Hasengaowa

406 citations
11 papers · 342 · h-index 9

Impact in

Papers in

    • Proteoglycans and glycosaminoglycans research 7
    • Caveolin-1 and cellular processes 1
    • Angiogenesis and VEGF in Cancer 2
    • Glycosylation and Glycoproteins Research 2

Hasengaowa

11 papers receiving 337 citations

Peers

Hasengaowa
Comparison fields: 5 of 49
  • Cell Biology 124
  • Immunology and Allergy 35
  • Oncology 118
  • Cancer Research 59
  • Immunology 73
Replace Stacy M. Plum with:
Stacy M. Plum United States
Chery A. Whipple United States
Sahra Borgés United States
Feng-Qiang Wang United States
Hua Linghu China
Takuma Aikawa United States
Thea Eline Hetland Norway
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Citations per field
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Citations per year

Countries citing papers authored by Hasengaowa

Since Specialization
Citations

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

Fields of papers citing papers by Hasengaowa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Hasengaowa, 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 Hasengaowa Line = papers co-authored together Hasengaowa links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 2006111
2 200656
3 200534
4 200431
5 200730
6
Loss of basement membrane heparan sulfate expression is associated with tumor progression in endometrial cancer.
200522
7
Expression of the CXCR4 and CCR7 chemokine receptors in human endometrial cancer.
200720
8
Loss of basement membrane heparan sulfate expression is associated with pelvic lymph node metastasis in invasive cervical cancer.
200515
9 201515
10 20067
11 20051

About Hasengaowa

Hasengaowa is a scholar working on Cell Biology, Molecular Biology, Oncology, Pharmacology and Cellular and Molecular Neuroscience, having authored 11 papers that have together received 342 indexed citations. Recurring topics across this work include Proteoglycans and glycosaminoglycans research (7 papers), Angiogenesis and VEGF in Cancer (2 papers), Glycosylation and Glycoproteins Research (2 papers), Chemokine receptors and signaling (2 papers), Endometrial and Cervical Cancer Treatments (1 paper), Caveolin-1 and cellular processes (1 paper), Lipid metabolism and disorders (1 paper) and Inflammatory mediators and NSAID effects (1 paper). The work is most often cited by research in Cell Biology (124 citations), Immunology and Allergy (35 citations), Oncology (118 citations), Cancer Research (59 citations) and Immunology (73 citations). Hasengaowa has collaborated with scholars based in Japan, China and United States. Frequent co-authors include Junichi Kodama, Tamon Kusumoto, Narihito Seki, Yoshihiro Hiramatsu, Ayumi Hongo, Toshihiko Matsuo, Kazufumi Nakamura, Y Hiramatsu, Tomoyuki Kusumoto and Yuji Hiramatsu. Their work appears in journals such as Annals of Oncology, International Journal of Gynecological Cancer, European Journal of Cancer, Biomedicine & Pharmacotherapy and European Journal of Obstetrics & Gynecology and Reproductive Biology.

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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