Mika Nishihara

1.2k total citations
9 papers, 996 citations indexed

About

Mika Nishihara is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Mika Nishihara has authored 9 papers receiving a total of 996 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Immunology and 3 papers in Oncology. Recurrent topics in Mika Nishihara's work include Chemical Synthesis and Analysis (3 papers), T-cell and B-cell Immunology (3 papers) and Cytokine Signaling Pathways and Interactions (3 papers). Mika Nishihara is often cited by papers focused on Chemical Synthesis and Analysis (3 papers), T-cell and B-cell Immunology (3 papers) and Cytokine Signaling Pathways and Interactions (3 papers). Mika Nishihara collaborates with scholars based in Japan, Germany and United States. Mika Nishihara's co-authors include Masaaki Murakami, Toshio Hirano, Chika Kitabayashi, Hideki Ogura, Mineko Tsuruoka, Yoichiro Iwakura, Yuko Okuyama, Katsuhiko Ishihara, Masayuki Izumi and Ryo Okamoto and has published in prestigious journals such as The Journal of Experimental Medicine, Immunity and Endocrinology.

In The Last Decade

Mika Nishihara

9 papers receiving 983 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mika Nishihara Japan	7	522	292	246	124	83	9	996
Julie Carman United States	19	772 1.5×	441 1.5×	287 1.2×	129 1.0×	102 1.2×	32	1.4k
Denise Gretener Switzerland	13	554 1.1×	532 1.8×	217 0.9×	119 1.0×	59 0.7×	15	1.3k
Toru Miura Japan	18	1.1k 2.1×	342 1.2×	161 0.7×	110 0.9×	64 0.8×	31	1.6k
Barbara P. Vistica United States	22	744 1.4×	352 1.2×	230 0.9×	186 1.5×	67 0.8×	38	1.4k
Shigeki Miyawaki Japan	17	660 1.3×	323 1.1×	106 0.4×	92 0.7×	47 0.6×	31	1.3k
Eva Reali Italy	21	837 1.6×	295 1.0×	212 0.9×	137 1.1×	54 0.7×	50	1.2k
Scott D. Bercury United States	12	324 0.6×	374 1.3×	128 0.5×	130 1.0×	32 0.4×	12	1.2k
Ingrid Boehm Australia	13	152 0.3×	358 1.2×	167 0.7×	124 1.0×	98 1.2×	20	865
Srividya Sriskantharajah United Kingdom	12	355 0.7×	382 1.3×	239 1.0×	37 0.3×	43 0.5×	15	1.0k
Masafumi Arima Japan	21	1.0k 1.9×	307 1.1×	229 0.9×	191 1.5×	130 1.6×	83	1.9k

Countries citing papers authored by Mika Nishihara

Since Specialization

Citations

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

Fields of papers citing papers by Mika Nishihara

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mika Nishihara

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

All Works

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9 of 9 papers shown

Murakami, Masumi, Mika Nishihara, Katsunari Tezuka, et al.. (2016). Chemical synthesis of erythropoietin glycoforms for insights into the relationship between glycosylation pattern and bioactivity. Science Advances. 2(1). e1500678–e1500678. 99 indexed citations

Nishihara, Mika, et al.. (2016). Enhanced transgene expression by plasmid-specific recruitment of histone acetyltransferase. Journal of Bioscience and Bioengineering. 123(3). 277–280. 5 indexed citations

Izumi, Masayuki, et al.. (2014). Chemical Synthesis of a Synthetic Analogue of the Sialic Acid‐Binding Lectin Siglec‐7. ChemBioChem. 15(17). 2503–2507. 6 indexed citations

Kajihara, Yasuhiro, et al.. (2014). Efficient synthesis of polypeptide‐α‐thioester by the method combining polypeptide expression and chemical activation for the semi‐synthesis of interferon‐γ having oligosaccharides. Journal of Peptide Science. 20(12). 958–963. 19 indexed citations

Morimoto, Kazushi, Eri Segi‐Nishida, Mika Nishihara, et al.. (2009). RhoA/Rho Kinase Signaling in the Cumulus Mediates Extracellular Matrix Assembly. Endocrinology. 150(7). 3345–3352. 37 indexed citations

Atsumi, Toru, Masae Sato, Daisuke Kamimura, et al.. (2008). IFN-γ expression in CD8+ T cells regulated by IL-6 signal is involved in superantigen-mediated CD4+ T cell death. International Immunology. 21(1). 73–80. 15 indexed citations

Ogura, Hideki, Masaaki Murakami, Yuko Okuyama, et al.. (2008). Interleukin-17 Promotes Autoimmunity by Triggering a Positive-Feedback Loop via Interleukin-6 Induction. Immunity. 29(4). 628–636. 464 indexed citations

Nishihara, Mika, Hideki Ogura, Naoko Ueda, et al.. (2007). IL-6–gp130–STAT3 in T cells directs the development of IL-17+ Th with a minimum effect on that of Treg in the steady state. International Immunology. 19(6). 695–702. 215 indexed citations

Kamimura, Daisuke, Hokuto Kamon, Mika Nishihara, et al.. (2006). Autoimmune arthritis associated with mutated interleukin (IL)-6 receptor gp130 is driven by STAT3/IL-7–dependent homeostatic proliferation of CD4+ T cells. The Journal of Experimental Medicine. 203(6). 1459–1470. 136 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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