Nami Takada

462 total citations
24 papers, 277 citations indexed

About

Nami Takada is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Molecular Biology. According to data from OpenAlex, Nami Takada has authored 24 papers receiving a total of 277 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Endocrinology, Diabetes and Metabolism, 9 papers in Surgery and 8 papers in Molecular Biology. Recurrent topics in Nami Takada's work include Thyroid Cancer Diagnosis and Treatment (14 papers), Salivary Gland Tumors Diagnosis and Treatment (5 papers) and Head and Neck Anomalies (4 papers). Nami Takada is often cited by papers focused on Thyroid Cancer Diagnosis and Treatment (14 papers), Salivary Gland Tumors Diagnosis and Treatment (5 papers) and Head and Neck Anomalies (4 papers). Nami Takada collaborates with scholars based in Japan, Australia and Kazakhstan. Nami Takada's co-authors include Mitsuyoshi Hirokawa, Akira Miyauchi, Ayana Suzuki, Miyoko Higuchi, Seiji Kuma, Toshitetsu Hayashi, Tsutomu Daa, Aki Ito, Noriko M. Tsuji and Kei‐ichi Ozaki and has published in prestigious journals such as SHILAP Revista de lepidopterología, Kidney International and Cancers.

In The Last Decade

Nami Takada

24 papers receiving 270 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Nami Takada Japan 11 160 102 68 64 37 24 277
Benjamin Chevalier France 8 114 0.7× 86 0.8× 76 1.1× 63 1.0× 39 1.1× 28 273
Avraam Avramidis Greece 9 196 1.2× 139 1.4× 142 2.1× 192 3.0× 29 0.8× 12 463
Saba Samad Memon India 9 130 0.8× 133 1.3× 45 0.7× 24 0.4× 44 1.2× 66 270
Aleksandra Jawiarczyk-Przybyłowska Poland 12 245 1.5× 67 0.7× 85 1.3× 32 0.5× 59 1.6× 45 366
Karin van der Tuin Netherlands 6 97 0.6× 86 0.8× 31 0.5× 37 0.6× 34 0.9× 9 199
Rajan Palui India 10 130 0.8× 73 0.7× 46 0.7× 33 0.5× 93 2.5× 28 274
Ferhunde Dizdaroğlu Türkiye 11 64 0.4× 155 1.5× 50 0.7× 90 1.4× 48 1.3× 18 309
Joana Simões‐Pereira Portugal 10 162 1.0× 57 0.6× 57 0.8× 59 0.9× 32 0.9× 38 270
Virendra Patil India 11 183 1.1× 152 1.5× 64 0.9× 92 1.4× 80 2.2× 60 395
Shinji Kitahama Japan 9 238 1.5× 76 0.7× 97 1.4× 54 0.8× 11 0.3× 19 398

Countries citing papers authored by Nami Takada

Since Specialization
Citations

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

Fields of papers citing papers by Nami Takada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nami Takada

This figure shows the co-authorship network connecting the top 25 collaborators of Nami Takada. A scholar is included among the top collaborators of Nami Takada 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 Nami Takada. Nami Takada 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.
Matsuda, Katsuya, Hisayoshi Kondo, Nami Takada, et al.. (2022). Molecular Pathological Characteristics of Thyroid Follicular-Patterned Tumors Showing Nodule-in-Nodule Appearance with Poorly Differentiated Component. Cancers. 14(15). 3577–3577. 9 indexed citations
2.
Hirokawa, Mitsuyoshi, Katsuya Matsuda, Takumi Kudo, et al.. (2019). Cribriform-Morular Variant of Papillary Thyroid Carcinoma Shows High Ki-67 Labeling Indices, despite Its Excellent Prognosis. Pathobiology. 86(5-6). 248–253. 13 indexed citations
3.
Takada, Nami, et al.. (2019). Immunohistochemical Reactivity of Prostate-Specific Markers for Salivary Duct Carcinoma. Pathobiology. 87(1). 30–36. 8 indexed citations
4.
Suzuki, Ayana, Mitsuyoshi Hirokawa, Takuya Higashiyama, et al.. (2019). Flow cytometric, gene rearrangement, and karyotypic analyses of 110 cases of primary thyroid lymphoma: a single-institutional experience in Japan. Endocrine Journal. 66(12). 1083–1091. 9 indexed citations
5.
6.
Suzuki, Ayana, Mitsuyoshi Hirokawa, Aki Ito, et al.. (2018). Identification of Cytological Features Distinguishing Mucosa-Associated Lymphoid Tissue Lymphoma from Reactive Lymphoid Proliferation Using Thyroid Liquid-Based Cytology. Acta Cytologica. 62(2). 93–98. 5 indexed citations
7.
Hirokawa, Mitsuyoshi, Ayana Suzuki, Nami Takada, et al.. (2018). Can Ultrasound Alone Predict Papillary Thyroid Carcinoma with Desmoid-Type Fibromatosis? A Retrospective Analysis of 13 Cases, Focusing on the Stromal Area. SHILAP Revista de lepidopterología. 4(2). E39–E44. 5 indexed citations
8.
Hirokawa, Mitsuyoshi, Nami Takada, Hideyuki Abe, et al.. (2018). Thyroid sclerosing mucoepidermoid carcinoma with eosinophilia distinct from the salivary type. Endocrine Journal. 65(4). 427–436. 10 indexed citations
9.
Takada, Nami, Mitsuyoshi Hirokawa, Aki Ito, et al.. (2017). Cytoplasmic Lipid Accumulation Characteristic of the Cribriform Variant of Papillary Thyroid Carcinoma. Pathobiology. 84(5). 251–257. 8 indexed citations
10.
Takada, Nami, Mitsuyoshi Hirokawa, Masahiro Ito, et al.. (2017). Papillary thyroid carcinoma with desmoid-type fibromatosis: A clinical, pathological, and immunohistochemical study of 14 cases. Endocrine Journal. 64(10). 1017–1023. 18 indexed citations
11.
12.
Suzuki, Ayana, Mitsuyoshi Hirokawa, Nami Takada, et al.. (2017). Fine-needle aspiration cytology for medullary thyroid carcinoma: a single institutional experience in Japan. Endocrine Journal. 64(11). 1099–1104. 25 indexed citations
13.
Takada, Nami, Mitsuyoshi Hirokawa, Ayana Suzuki, et al.. (2017). Reappraisal of “cyst fluid only” on thyroid fine-needle aspiration cytology. Endocrine Journal. 64(8). 759–765. 11 indexed citations
14.
Nishihara, Eijun, Akira Hishinuma, Takahiko Kogai, et al.. (2016). A Novel Germline Mutation of KEAP1 (R483H) Associated with a Non-Toxic Multinodular Goiter. Frontiers in Endocrinology. 7. 131–131. 15 indexed citations
15.
Takada, Nami, Mitsuyoshi Hirokawa, Ayana Suzuki, et al.. (2016). Diagnostic value of GATA-3 in cytological identification of parathyroid tissues. Endocrine Journal. 63(7). 621–626. 17 indexed citations
16.
Suzuki, Ayana, Mitsuyoshi Hirokawa, Miyoko Higuchi, et al.. (2016). Differentiating between benign follicular nodules and follicular neoplasms in thyroid liquid‐based cytology preparations. Diagnostic Cytopathology. 44(8). 659–664. 3 indexed citations
17.
Suzuki, Ayana, Mitsuyoshi Hirokawa, Nami Takada, et al.. (2015). Diagnostic significance of PAX8 in thyroid squamous cell carcinoma. Endocrine Journal. 62(11). 991–995. 33 indexed citations
18.
Yoshida, Tomomi, Takaaki Sano, Nami Takada, et al.. (2010). Comparison of Self-Collected and Clinician-Collected Materials for Cervical Cytology and Human Papillomavirus Genotyping: Analysis by Linear Array Assay. Acta Cytologica. 55(1). 106–112. 7 indexed citations
19.
Ozaki, Kei‐ichi, Nami Takada, Noriko M. Tsuji, et al.. (1997). Localization of insulin receptor-related receptor in the rat kidney. Kidney International. 52(3). 694–698. 18 indexed citations
20.
Tsuji, Noriko M., et al.. (1996). Expression of insulin receptor-related receptor in the rat brain examined by in situ hybridization and immunohistochemistry. Molecular Brain Research. 41(1-2). 250–258. 17 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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