Gen Matsunaga

591 citations
12 papers · 482 indexed · h-index 10
Topics
Cervical Cancer and HPV Research (3 papers)Sarcoma Diagnosis and Treatment (2 papers)Estrogen and related hormone effects (2 papers)
Partner nations
JapanUnited StatesIndia

In The Last Decade

Gen Matsunaga

11 papers receiving 466 citations

Peers

Gen Matsunaga
Comparison fields: 5 of 72
  • Genetics 173
  • Oncology 156
  • Molecular Biology 131
  • Endocrinology, Diabetes and Metabolism 103
  • Obstetrics and Gynecology 95
Replace Nancy F. Fritz with:
Nancy F. Fritz United States
Tim Cordes Germany
R. Don Gambrell United States
Е. V. Tsyrlina Russia
Elisabeth Le Nestour France
Adam Carey United Kingdom
Reinhard Hackenberg Germany
Laïla Zahed Lebanon
Toshihide Masuzawa Japan
Jasna Šinkovec Slovenia
Gen Matsunaga relative to Nancy F. Fritz United States Nancy F. Fritz's profile →
Citations per field
00.5×
Nancy F. Fritz · 1×
Citations per year

Countries citing papers authored by Gen Matsunaga

Since Specialization
Citations

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

Fields of papers citing papers by Gen Matsunaga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gen Matsunaga

This figure shows the co-authorship network connecting the top 25 collaborators of Gen Matsunaga. A scholar is included among the top collaborators of Gen Matsunaga 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 Gen Matsunaga. Gen Matsunaga is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
#WorkIndexed citations
1 0
2 46
3 15
4 3
5
Immunolocalization of cyclins D and E and cyclin dependent kinase (cdk) 2 and 4 in human breast carcinoma.
19
6 60
7
Immunohistochemical study of Ki-67 and DNA topoisomerase II in human endometrium.
26
8
Localization of mineralocorticoid receptor and 11 beta-hydroxysteroid dehydrogenase type II in human breast and its disorders.
36
9 211
10 17
11 11
12 38

About Gen Matsunaga

Gen Matsunaga is a scholar working on Obstetrics and Gynecology, Pathology and Forensic Medicine and Oncology, having authored 12 papers that have together received 482 indexed citations. Recurring topics across this work include Cervical Cancer and HPV Research (3 papers), Sarcoma Diagnosis and Treatment (2 papers) and Estrogen and related hormone effects (2 papers). The work is most often cited by research in Obstetrics and Gynecology (95 citations), Reproductive Medicine (77 citations) and Endocrinology, Diabetes and Metabolism (103 citations). Gen Matsunaga has collaborated with scholars based in Japan, United States and India. Frequent co-authors include Hironobu Sasano, Hiroshi Nagura, Osamu Kashimoto, Miwa Uzuki, Takashi Sawai, Nobuhiro Harada, Akira Yajima, Shinji Sato, Kiyoshi Ito and Hitoshi Niikura. Their work appears in journals such as Journal of Bone and Mineral Research, The Journal of Pathology and Human Pathology.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026