Mika Nishimura

451 total citations
16 papers, 357 citations indexed

About

Mika Nishimura is a scholar working on Epidemiology, Molecular Biology and Ecology. According to data from OpenAlex, Mika Nishimura has authored 16 papers receiving a total of 357 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Epidemiology, 5 papers in Molecular Biology and 3 papers in Ecology. Recurrent topics in Mika Nishimura's work include Influenza Virus Research Studies (2 papers), Respiratory viral infections research (2 papers) and HIV Research and Treatment (2 papers). Mika Nishimura is often cited by papers focused on Influenza Virus Research Studies (2 papers), Respiratory viral infections research (2 papers) and HIV Research and Treatment (2 papers). Mika Nishimura collaborates with scholars based in Japan, Thailand and Singapore. Mika Nishimura's co-authors include Hiroshi Kaneto, Seizaburo Kashiwagi, Hideyuki Ikematsu, Masahiro Yamamoto, Jun Hayashi, Yong Chong, Masayuki Murata, Shigeki Nabeshima, Norio Iwaki and Kenichi Kawamura and has published in prestigious journals such as Development, Clinical Infectious Diseases and Journal of Nutrition.

In The Last Decade

Mika Nishimura

15 papers receiving 345 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mika Nishimura Japan 8 123 87 83 71 61 16 357
Enrique Espinosa Mexico 14 117 1.0× 58 0.7× 59 0.7× 125 1.8× 106 1.7× 31 398
Morgan R. Little United States 9 112 0.9× 82 0.9× 16 0.2× 105 1.5× 17 0.3× 12 369
Odell D. Jones United States 11 41 0.3× 124 1.4× 27 0.3× 61 0.9× 113 1.9× 27 343
Tarun E. Hutchinson United States 13 60 0.5× 84 1.0× 21 0.3× 256 3.6× 43 0.7× 25 495
Amelia R. Hofstetter United States 9 50 0.4× 62 0.7× 56 0.7× 84 1.2× 10 0.2× 23 254
Anna Hryniewicz Poland 16 163 1.3× 173 2.0× 63 0.8× 412 5.8× 328 5.4× 35 825
Laure Wingertsmann France 7 65 0.5× 168 1.9× 18 0.2× 53 0.7× 206 3.4× 14 442
María I. Berría Argentina 15 60 0.5× 89 1.0× 45 0.5× 65 0.9× 22 0.4× 34 393
Javier Guillén Spain 10 91 0.7× 96 1.1× 122 1.5× 26 0.4× 17 0.3× 15 536
Crescent L. Combe United States 8 73 0.6× 57 0.7× 46 0.6× 119 1.7× 10 0.2× 9 303

Countries citing papers authored by Mika Nishimura

Since Specialization
Citations

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

Fields of papers citing papers by Mika Nishimura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mika Nishimura

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

All Works

16 of 16 papers shown
1.
Nishimura, Mika, et al.. (2025). Recent advances in single-cell RNA sequencing of bacteria: Techniques, challenges, and applications. Journal of Bioscience and Bioengineering. 139(5). 341–346. 1 indexed citations
2.
Nishimura, Mika, Haruko Takeyama, & Masahito Hosokawa. (2023). Enhancing the sensitivity of bacterial single-cell RNA sequencing using RamDA-seq and Cas9-based rRNA depletion. Journal of Bioscience and Bioengineering. 136(2). 152–158. 6 indexed citations
3.
Sasaki, Takashi, et al.. (2013). Torsion of Meckels Diverticulum in a Child. Case Reports in Gastroenterology. 7(1). 14–18. 6 indexed citations
4.
Kawai, Naoki, Tetsunari Maeda, Satoshi Yamauchi, et al.. (2010). Comparison of the clinical symptoms and the effectiveness of neuraminidase inhibitors for patients with pandemic influenza H1N1 2009 or seasonal H1N1 influenza in the 2007–2008 and 2008–2009 seasons. Journal of Infection and Chemotherapy. 17(3). 375–381. 13 indexed citations
5.
Kawai, Naoki, Hideyuki Ikematsu, Nobuo Hirotsu, et al.. (2009). Clinical Effectiveness of Oseltamivir and Zanamivir for Treatment of Influenza A Virus Subtype H1N1 with the H274Y Mutation: A Japanese, Multicenter Study of the 2007–2008 and 2008–2009 Influenza Seasons. Clinical Infectious Diseases. 49(12). 1828–1835. 78 indexed citations
6.
Itoh, Masanobu, et al.. (2008). Duplicated alkaline phosphatase genes in the wild silkworm Bombyx mandarina inhabiting Japan: phylogenetic relationship to the orthologs in Bombyx mori. Journal of insect biotechnology and sericology. 77(2). 71–77. 1 indexed citations
7.
Miyata, Masanori, Mika Nishimura, Takashi Ando, et al.. (2008). Transforming Growth Factor-β Activity in Commercially Available Pasteurized Cow Milk Provides Protection against Inflammation in Mice. Journal of Nutrition. 139(1). 69–75. 39 indexed citations
8.
Kawai, Naoki, Hideyuki Ikematsu, Norio Iwaki, et al.. (2008). Detection of Respiratory Syncytial Virus with Nested RT-PCR and a New Rapid Detection Test Kit in Patients with Influenza-like Illness, Including Elderly Adults. Kansenshogaku zasshi. 82(1). 1–5. 1 indexed citations
9.
Senzaki, Kouji, Masaaki Yoshikawa, Mika Nishimura, et al.. (2008). Dynamic regulation of the expression of neurotrophin receptors by Runx3. Development. 135(9). 1703–1711. 46 indexed citations
10.
Chong, Yong, Hideyuki Ikematsu, Masahiro Yamamoto, et al.. (2004). Increased Frequency of CD27 - (Naive) B Cells and Their Phenotypic Alteration in HIV Type 1-Infected Patients. AIDS Research and Human Retroviruses. 20(6). 621–629. 29 indexed citations
11.
Chong, Yong, Hideyuki Ikematsu, Masahiro Yamamoto, et al.. (2004). Selective CD27 (Memory) B Cell Reduction and Characteristic B Cell Alteration in Drug-Naive and HAART-Treated HIV Type 1-Infected Patients. AIDS Research and Human Retroviruses. 20(2). 219–226. 54 indexed citations
12.
Nishimura, Mika, Ken‐ichi Harada, Makoto Suzuki, et al.. (1994). Structure elucidation of glykenin glycosidic antibiotics from Basidiomycetes sp. V. High-performance liquid chromatographic separation of components of glykenin. Journal of Chromatography A. 664(2). 195–202.
13.
Kishikawa, Masao, Mika Nishimura, Mihoko Sakae, & Masachika Iseki. (1993). The learning ability and motility of senescence accelerated mice (SAM‐P/1) treated with Toki‐Shakuyaku‐San. Phytotherapy Research. 7(7). 6 indexed citations
14.
Nishimura, Mika, et al.. (1992). Selective interaction of a novel anxiolytic SUN 8399 with 5-HT1A receptor. The Japanese Journal of Pharmacology. 58. 316–316. 1 indexed citations
15.
Nishimura, Mika, et al.. (1990). State dependent and/or direct memory retrieval by morphine in mice. Psychopharmacology. 100(1). 27–30. 61 indexed citations
16.
Kishikawa, Masao, et al.. (1990). A Histopathological Study on Senile Changes in the Human Olfactory Bulb. Acta Pathologica Japonica. 40(4). 255–260. 15 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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