Shih United States
Weizhen Jia relative to Daishi Yamakawa Japan Daishi Yamakawa's profile →
Citations per field
00.5×1.5×
Daishi Yamakawa · 1×
Citations per year

Countries citing papers authored by Weizhen Jia

Since Specialization
Citations

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

Fields of papers citing papers by Weizhen Jia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 201390
2 201558
3 201930
4 201926
5 201926
6 202120
7 201313
8 201111
9 202310
10 20207
11 20187
12 20234
13 20194
14 20233
15 20251
16 20241
17 20250

About Weizhen Jia

Weizhen Jia is a scholar working on Molecular Biology, Immunology, Cancer Research, Immunology and Allergy and Surgery, having authored 17 papers that have together received 311 indexed citations. Recurring topics across this work include Angiogenesis and VEGF in Cancer (6 papers), Galectins and Cancer Biology (3 papers), Cell Adhesion Molecules Research (3 papers), Glycosylation and Glycoproteins Research (2 papers), Cancer Genomics and Diagnostics (2 papers), Immune Cell Function and Interaction (2 papers), Epigenetics and DNA Methylation (2 papers) and Signaling Pathways in Disease (2 papers). The work is most often cited by research in Immunology (127 citations), Cancer Research (41 citations), Molecular Biology (164 citations), Pharmacology (33 citations) and Oncology (46 citations). Weizhen Jia has collaborated with scholars based in Japan, Germany and China. Frequent co-authors include Nobuyuki Takakura, Hiroyasu Kidoya, Hisamichi Naito, Daishi Yamakawa, Fumitaka Muramatsu, Yumiko Hayashi, Susumu Sakimoto, Hirotsugu Tsuchimochi, Ralf H. Adams and Mikiyasu Shirai. Their work appears in journals such as American Journal Of Pathology, Nature Communications, Developmental Cell, Biochemical and Biophysical Research Communications and Journal of Biological Chemistry.

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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