Misa Nakamura

3.8k total citations
146 papers, 3.0k citations indexed

About

Misa Nakamura is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Misa Nakamura has authored 146 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Molecular Biology, 34 papers in Oncology and 22 papers in Cancer Research. Recurrent topics in Misa Nakamura's work include Thyroid Cancer Diagnosis and Treatment (11 papers), Breast Cancer Treatment Studies (10 papers) and Neuropeptides and Animal Physiology (9 papers). Misa Nakamura is often cited by papers focused on Thyroid Cancer Diagnosis and Treatment (11 papers), Breast Cancer Treatment Studies (10 papers) and Neuropeptides and Animal Physiology (9 papers). Misa Nakamura collaborates with scholars based in Japan, China and United States. Misa Nakamura's co-authors include Kennichi Kakudo, Ichiro Mori, Yasushi Nakamura, Qifeng Yang, Hironao Yasuoka, Hirotoshi Utsunomiya, Masahiko Tsujimoto, Masaaki Nakahara, Kazuyasu Nakao and Takeo Sakurai and has published in prestigious journals such as Nature, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

In The Last Decade

Misa Nakamura

142 papers receiving 2.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Misa Nakamura Japan 30 1.3k 1.0k 483 479 445 146 3.0k
David E. Dostal United States 37 2.1k 1.6× 524 0.5× 258 0.5× 717 1.5× 761 1.7× 75 4.5k
Friedrich Thaiss Germany 35 1.2k 0.9× 558 0.5× 258 0.5× 577 1.2× 554 1.2× 116 4.9k
Masatoshi Kusuhara Japan 32 1.6k 1.2× 584 0.6× 636 1.3× 515 1.1× 152 0.3× 123 3.5k
Chrisoula D. Scopa Greece 32 853 0.7× 624 0.6× 390 0.8× 725 1.5× 393 0.9× 98 2.7k
Juan Rodríguez‐Vita Spain 23 1.4k 1.0× 341 0.3× 491 1.0× 347 0.7× 238 0.5× 36 2.9k
Markus Bitzer United States 28 2.9k 2.3× 567 0.5× 702 1.5× 436 0.9× 188 0.4× 77 5.3k
Martin G. Sirois Canada 38 1.6k 1.2× 414 0.4× 424 0.9× 564 1.2× 227 0.5× 125 4.0k
Shingo Tsuji Japan 26 1.1k 0.8× 519 0.5× 407 0.8× 509 1.1× 108 0.2× 78 2.7k
Chung-Ming Hsieh United States 22 2.2k 1.7× 312 0.3× 344 0.7× 464 1.0× 219 0.5× 29 3.8k
Richard D. Patten United States 30 1.2k 0.9× 411 0.4× 130 0.3× 517 1.1× 322 0.7× 53 3.8k

Countries citing papers authored by Misa Nakamura

Since Specialization
Citations

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

Fields of papers citing papers by Misa Nakamura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Misa Nakamura

This figure shows the co-authorship network connecting the top 25 collaborators of Misa Nakamura. A scholar is included among the top collaborators of Misa Nakamura 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 Misa Nakamura. Misa Nakamura 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.
Koga, Yoshinori, et al.. (2023). Tubular intestinal duplication extending from the stomach to the ileum associated with multiple intestinal atresia and situs inversus: a case report. SHILAP Revista de lepidopterología. 9(1). 141–141. 1 indexed citations
3.
Hida, M., Chikamune Wada, Masakazu Imaoka, et al.. (2023). Development of Hallux Valgus Classification Using Digital Foot Images with Machine Learning. Life. 13(5). 1146–1146. 2 indexed citations
4.
Nakao, Hayato, Misa Nakamura, Fumie Tazaki, et al.. (2019). Effect of Multicomponent Exercise and Nutrition Support on the Cognitive Function of Older Adults: A Randomized Controlled Trial. SHILAP Revista de lepidopterología. 2 indexed citations
5.
Nakamura, Misa, et al.. (2017). Cognitive impairment associated with locomotive syndrome in community-dwelling elderly women in Japan. Clinical Interventions in Aging. Volume 12. 1451–1457. 21 indexed citations
6.
Nakamura, Misa, et al.. (2013). Procalcitonin: Mysterious Protein in Sepsis. 2(1). 8 indexed citations
7.
Wakasa, Tomoko, et al.. (2013). Loss of Cellular Cohesion in Cytology Composes a Special Subgroup of Breast Tumors - Analysis of 37 Cases. Acta Cytologica. 58(1). 89–95. 3 indexed citations
8.
Nunobiki, Osamu, Misa Nakamura, Emiko Taniguchi, et al.. (2009). Adrenomedullin, Bcl‐2 and microvessel density in normal, hyperplastic and neoplastic endometrium. Pathology International. 59(8). 530–536. 14 indexed citations
9.
Ando, Tetsuo, T Tojimbara, Shuichi Sato, et al.. (2004). Efficacy of basiliximab induction therapy in ABO-incompatible kidney transplantation: A rapid steroid withdrawal protocol. Transplantation Proceedings. 36(7). 2182–2183. 8 indexed citations
10.
Nakamura, Yasushi, Hironao Yasuoka, Masahiko Tsujimoto, et al.. (2003). Prognostic significance of vascular endothelial growth factor D in breast carcinoma with long-term follow-up.. PubMed. 9(2). 716–21. 110 indexed citations
11.
Nakamura, Yasushi, Hironao Yasuoka, Masahiko Tsujimoto, et al.. (2003). Flt-4-positive vessel density correlates with vascular endothelial growth factor-d expression, nodal status, and prognosis in breast cancer.. PubMed. 9(14). 5313–7. 66 indexed citations
12.
Yang, Qifeng, Yasushi Nakamura, Misa Nakamura, et al.. (2003). Loss of Msh2 is not associated with FHIT deletion in breast carcinomas.. PubMed. 22(5). 2591–5. 3 indexed citations
13.
Nakamura, Yasushi, Hironao Yasuoka, Masahiko Tsujimoto, et al.. (2003). Clinicopathological Significance of Vascular Endothelial Growth Factor-C in Breast Carcinoma with Long-Term Follow-Up. Modern Pathology. 16(4). 309–314. 71 indexed citations
14.
Tang, Weihua, Yasushi Nakamura, Masahiko Tsujimoto, et al.. (2002). Heparanase: A Key Enzyme in Invasion and Metastasis of Gastric Carcinoma. Modern Pathology. 15(6). 593–598. 87 indexed citations
15.
Yang, Qifeng, Misa Nakamura, Yasushi Nakamura, et al.. (2002). Two-hit inactivation of FHIT by loss of heterozygosity and hypermethylation in breast cancer.. PubMed. 8(9). 2890–3. 52 indexed citations
16.
Yang, Qifeng, Goro Yoshimura, Takaomi Suzuma, et al.. (2001). Clinicopathological significance of fragile histidine triad transcription protein expression in breast carcinoma.. PubMed. 7(12). 3869–73. 27 indexed citations
17.
Nakao, Makoto, Misa Nakamura, Yuko Nishimoto, et al.. (2001). Technical aspects of pig model in living-related small intestinal transplantation. Asian Journal of Surgery. 24(4). 353–356. 5 indexed citations
18.
Yang, Qifeng, Mattia Barbareschi, Ichiro Mori, et al.. (2001). Prognostic value of thymidine phosphorylase expression in breast carcinoma. International Journal of Cancer. 97(4). 512–517. 34 indexed citations
19.
Taniguchi, Emiko, et al.. (1999). Bone and cartilage forming malignant tumor of breast-Osteosarcoma of breast.. The Journal of the Japanese Society of Clinical Cytology. 38(3). 272–275.
20.
Jing, Xuefeng, et al.. (1997). Detection of Epstein-Barr Virus DNA in Gastric Carcinoma with Lymphoid Stroma. Viral Immunology. 10(1). 49–58. 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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