Jun Nakabayashi

927 total citations
29 papers, 637 citations indexed

About

Jun Nakabayashi is a scholar working on Molecular Biology, Immunology and Epidemiology. According to data from OpenAlex, Jun Nakabayashi has authored 29 papers receiving a total of 637 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 10 papers in Immunology and 5 papers in Epidemiology. Recurrent topics in Jun Nakabayashi's work include Immune Cell Function and Interaction (7 papers), Immunotherapy and Immune Responses (5 papers) and Hepatitis B Virus Studies (4 papers). Jun Nakabayashi is often cited by papers focused on Immune Cell Function and Interaction (7 papers), Immunotherapy and Immune Responses (5 papers) and Hepatitis B Virus Studies (4 papers). Jun Nakabayashi collaborates with scholars based in Japan, United States and Austria. Jun Nakabayashi's co-authors include Daisuke Kurotaki, Tomohiko Tamura, Keiko Ozato, Akira Sasaki, Tatsuma Ban, Michio Yamamoto, Hideaki Sato, Naoki Osato, Naomichi Matsumoto and Akira Nishiyama and has published in prestigious journals such as Nature Communications, Blood and Nature Immunology.

In The Last Decade

Jun Nakabayashi

28 papers receiving 635 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jun Nakabayashi Japan 15 300 280 90 56 55 29 637
Gábor Zahuczky Hungary 13 230 0.8× 268 1.0× 43 0.5× 42 0.8× 59 1.1× 27 569
Miguel Marcilla Spain 18 423 1.4× 353 1.3× 92 1.0× 30 0.5× 32 0.6× 32 757
Jason Borawski United States 9 459 1.5× 193 0.7× 59 0.7× 23 0.4× 65 1.2× 11 648
Sheng‐Jiun Wu United States 17 730 2.4× 315 1.1× 206 2.3× 23 0.4× 74 1.3× 32 1.1k
Sharon Hashmueli Israel 11 493 1.6× 296 1.1× 135 1.5× 33 0.6× 86 1.6× 19 848
Pu Zhang China 10 406 1.4× 299 1.1× 79 0.9× 71 1.3× 27 0.5× 20 727
Ioannis F. Voutsas Greece 16 305 1.0× 510 1.8× 305 3.4× 39 0.7× 54 1.0× 36 812
Wei Mei China 13 334 1.1× 293 1.0× 185 2.1× 78 1.4× 130 2.4× 45 802
Qinhong Cao China 15 530 1.8× 182 0.7× 110 1.2× 81 1.4× 29 0.5× 33 824
Anita Diu France 10 446 1.5× 525 1.9× 169 1.9× 61 1.1× 76 1.4× 16 898

Countries citing papers authored by Jun Nakabayashi

Since Specialization
Citations

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

Fields of papers citing papers by Jun Nakabayashi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Nakabayashi

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

All Works

20 of 20 papers shown
1.
Miyakawa, Kei, Yoko Ino, Yayoi Kimura, et al.. (2025). PHD3-VHL axis controls HIV-2 infection through oxygen-dependent hydroxylation and degradation of Vpx. PLoS Pathogens. 21(6). e1013241–e1013241.
2.
Miyake, Kensuke, et al.. (2023). Single cell transcriptomics clarifies the basophil differentiation trajectory and identifies pre-basophils upstream of mature basophils. Nature Communications. 14(1). 2694–2694. 20 indexed citations
3.
Shimizu, Kanako, et al.. (2023). Combination of cancer vaccine with CD122-biased IL-2/anti-IL-2 Ab complex shapes the stem-like effector NK and CD8+ T cells against tumor. Journal for ImmunoTherapy of Cancer. 11(7). e006409–e006409. 7 indexed citations
4.
Fujii, Shin‐ichiro, Toyotaka Kawamata, Kanako Shimizu, et al.. (2022). Reinvigoration of innate and adaptive immunity via therapeutic cellular vaccine for patients with AML. Molecular Therapy — Oncolytics. 27. 315–332. 13 indexed citations
5.
Hori, Takeshi, et al.. (2022). Long-term blast control in high eating quality rice using multilines. Scientific Reports. 12(1). 14880–14880. 1 indexed citations
6.
Murakami, Koichi, Haruka Sasaki, Akira Nishiyama, et al.. (2021). A RUNX–CBFβ-driven enhancer directs the Irf8 dose-dependent lineage choice between DCs and monocytes. Nature Immunology. 22(3). 301–311. 35 indexed citations
7.
Sasaki, Haruka, Koichi Murakami, Akira Nishiyama, et al.. (2021). Compromised anti-tumor–immune features of myeloid cell components in chronic myeloid leukemia patients. Scientific Reports. 11(1). 18046–18046. 6 indexed citations
8.
Ochiai, Kyoko, Amrutha Swaminathan, Hiroki Shima, et al.. (2020). Chromatin Protein PC4 Orchestrates B Cell Differentiation by Collaborating with IKAROS and IRF4. Cell Reports. 33(12). 108517–108517. 19 indexed citations
9.
Akiyama, Tomoko, Ayuko Kimura, Yayoi Kimura, et al.. (2019). Network-guided analysis of hippocampal proteome identifies novel proteins that colocalize with Aβ in a mice model of early-stage Alzheimer’s disease. Neurobiology of Disease. 132. 104603–104603. 15 indexed citations
10.
Kurotaki, Daisuke, Jun Nakabayashi, Akira Nishiyama, et al.. (2018). Transcription Factor IRF8 Governs Enhancer Landscape Dynamics in Mononuclear Phagocyte Progenitors. Cell Reports. 22(10). 2628–2641. 38 indexed citations
11.
Nakamura, Haruko, Hiroko Makihara, Yayoi Kimura, et al.. (2018). Proteome and behavioral alterations in phosphorylation-deficient mutant Collapsin Response Mediator Protein2 knock-in mice. Neurochemistry International. 119. 207–217. 19 indexed citations
12.
Nakabayashi, Jun. (2016). The intracellular dynamics of hepatitis B virus (HBV) replication with reproduced virion “re-cycling”. Journal of Theoretical Biology. 396. 154–162. 9 indexed citations
13.
14.
Kominami, Katsuya, Jun Nakabayashi, Takeharu Nagai, et al.. (2012). The molecular mechanism of apoptosis upon caspase-8 activation: Quantitative experimental validation of a mathematical model. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1823(10). 1825–1840. 50 indexed citations
15.
Nakabayashi, Jun. (2012). A compartmentalization model of hepatitis C virus replication: An appropriate distribution of HCV RNA for the effective replication. Journal of Theoretical Biology. 300. 110–117. 13 indexed citations
16.
Kominami, Katsuya, Takeharu Nagai, Tatsuya Sawasaki, et al.. (2012). In Vivo Imaging of Hierarchical Spatiotemporal Activation of Caspase-8 during Apoptosis. PLoS ONE. 7(11). e50218–e50218. 18 indexed citations
17.
Nakabayashi, Jun & Akira Sasaki. (2010). A mathematical model of the intracellular replication and within host evolution of hepatitis type B virus: Understanding the long time course of chronic hepatitis. Journal of Theoretical Biology. 269(1). 318–329. 12 indexed citations
18.
Nakabayashi, Jun & Akira Sasaki. (2009). The function of temporally ordered viral gene expression in the intracellular replication of herpes simplex virus type 1 (HSV-1). Journal of Theoretical Biology. 261(1). 156–164. 5 indexed citations
19.
Nakabayashi, Jun & Akira Sasaki. (2009). A mathematical model of the stoichiometric control of Smad complex formation in TGF- signal transduction pathway. Journal of Theoretical Biology. 259(2). 389–403. 5 indexed citations
20.
Nakabayashi, Jun & Akira Sasaki. (2004). Optimal phosphorylation step number of intracellular signal-transduction pathway. Journal of Theoretical Biology. 233(3). 413–421. 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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