Waka Kojima

417 total citations
12 papers, 304 citations indexed

About

Waka Kojima is a scholar working on Molecular Biology, Epidemiology and Cell Biology. According to data from OpenAlex, Waka Kojima has authored 12 papers receiving a total of 304 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 7 papers in Epidemiology and 4 papers in Cell Biology. Recurrent topics in Waka Kojima's work include Autophagy in Disease and Therapy (7 papers), Mitochondrial Function and Pathology (5 papers) and Endoplasmic Reticulum Stress and Disease (4 papers). Waka Kojima is often cited by papers focused on Autophagy in Disease and Therapy (7 papers), Mitochondrial Function and Pathology (5 papers) and Endoplasmic Reticulum Stress and Disease (4 papers). Waka Kojima collaborates with scholars based in Japan and United States. Waka Kojima's co-authors include Koji Yamano, Noriyuki Matsuda, Fumika Koyano, Reika Kikuchi, Keiji Tanaka, Yosuke Demizu, Mikihiko Naito, Takuji Shoda, Junko Kawawaki and Keiji Tanaka and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Cell Biology and The EMBO Journal.

In The Last Decade

Waka Kojima

12 papers receiving 303 citations

Peers

Waka Kojima

EPIDE

MB

NEURO

CB

PHYSI

Reika Kikuchi Japan

Marvin Skulsuppaisarn Australia

Su Jin Ham South Korea

Sarah F. Burnett United States

François Le Guerroué United States

Javier H. Hervás Spain

Tobias Bock-Bierbaum Germany

Amelie J. Müller Germany

Grace Khuu Australia

Wai Kit Lam Australia

Reika Kikuchi Japan

Waka Kojima

248 ×1.4

EPIDE

205 ×1.2

MB

67 ×0.9

NEURO

91 ×1.6

CB

44 ×0.9

PHYSI

Citations per year, relative to Waka Kojima Waka Kojima (= 1×) peers Reika Kikuchi

Countries citing papers authored by Waka Kojima

Since Specialization

Citations

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

Fields of papers citing papers by Waka Kojima

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Waka Kojima

This figure shows the co-authorship network connecting the top 25 collaborators of Waka Kojima. A scholar is included among the top collaborators of Waka 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 Waka Kojima. Waka 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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12 of 12 papers shown

1.

Kikuchi, Reika, et al.. (2024). TBK1 adaptor AZI2/NAP1 regulates NDP52-driven mitochondrial autophagy. Journal of Biological Chemistry. 300(10). 107775–107775. 5 indexed citations

2.

Yamano, Koji, Reika Kikuchi, Waka Kojima, et al.. (2024). Optineurin provides a mitophagy contact site for TBK1 activation. The EMBO Journal. 43(5). 754–779. 31 indexed citations

3.

Yamano, Koji, et al.. (2023). Mitochondrial quality control via organelle and protein degradation. The Journal of Biochemistry. 175(5). 487–494. 5 indexed citations

4.

Yamano, Koji, et al.. (2023). Mitochondrial lipid dynamics regulated by MITOL-mediated ubiquitination. The Journal of Biochemistry. 175(3). 217–219. 1 indexed citations

5.

Kikuchi, Reika, Kenichiro Imai, Waka Kojima, et al.. (2022). Elucidation of ubiquitin-conjugating enzymes that interact with RBR-type ubiquitin ligases using a liquid–liquid phase separation–based method. Journal of Biological Chemistry. 299(2). 102822–102822. 6 indexed citations

6.

Queliconi, Bruno B., Waka Kojima, Mayumi Kimura, et al.. (2021). Unfolding is the driving force for mitochondrial import and degradation of the Parkinson's disease-related protein DJ-1. Journal of Cell Science. 134(22). 6 indexed citations

7.

Kojima, Waka, Koji Yamano, Hidetaka Kosako, et al.. (2021). Mammalian BCAS3 and C16orf70 associate with the phagophore assembly site in response to selective and non-selective autophagy. Autophagy. 17(8). 2011–2036. 14 indexed citations

8.

Yamano, Koji & Waka Kojima. (2021). Molecular functions of autophagy adaptors upon ubiquitin-driven mitophagy. Biochimica et Biophysica Acta (BBA) - General Subjects. 1865(10). 129972–129972. 10 indexed citations

9.

Yamano, Koji, Reika Kikuchi, Waka Kojima, et al.. (2020). Critical role of mitochondrial ubiquitination and the OPTN–ATG9A axis in mitophagy. The Journal of Cell Biology. 219(9). 150 indexed citations

10.

Matsuda, Noriyuki, Mayumi Kimura, Bruno B. Queliconi, et al.. (2017). Parkinson’s disease-related DJ-1 functions in thiol quality control against aldehyde attack in vitro. Scientific Reports. 7(1). 12816–12816. 47 indexed citations

11.

Takano, Kazunori, Hiro Takahashi, Waka Kojima, et al.. (2017). TBP-like Protein (TLP) Disrupts the p53-MDM2 Interaction and Induces Long-lasting p53 Activation. Journal of Biological Chemistry. 292(8). 3201–3212. 8 indexed citations

12.

Kojima, Waka, Kei Okatsu, Bruno B. Queliconi, et al.. (2016). Unexpected mitochondrial matrix localization of Parkinson's disease‐related DJ‐1 mutants but not wild‐type DJ‐1. Genes to Cells. 21(7). 772–788. 21 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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