Koichiro Higasa

4.2k total citations
72 papers, 1.4k citations indexed

About

Koichiro Higasa is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Genetics. According to data from OpenAlex, Koichiro Higasa has authored 72 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Molecular Biology, 13 papers in Pulmonary and Respiratory Medicine and 12 papers in Genetics. Recurrent topics in Koichiro Higasa's work include Molecular Biology Techniques and Applications (7 papers), Renal cell carcinoma treatment (6 papers) and RNA and protein synthesis mechanisms (6 papers). Koichiro Higasa is often cited by papers focused on Molecular Biology Techniques and Applications (7 papers), Renal cell carcinoma treatment (6 papers) and RNA and protein synthesis mechanisms (6 papers). Koichiro Higasa collaborates with scholars based in Japan, United States and Italy. Koichiro Higasa's co-authors include Fumihiko Matsuda, Ryo Yamada, Kenshi Hayashi, Yoji Kukita, Tomoko Tahira, Shuji Kawaguchi, Masakazu Shimizu, Shingo Baba, Akio Oishi and Maho Oishi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

In The Last Decade

Koichiro Higasa

66 papers receiving 1.4k citations

Peers

Koichiro Higasa

GENET

PRM

ONCOL

Craig April United States

Pieter Faber United States

Mordechai Shohat Israel

Daniel Hebenstreit United Kingdom

Renate Kirschner‐Schwabe Germany

Timothy Nottoli United States

Dorota Monies Saudi Arabia

Nitin Udar United States

Neeme Tõnisson Estonia

Marianne F. James United States

Craig April United States

Koichiro Higasa

949 ×1.2

205 ×0.9

GENET

274 ×1.3

PRM

506 ×2.9

246 ×1.5

ONCOL

Citations per year, relative to Koichiro Higasa Koichiro Higasa (= 1×) peers Craig April

Countries citing papers authored by Koichiro Higasa

Since Specialization

Citations

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

Fields of papers citing papers by Koichiro Higasa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Koichiro Higasa

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

All Works

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20 of 20 papers shown

Mitsui, Toshihito, et al.. (2025). Molecular Insights into the Superiority of Platelet Lysate over FBS for hASC Expansion and Wound Healing. Cells. 14(15). 1154–1154.

Higasa, Koichiro, Yoichiro Kamatani, Takahisa Kawaguchi, et al.. (2025). Whole-genome sequencing of 3135 individuals representing the genetic diversity of the Japanese population. Journal of Human Genetics. 71(4). 223–230.

Boku, Shogen, et al.. (2025). Anamorelin in Cancer Cachexia: Gut Microbiota Effects and CONUT Score as a Predictor of Response. In Vivo. 39(6). 3626–3635.

Kondo, Hiroyuki, Takaaki Hayashi, Sachiko Nishina, et al.. (2024). Familial Exudative Vitreoretinopathy With and Without Pathogenic Variants of Norrin/β-Catenin Signaling Genes. Ophthalmology Science. 4(5). 100514–100514. 7 indexed citations

Ueda, Yoshihiro, Koichiro Higasa, Yuji Kamioka, et al.. (2023). Rap1 organizes lymphocyte front-back polarity via RhoA signaling and talin1. iScience. 26(8). 107292–107292. 2 indexed citations

Pezzotti, Giuseppe, Eriko Ohgitani, Masaharu Shin‐Ya, et al.. (2023). Raman Multi-Omic Snapshot and Statistical Validation of Structural Differences between Herpes Simplex Type I and Epstein–Barr Viruses. International Journal of Molecular Sciences. 24(21). 15567–15567. 4 indexed citations

Hayashi, Shinichi, Yuki Sato, Souichi Oe, et al.. (2023). OLIG2 translocates to chromosomes during mitosis via a temperature downshift: A novel neural cold response of mitotic bookmarking. Gene. 891. 147829–147829. 2 indexed citations

Akagawa, Shohei, et al.. (2023). Dysbiosis of the gut microbiota as a susceptibility factor for Kawasaki disease. Frontiers in Immunology. 14. 1268453–1268453. 17 indexed citations

Ogata, Haruhiko, Hidetoshi Tahara, Akira Shimamoto, et al.. (2023). Changes in Multiple microRNA Levels with Antidepressant Treatment Are Associated with Remission and Interact with Key Pathways: A Comprehensive microRNA Analysis. International Journal of Molecular Sciences. 24(15). 12199–12199. 9 indexed citations

10.

Kato, Masaki, Haruhiko Ogata, Hidetoshi Tahara, et al.. (2022). Multiple Pre-Treatment miRNAs Levels in Untreated Major Depressive Disorder Patients Predict Early Response to Antidepressants and Interact with Key Pathways. International Journal of Molecular Sciences. 23(7). 3873–3873. 15 indexed citations

11.

Hayashi, Shinichi, Souichi Oe, Taro Koike, et al.. (2022). OLIG2 is an in vivo bookmarking transcription factor in the developing neural tube in mouse. Journal of Neurochemistry. 165(3). 303–317. 3 indexed citations

12.

Mizobuchi, Kei, Takaaki Hayashi, Shuhei Kameya, et al.. (2021). Genotype-Phenotype Correlations in RP1-Associated Retinal Dystrophies: A Multi-Center Cohort Study in JAPAN. Journal of Clinical Medicine. 10(11). 2265–2265. 16 indexed citations

13.

Yoshida, Takashi, Chisato Ohe, Junichi Ikeda, et al.. (2021). Eosinophilic features in clear cell renal cell carcinoma correlate with outcomes of immune checkpoint and angiogenesis blockade. Journal for ImmunoTherapy of Cancer. 9(9). e002922–e002922. 25 indexed citations

14.

Anderson-Trocmé, Luke, Rick Farouni, Mathieu Bourgey, et al.. (2019). Legacy Data Confound Genomics Studies. Molecular Biology and Evolution. 37(1). 2–10. 17 indexed citations

15.

Setoh, Kazuya, Meiko Takahashi, Koichiro Higasa, et al.. (2019). Association of ALPL variants with serum alkaline phosphatase and bone traits in the general Japanese population: The Nagahama Study. Journal of Human Genetics. 65(3). 337–343. 3 indexed citations

16.

Kondo, Hiroyuki, Eiichi Uchio, Shunji Kusaka, & Koichiro Higasa. (2017). Risk allele of the FZD4 gene for familial exudative vitreoretinopathy. Ophthalmic Genetics. 39(3). 405–406. 5 indexed citations

17.

Takenouchi, Toshiki, Chiharu Torii, Atsushi Shimizu, et al.. (2014). The Use of Next-Generation Sequencing in Molecular Diagnosis of Neurofibromatosis Type 1: A Validation Study. Genetic Testing and Molecular Biomarkers. 18(11). 722–735. 30 indexed citations

18.

Yamamoto, Hiromasa, Koichiro Higasa, Masakiyo Sakaguchi, et al.. (2013). Novel Germline Mutation in the Transmembrane Domain of HER2 in Familial Lung Adenocarcinomas. JNCI Journal of the National Cancer Institute. 106(1). djt338–djt338. 88 indexed citations

19.

Nishijima, Takeshi, Hirokazu Komatsu, Koichiro Higasa, et al.. (2012). Single Nucleotide Polymorphisms in ABCC2 Associate With Tenofovir-Induced Kidney Tubular Dysfunction in Japanese Patients With HIV-1 Infection: A Pharmacogenetic Study. Clinical Infectious Diseases. 55(11). 1558–1567. 62 indexed citations

20.

Higasa, Koichiro & Kenshi Hayashi. (2006). Periodicity of SNP distribution around transcription start sites. BMC Genomics. 7(1). 66–66. 16 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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