Mai Mochizuki

858 citations
55 papers · 661 indexed · h-index 17
    • MicroRNA in disease regulation 4
    • Cancer Genomics and Diagnostics 4
  • Cell Biology top 10%
    • Mesenchymal stem cell research 5
  • Urology top 10%
    • Peptidase Inhibition and Analysis 6
    • Cancer Cells and Metastasis 5
    • HER2/EGFR in Cancer Research 5
    • Cholangiocarcinoma and Gallbladder Cancer Studies 6
    • Tissue Engineering and Regenerative Medicine 4

Mai Mochizuki

53 papers receiving 651 citations

Peers

Mai Mochizuki
Comparison fields: 5 of 94
  • Cancer Research 151
  • Cell Biology 126
  • Genetics 67
  • Urology 40
  • Oncology 140
Replace Françoise Coustry with:
Françoise Coustry United States
Takashi Shimbo Japan
Ee-chun Cheng United States
James M. Pace United States
Sally James United Kingdom
Tsutomu Muramatsu Japan
A. Koen Braat Netherlands
Orit Harari‐Steinberg Israel
Ling Jin United States
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Citations per field
00.5×1.5×2.1×
Françoise Coustry · 1×
Citations per year

Countries citing papers authored by Mai Mochizuki

Since Specialization
Citations

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

Fields of papers citing papers by Mai Mochizuki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20242
2 20232
3 20230
4 20232
5 20233
6 20224
7 20223
8 20223
9 202012
10 20202
11 202016
12 20192
13 201911
14 20191
15 201822
16 20181
17 201732
18 201629
19 201424
20 19872

About Mai Mochizuki

Mai Mochizuki is a scholar working on Cancer Research, Genetics and Cell Biology, having authored 55 papers that have together received 661 indexed citations. Recurring topics across this work include Cholangiocarcinoma and Gallbladder Cancer Studies (6 papers), Peptidase Inhibition and Analysis (6 papers), Cancer Cells and Metastasis (5 papers), HER2/EGFR in Cancer Research (5 papers), Mesenchymal stem cell research (5 papers), Tissue Engineering and Regenerative Medicine (4 papers), MicroRNA in disease regulation (4 papers) and Cancer Genomics and Diagnostics (4 papers). The work is most often cited by research in Cancer Research (151 citations), Cell Biology (126 citations) and Genetics (67 citations). Mai Mochizuki has collaborated with scholars based in Japan, China and Taiwan. Frequent co-authors include Taka Nakahara, Shunji Suzuki, Keiichi Tamai, Kazunori Yamaguchi, Kennichi Satoh, Yoshinao Aoki, Ikuro Sato, Hironori Kobayashi, Tsutomu Takayanagi and Rie Shibuya. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

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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