Mitsuru Niihama

993 total citations
9 papers, 796 citations indexed

About

Mitsuru Niihama is a scholar working on Molecular Biology, Plant Science and Cell Biology. According to data from OpenAlex, Mitsuru Niihama has authored 9 papers receiving a total of 796 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Plant Science and 4 papers in Cell Biology. Recurrent topics in Mitsuru Niihama's work include Plant Reproductive Biology (6 papers), Plant Molecular Biology Research (4 papers) and Cellular transport and secretion (4 papers). Mitsuru Niihama is often cited by papers focused on Plant Reproductive Biology (6 papers), Plant Molecular Biology Research (4 papers) and Cellular transport and secretion (4 papers). Mitsuru Niihama collaborates with scholars based in Japan and United States. Mitsuru Niihama's co-authors include Miyo Terao Morita, Masao Tasaka, Nori Kurata, Akihiko Nakano, T. KATO, Hidehiro Fukaki, Ken–Ichi Nonomura, Hajime Ohyanagi, Reina Komiya and Toshiaki Watanabe and has published in prestigious journals such as The Plant Cell, Current Biology and The Plant Journal.

In The Last Decade

Mitsuru Niihama

9 papers receiving 791 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mitsuru Niihama Japan	8	619	619	198	53	31	9	796
Xiaoyun Tan China	14	389 0.6×	373 0.6×	102 0.5×	18 0.3×	10 0.3×	20	499
Nenad Malenica Croatia	11	591 1.0×	723 1.2×	78 0.4×	47 0.9×	14 0.5×	21	813
Klaus Salchert Germany	11	575 0.9×	742 1.2×	58 0.3×	29 0.5×	11 0.4×	13	907
Saeko Kitakura Japan	14	711 1.1×	851 1.4×	240 1.2×	12 0.2×	11 0.4×	20	1.0k
Lukáš Synek Czechia	17	1.0k 1.7×	1.2k 2.0×	302 1.5×	27 0.5×	19 0.6×	21	1.4k
Tony D. Perdue United States	13	692 1.1×	690 1.1×	87 0.4×	39 0.7×	5 0.2×	19	915
Esther M.N. Dohmann Germany	11	683 1.1×	737 1.2×	52 0.3×	24 0.5×	19 0.6×	12	886
Ivan Kulich Czechia	18	823 1.3×	1.1k 1.8×	253 1.3×	28 0.5×	22 0.7×	29	1.3k
Herfried Eisler Austria	9	454 0.7×	428 0.7×	40 0.2×	46 0.9×	16 0.5×	10	585
Maciek Adamowski Austria	11	730 1.2×	950 1.5×	85 0.4×	14 0.3×	24 0.8×	14	1.0k

Countries citing papers authored by Mitsuru Niihama

Since Specialization

Citations

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

Fields of papers citing papers by Mitsuru Niihama

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mitsuru Niihama

This figure shows the co-authorship network connecting the top 25 collaborators of Mitsuru Niihama. A scholar is included among the top collaborators of Mitsuru Niihama 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 Mitsuru Niihama. Mitsuru Niihama 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

1.

Niihama, Mitsuru, et al.. (2015). PCR-based INDEL markers co-dominant between Oryza sativa, japonica cultivars and closely-related wild Oryza species. Breeding Science. 65(4). 357–361. 5 indexed citations

2.

Komiya, Reina, Hajime Ohyanagi, Mitsuru Niihama, et al.. (2014). Rice germline‐specific Argonaute MEL1 protein binds to phasiRNAs generated from more than 700 lincRNAs. The Plant Journal. 78(3). 385–397. 161 indexed citations

3.

Fujita, Masahiro, Yoko Mizuta, Takahiko Kubo, et al.. (2010). Rice Expression Atlas In Reproductive Development. Plant and Cell Physiology. 51(12). 2060–2081. 125 indexed citations

4.

Niihama, Mitsuru, et al.. (2010). gorgon, a Novel Missense Mutation in the SHOOT MERISTEMLESS Gene, Impairs Shoot Meristem Homeostasis in Arabidopsis. Plant and Cell Physiology. 51(4). 621–634. 21 indexed citations

5.

Hashiguchi, Yasuko, Mitsuru Niihama, Tetsuya Takahashi, et al.. (2010). Loss-of-Function Mutations of Retromer Large Subunit Genes Suppress the Phenotype of anArabidopsis zigMutant That Lacks Qb-SNARE VTI11 . The Plant Cell. 22(1). 159–172. 33 indexed citations

6.

Niihama, Mitsuru, et al.. (2009). ZIP Genes Encode Proteins Involved in Membrane Trafficking of the TGN–PVC/Vacuoles. Plant and Cell Physiology. 50(12). 2057–2068. 54 indexed citations

7.

Ebine, Kazuo, Tomohiro Uemura, Tatsuaki Goh, et al.. (2008). A SNARE Complex Unique to Seed Plants Is Required for Protein Storage Vacuole Biogenesis and Seed Development ofArabidopsis thaliana. The Plant Cell. 20(11). 3006–3021. 178 indexed citations

8.

Niihama, Mitsuru, Tomohiro Uemura, Chieko Saito, et al.. (2005). Conversion of Functional Specificity in Qb-SNARE VTI1 Homologues of Arabidopsis. Current Biology. 15(6). 555–560. 36 indexed citations

9.

KATO, T., et al.. (2002). SGR2, a Phospholipase-Like Protein, and ZIG/SGR4, a SNARE, Are Involved in the Shoot Gravitropism of Arabidopsis. The Plant Cell. 14(1). 33–46. 183 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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