Masataka Adachi

1.1k citations
41 papers · 790 indexed · h-index 15
Topics
Genetic factors in colorectal cancer (7 papers)Cancer Genomics and Diagnostics (6 papers)Ovarian cancer diagnosis and treatment (6 papers)

In The Last Decade

Masataka Adachi

37 papers receiving 773 citations

Peers

Masataka Adachi
Comparison fields: 5 of 85
  • Molecular Biology 270
  • Cancer Research 182
  • Reproductive Medicine 169
  • Pathology and Forensic Medicine 147
  • Obstetrics and Gynecology 139
Replace Yunlang Cai with:
Yunlang Cai China
Kunihiro Sakai Japan
José Miguel Escudero Fernández Spain
Aruni Ghose United Kingdom
Yoshihito Ichikawa Japan
Bernhard Ralla Germany
Jingwen Fang China
Georg Sauer Germany
Ilse M. Rood Netherlands
I. Douglas Miller United Kingdom
Masataka Adachi relative to Yunlang Cai China Yunlang Cai's profile →
Citations per field
00.5×4.6×
Yunlang Cai · 1×
Citations per year

Countries citing papers authored by Masataka Adachi

Since Specialization
Citations

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

Fields of papers citing papers by Masataka Adachi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masataka Adachi

This figure shows the co-authorship network connecting the top 25 collaborators of Masataka Adachi. A scholar is included among the top collaborators of Masataka Adachi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Masataka Adachi. Masataka Adachi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 0
4 4
5 4
6 12
7 30
8 8
9 14
10 47
11 21
12 25
13 8
14 2
15 30
16 143
17 64
18 27
19 6
20 1

About Masataka Adachi

Masataka Adachi is a scholar working on Transplantation, Reproductive Medicine and Obstetrics and Gynecology, having authored 41 papers that have together received 790 indexed citations. Recurring topics across this work include Genetic factors in colorectal cancer (7 papers), Cancer Genomics and Diagnostics (6 papers) and Ovarian cancer diagnosis and treatment (6 papers). The work is most often cited by research in Transplantation (84 citations), Reproductive Medicine (169 citations) and Obstetrics and Gynecology (139 citations). Masataka Adachi has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Kouji Banno, Daisuke Aoki, K. Nakamura, Eiichiro Tominaga, Miho Iida, Yuya Nogami, Kenta Masuda, Kiyoko Umene, Megumi Yanokura and Yusuke Kobayashi. Their work appears in journals such as Human Reproduction, Applied Surface Science and Colloids and Surfaces A Physicochemical and Engineering Aspects.

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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