Hiroaki Nitta

2.7k total citations
51 papers, 2.1k citations indexed

About

Hiroaki Nitta is a scholar working on Oncology, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Hiroaki Nitta has authored 51 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Oncology, 17 papers in Molecular Biology and 17 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Hiroaki Nitta's work include HER2/EGFR in Cancer Research (18 papers), Monoclonal and Polyclonal Antibodies Research (16 papers) and Advanced Biosensing Techniques and Applications (8 papers). Hiroaki Nitta is often cited by papers focused on HER2/EGFR in Cancer Research (18 papers), Monoclonal and Polyclonal Antibodies Research (16 papers) and Advanced Biosensing Techniques and Applications (8 papers). Hiroaki Nitta collaborates with scholars based in United States, Japan and United Kingdom. Hiroaki Nitta's co-authors include Janice M. Bahr, Zaibo Li, Yosuke Osawa, Yanjun Hou, Thomas M. Grogan, Lynn Janulis, David Bunick, Rex A. Hess, Yoshio Osawa and Anil V. Parwani and has published in prestigious journals such as Journal of Clinical Oncology, Endocrinology and Annals of Oncology.

In The Last Decade

Hiroaki Nitta

51 papers receiving 2.0k citations

Peers

Hiroaki Nitta
Jungmin Choi United States
Irene M. Min United States
E Shyam P Reddy United States
N M Gough Australia
Arline D. Deitch United States
Nicolson Gl United States
Jungmin Choi United States
Hiroaki Nitta
Citations per year, relative to Hiroaki Nitta Hiroaki Nitta (= 1×) peers Jungmin Choi

Countries citing papers authored by Hiroaki Nitta

Since Specialization
Citations

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

Fields of papers citing papers by Hiroaki Nitta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hiroaki Nitta

This figure shows the co-authorship network connecting the top 25 collaborators of Hiroaki Nitta. A scholar is included among the top collaborators of Hiroaki Nitta 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 Hiroaki Nitta. Hiroaki Nitta 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
1.
Huang, Zhi, Wei Shao, Zhi Han, et al.. (2023). Artificial intelligence reveals features associated with breast cancer neoadjuvant chemotherapy responses from multi-stain histopathologic images. npj Precision Oncology. 7(1). 14–14. 48 indexed citations
2.
Nitta, Hiroaki, et al.. (2021). M2 tumor-associated macrophages play important role in predicting response to neoadjuvant chemotherapy in triple-negative breast carcinoma. Breast Cancer Research and Treatment. 188(1). 37–42. 17 indexed citations
3.
Shen, Tiansheng, Hiroaki Nitta, Lai Wei, Anil V. Parwani, & Zaibo Li. (2020). HER2 intratumoral heterogeneity is independently associated with distal metastasis and overall survival in HER2-positive breast carcinomas. Breast Cancer Research and Treatment. 181(3). 519–527. 9 indexed citations
4.
Nitta, Hiroaki & Brian Kelly. (2019). Chromogenic Tissue-Based Methods for Detection of Gene Amplifications (or Rearrangements) Combined with Protein Overexpression in Clinical Samples. Methods in molecular biology. 1953. 301–314. 2 indexed citations
5.
Nitta, Hiroaki, et al.. (2018). Identification of HER2 Immunohistochemistry-Negative, FISH-Amplified Breast Cancers and Their Response to Anti-HER2 Neoadjuvant Chemotherapy. American Journal of Clinical Pathology. 151(2). 176–184. 20 indexed citations
6.
Hou, Yanjun, Hiroaki Nitta, Lai Wei, et al.. (2018). PD-L1 expression and CD8-positive T cells are associated with favorable survival in HER2-positive invasive breast cancer. The Breast Journal. 24(6). 911–919. 56 indexed citations
7.
Hou, Yanjun, Hiroaki Nitta, Lai Wei, et al.. (2017). HER2 intratumoral heterogeneity is independently associated with incomplete response to anti-HER2 neoadjuvant chemotherapy in HER2-positive breast carcinoma. Breast Cancer Research and Treatment. 166(2). 447–457. 61 indexed citations
8.
Hou, Yanjun, Hiroaki Nitta, & Zaibo Li. (2016). HER2 Gene Protein Assay Is Useful to Determine HER2 Status and Evaluate HER2 Heterogeneity in HER2 Equivocal Breast Cancer. American Journal of Clinical Pathology. 147(1). aqw211–aqw211. 21 indexed citations
9.
Nitta, Hiroaki, Koji Tsuta, Akihiko Yoshida, et al.. (2013). New Methods for ALK Status Diagnosis in Non–Small-Cell Lung Cancer: An Improved ALK Immunohistochemical Assay and a New, Brightfield, Dual ALK IHC–In Situ Hybridization Assay. Journal of Thoracic Oncology. 8(8). 1019–1031. 24 indexed citations
10.
Tsuta, Koji, Takahiro Mimae, Hiroaki Nitta, et al.. (2012). Insulin-like growth factor-1 receptor protein expression and gene copy number alterations in non–small cell lung carcinomas. Human Pathology. 44(6). 975–982. 16 indexed citations
11.
Kim, Hyojin, Ji‐Young Choe, Jin Ho Paik, et al.. (2011). Detection of ALK Gene Rearrangement in Non-small Cell Lung Cancer: A Comparison of Fluorescence In Situ Hybridization and Chromogenic In Situ Hybridization with Correlation of ALK Protein Expression. Journal of Thoracic Oncology. 6(8). 1359–1366. 119 indexed citations
13.
Nitta, Hiroaki, Jiro Kishimoto, & Thomas M. Grogan. (2003). Application of Automated mRNA In Situ Hybridization for Formalin-fixed, Paraffin-embedded Mouse Skin Sections. Applied immunohistochemistry & molecular morphology. 11(2). 183–187. 23 indexed citations
14.
Nitta, Hiroaki, et al.. (2002). P1-07 Automated Colormetric Tyramide Signal Amplification In Situ Hybridization (TISH) Detection of Single HER-2/neu Oncogene Copies. ACTA HISTOCHEMICA ET CYTOCHEMICA. 35(3). 224. 1 indexed citations
15.
Tsubota, Toshio, Lesley A. Skalla, Hiroaki Nitta, et al.. (1997). Seasonal changes in spermatogenesis and testicular steroidogenesis in the male black bear Ursus americanus. Reproduction. 109(1). 21–27. 94 indexed citations
16.
Alila, Hector W., Michael M. Coleman, Hiroaki Nitta, et al.. (1997). Expression of Biologically Active Human Insulin-like Growth Factor-I Following Intramuscular Injection of a Formulated Plasmid in Rats. Human Gene Therapy. 8(15). 1785–1795. 51 indexed citations
17.
Hess, Rex A., David Bunick, Hiroaki Nitta, et al.. (1995). Rooster Testicular Germ Cells and Epididymal Sperm Contain P450 Aromatase1. Biology of Reproduction. 53(6). 1259–1264. 81 indexed citations
18.
Nitta, Hiroaki, David Bunick, Rex A. Hess, et al.. (1993). Germ cells of the mouse testis express P450 aromatase.. Endocrinology. 132(3). 1396–1401. 242 indexed citations
19.
Nitta, Hiroaki, J. Ian Mason, & Janice M. Bahr. (1993). Localization of 3β-Hydroxysteroid Dehydrogenase in the Chicken Ovarian Follicle Shifts from the Theca Layer to Granulosa Layer with Follicular Maturation1. Biology of Reproduction. 48(1). 110–116. 48 indexed citations
20.
Nitta, Hiroaki, Yoshio Osawa, & Janice M. Bahr. (1991). Multiple Steroidogenic Cell Populations in the Thecal Layer of Preovulatory Follicles of the Chicken Ovary*. Endocrinology. 129(4). 2033–2040. 75 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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