KEIICHI MATSUO

1.3k total citations · 1 hit paper
15 papers, 1.1k citations indexed

About

KEIICHI MATSUO is a scholar working on Endocrinology, Diabetes and Metabolism, Oncology and Molecular Biology. According to data from OpenAlex, KEIICHI MATSUO has authored 15 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Endocrinology, Diabetes and Metabolism, 5 papers in Oncology and 3 papers in Molecular Biology. Recurrent topics in KEIICHI MATSUO's work include Thyroid Cancer Diagnosis and Treatment (7 papers), Growth Hormone and Insulin-like Growth Factors (5 papers) and Cancer-related Molecular Pathways (5 papers). KEIICHI MATSUO is often cited by papers focused on Thyroid Cancer Diagnosis and Treatment (7 papers), Growth Hormone and Insulin-like Growth Factors (5 papers) and Cancer-related Molecular Pathways (5 papers). KEIICHI MATSUO collaborates with scholars based in United States, Japan and Argentina. KEIICHI MATSUO's co-authors include James A. Fagin, Shanhong Tang, H. Phillip Koeffler, D.L. Chen, Hiroyuki Namba, R. Gutman, Eitan Friedman, Shunichi Yamashita, Shigenobu Nagataki and Pablo V. Gejman and has published in prestigious journals such as Journal of Clinical Investigation, The Journal of Clinical Endocrinology & Metabolism and Endocrinology.

In The Last Decade

KEIICHI MATSUO

15 papers receiving 1.0k citations

Hit Papers

High prevalence of mutati... 1993 2026 2004 2015 1993 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. High prevalence of mutations of the p53 gene in poorly differentiated human thyroid carcinomas.
    1993 534 citations James A. Fagin, KEIICHI MATSUO et al. Journal of Clinical Investigation profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
KEIICHI MATSUO 737 507 405 221 216 15 1.1k
M.H. Goyns 254 0.3× 289 0.6× 322 0.8× 117 0.5× 151 0.7× 40 724
H Stobbe 359 0.5× 193 0.4× 377 0.9× 252 1.1× 45 0.2× 45 841
Wendy van Veelen 142 0.2× 401 0.8× 674 1.7× 120 0.5× 164 0.8× 20 1.0k
J A Ruizeveld de Winter 428 0.6× 154 0.3× 519 1.3× 388 1.8× 30 0.1× 10 1.2k
K. J. Cullen 316 0.4× 241 0.5× 360 0.9× 159 0.7× 42 0.2× 7 622
Paul Naik 186 0.3× 308 0.6× 689 1.7× 247 1.1× 44 0.2× 8 1.0k
Paul V. Newcomb 304 0.4× 157 0.3× 281 0.7× 57 0.3× 64 0.3× 13 597
E Tosi 458 0.6× 157 0.3× 513 1.3× 94 0.4× 48 0.2× 14 868
S Takai 287 0.4× 135 0.3× 312 0.8× 81 0.4× 69 0.3× 21 744
Thai H. Tran 107 0.1× 426 0.8× 494 1.2× 141 0.6× 69 0.3× 31 853

Countries citing papers authored by KEIICHI MATSUO

Since Specialization
Citations

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

Fields of papers citing papers by KEIICHI MATSUO

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of KEIICHI MATSUO

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

All Works

15 of 15 papers shown
1.
MATSUO, KEIICHI, Shanhong Tang, Behrooz G. Sharifi, et al.. (1993). Growth factor production by human thyroid carcinoma cells: abundant expression of a platelet-derived growth factor-B-like protein by a human papillary carcinoma cell line.. The Journal of Clinical Endocrinology & Metabolism. 77(4). 996–1004. 20 indexed citations
2.
MATSUO, KEIICHI, Shunichi Yamashita, Hiroyuki Namba, et al.. (1993). Modulation of pituitary insulin-like growth factor-l bindings in rats bearing somatomammotrophic tumors. Journal of Endocrinological Investigation. 16(3). 189–194. 2 indexed citations
3.
4.
MATSUO, KEIICHI, Eitan Friedman, Pablo V. Gejman, & James A. Fagin. (1993). The thyrotropin receptor (TSH-R) is not an oncogene for thyroid tumors: structural studies of the TSH-R and the alpha-subunit of Gs in human thyroid neoplasms.. The Journal of Clinical Endocrinology & Metabolism. 76(6). 1446–1451. 64 indexed citations
5.
MATSUO, KEIICHI, Shanhong Tang, Kazuya Zeki, R. Gutman, & James A. Fagin. (1993). Aberrant deoxyribonucleic acid methylation in human thyroid tumors.. The Journal of Clinical Endocrinology & Metabolism. 77(4). 991–995. 23 indexed citations
6.
Fagin, James A., et al.. (1993). High prevalence of mutations of the p53 gene in poorly differentiated human thyroid carcinomas.. Journal of Clinical Investigation. 91(1). 179–184. 534 indexed citations breakdown →
7.
Godbout, Roseline, et al.. (1992). Lack of expression of tumor-suppressor genes in human malignant glioma cell lines.. PubMed. 7(9). 1879–84. 33 indexed citations
8.
MATSUO, KEIICHI, et al.. (1991). Allelotype of Human Thyroid Tumors: Loss of Chromosome 11q13 Sequences in Follicular Neoplasms. Molecular Endocrinology. 5(12). 1873–1879. 63 indexed citations
9.
Morita, Shigeki, et al.. (1990). Stimulatory effect of retinoic acid on GH gene expression: the interaction of retinoic acid and tri-iodothyronine in rat pituitary cells. Journal of Endocrinology. 125(2). 251–256. 16 indexed citations
10.
Namba, Hiroyuki, KEIICHI MATSUO, & James A. Fagin. (1990). Clonal composition of benign and malignant human thyroid tumors.. Journal of Clinical Investigation. 86(1). 120–125. 117 indexed citations
11.
MATSUO, KEIICHI, Shunichi Yamashita, Masami Niwa, et al.. (1990). Thyroid Hormone Regulates Rat Pituitary Insulin-Like Growth Factor-I Receptors. Endocrinology. 126(1). 550–554. 34 indexed citations
12.
Namba, Hiroyuki, et al.. (1990). H-Ras Protooncogene Mutations in Human Thyroid Neoplasms*. The Journal of Clinical Endocrinology & Metabolism. 71(1). 223–229. 87 indexed citations
13.
Yamashita, Shunichi, KEIICHI MATSUO, Hideshi Hirayu, et al.. (1990). In Vivo Regulation of Hepatic Insulin-Like Growth Factor-1 Messenger Ribonucleic Acids with Thyroid Hormone.. Endocrinologia Japonica. 37(2). 205–211. 24 indexed citations
14.
MATSUO, KEIICHI, Masami Niwa, Masaki Kurihara, et al.. (1989). Receptor autoradiographic analysis of insulin-like growth factor-I (IGF-I) binding sites in rat forebrain and pituitary gland. Cellular and Molecular Neurobiology. 9(3). 357–367. 23 indexed citations
15.
Nagayama, Yuji, Kiyoto Ashizawa, KEIICHI MATSUO, et al.. (1989). Radioiodine (131I) Therapy of Graves' Disease: Use of the New High Resolutional Ultrasonic Scanner for the Determination of the Accurate Weight of the Thyroid Gland.. Endocrinologia Japonica. 36(3). 359–365. 7 indexed citations

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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