Kaihei Kojima

1.2k total citations
8 papers, 981 citations indexed

About

Kaihei Kojima is a scholar working on Plant Science, Epidemiology and Cell Biology. According to data from OpenAlex, Kaihei Kojima has authored 8 papers receiving a total of 981 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Plant Science, 4 papers in Epidemiology and 4 papers in Cell Biology. Recurrent topics in Kaihei Kojima's work include Plant-Microbe Interactions and Immunity (6 papers), Fungal Infections and Studies (3 papers) and Fungal and yeast genetics research (3 papers). Kaihei Kojima is often cited by papers focused on Plant-Microbe Interactions and Immunity (6 papers), Fungal Infections and Studies (3 papers) and Fungal and yeast genetics research (3 papers). Kaihei Kojima collaborates with scholars based in Japan and United States. Kaihei Kojima's co-authors include Joseph Heitman, Yong‐Sun Bahn, Gary M. Cox, Yoshitaka Takano, Tetsuro Okuno, Chihiro Tanaka, Akira Yoshimi, Taisei Kikuchi and Shinichi Ohashi and has published in prestigious journals such as Molecular Microbiology, Molecular Biology of the Cell and Microbiology.

In The Last Decade

Kaihei Kojima

8 papers receiving 963 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kaihei Kojima Japan	7	652	514	298	287	228	8	981
Ci Fu United States	16	339 0.5×	458 0.9×	303 1.0×	355 1.2×	149 0.7×	27	861
Siegfried Salomon Germany	9	650 1.0×	273 0.5×	129 0.4×	117 0.4×	418 1.8×	10	910
Karine Dementhon France	12	378 0.6×	401 0.8×	140 0.5×	175 0.6×	137 0.6×	20	715
Anke Burmester Germany	20	274 0.4×	383 0.7×	90 0.3×	527 1.8×	582 2.6×	51	1.1k
Silvia Calo Spain	12	380 0.6×	315 0.6×	291 1.0×	272 0.9×	77 0.3×	17	812
Balázs Brankovics Netherlands	17	675 1.0×	219 0.4×	128 0.4×	148 0.5×	624 2.7×	28	949
Kyongyong Jung South Korea	8	645 1.0×	298 0.6×	93 0.3×	54 0.2×	566 2.5×	9	905
Lilian Pereira Silva Brazil	17	244 0.4×	270 0.5×	236 0.8×	114 0.4×	115 0.5×	26	576
Peter M. Mirabito United States	14	385 0.6×	777 1.5×	153 0.5×	40 0.1×	313 1.4×	16	1.1k
J. Pedersen Australia	10	335 0.5×	192 0.4×	67 0.2×	358 1.2×	467 2.0×	12	771

Countries citing papers authored by Kaihei Kojima

Since Specialization

Citations

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

Fields of papers citing papers by Kaihei Kojima

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kaihei Kojima

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

All Works

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8 of 8 papers shown

Kojima, Kaihei, et al.. (2020). Proteomic analysis on Aspergillus strains that are useful for industrial enzyme production. Bioscience Biotechnology and Biochemistry. 84(11). 2241–2252. 2 indexed citations

Bahn, Yong‐Sun, Kaihei Kojima, Gary M. Cox, & Joseph Heitman. (2006). A Unique Fungal Two-Component System Regulates Stress Responses, Drug Sensitivity, Sexual Development, and Virulence ofCryptococcus neoformans. Molecular Biology of the Cell. 17(7). 3122–3135. 190 indexed citations

Kojima, Kaihei, Yong‐Sun Bahn, & Joseph Heitman. (2006). Calcineurin, Mpk1 and Hog1 MAPK pathways independently control fludioxonil antifungal sensitivity in Cryptococcus neoformans. Microbiology. 152(3). 591–604. 111 indexed citations

Bahn, Yong‐Sun, Kaihei Kojima, Gary M. Cox, & Joseph Heitman. (2005). Specialization of the HOG Pathway and Its Impact on Differentiation and Virulence ofCryptococcus neoformans. Molecular Biology of the Cell. 16(5). 2285–2300. 216 indexed citations

Yoshimi, Akira, Kaihei Kojima, Yoshitaka Takano, & Chihiro Tanaka. (2005). Group III Histidine Kinase Is a Positive Regulator of Hog1-Type Mitogen-Activated Protein Kinase in Filamentous Fungi. Eukaryotic Cell. 4(11). 1820–1828. 111 indexed citations

Kojima, Kaihei, Yoshitaka Takano, Akira Yoshimi, et al.. (2004). Fungicide activity through activation of a fungal signalling pathway. Molecular Microbiology. 53(6). 1785–1796. 199 indexed citations

Kojima, Kaihei, et al.. (2002). The Mitogen-Activated Protein Kinase Gene MAF1 Is Essential for the Early Differentiation Phase of Appressorium Formation in Colletotrichum lagenarium. Molecular Plant-Microbe Interactions. 15(12). 1268–1276. 84 indexed citations

Takano, Yoshitaka, et al.. (2001). Proper Regulation of Cyclic AMP-Dependent Protein Kinase Is Required for Growth, Conidiation, and Appressorium Function in the Anthracnose Fungus Colletotrichum lagenarium. Molecular Plant-Microbe Interactions. 14(10). 1149–1157. 68 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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