Aya Jodo

604 total citations
10 papers, 286 citations indexed

About

Aya Jodo is a scholar working on Immunology, Physiology and Physiology. According to data from OpenAlex, Aya Jodo has authored 10 papers receiving a total of 286 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Immunology, 4 papers in Physiology and 3 papers in Physiology. Recurrent topics in Aya Jodo's work include Reproductive biology and impacts on aquatic species (4 papers), Asthma and respiratory diseases (3 papers) and Hypothalamic control of reproductive hormones (2 papers). Aya Jodo is often cited by papers focused on Reproductive biology and impacts on aquatic species (4 papers), Asthma and respiratory diseases (3 papers) and Hypothalamic control of reproductive hormones (2 papers). Aya Jodo collaborates with scholars based in Japan, United States and Italy. Aya Jodo's co-authors include Hironori Ando, Akihisa Urano, Kimie Fujita, Tomomitsu Hirota, Yusuke Nakamura, Mayumi Tamari, Tadao Enomoto, Shigemi Yoshihara, Satoru Doi and Kenji Matsumoto and has published in prestigious journals such as Frontiers in Immunology, Journal of Experimental Biology and American Journal of Respiratory Cell and Molecular Biology.

In The Last Decade

Aya Jodo

9 papers receiving 274 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aya Jodo Japan 8 115 100 91 89 54 10 286
Lakshmi Paniker United States 8 13 0.1× 69 0.7× 16 0.2× 24 0.3× 4 0.1× 12 201
Lawrence M. Lichtenstein United States 14 347 3.0× 149 1.5× 470 5.2× 102 1.1× 11 0.2× 17 653
B. Martínez Colombia 8 87 0.8× 22 0.2× 76 0.8× 26 0.3× 31 264
M. Crippa Italy 12 9 0.1× 46 0.5× 17 0.2× 24 0.3× 3 0.1× 37 396
Renata M. J. Hamvas United Kingdom 14 27 0.2× 21 0.2× 14 0.2× 84 0.9× 26 521
Arantza Vega Spain 13 82 0.7× 127 1.3× 575 6.3× 374 4.2× 27 754
Chao Xiao China 13 12 0.1× 33 0.3× 27 0.3× 8 0.1× 12 0.2× 30 307
Yukihiko Mashima Japan 9 39 0.3× 14 0.1× 18 0.2× 43 0.5× 2 0.0× 11 544
Silvia Aronni Italy 6 25 0.2× 43 0.4× 116 1.3× 36 0.4× 6 374
Radek Vodička Czechia 8 84 0.7× 4 0.0× 5 0.1× 15 0.2× 2 0.0× 35 252

Countries citing papers authored by Aya Jodo

Since Specialization
Citations

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

Fields of papers citing papers by Aya Jodo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aya Jodo

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

All Works

10 of 10 papers shown
1.
Jodo, Aya, et al.. (2025). Fbxo16 mediates degradation of NF-κB p65 subunit and inhibits inflammatory response in dendritic cells. Frontiers in Immunology. 16. 1524110–1524110.
2.
Jodo, Aya, et al.. (2020). PDLIM7 Synergizes With PDLIM2 and p62/Sqstm1 to Inhibit Inflammatory Signaling by Promoting Degradation of the p65 Subunit of NF-κB. Frontiers in Immunology. 11. 1559–1559. 19 indexed citations
3.
Harada, Michishige, Tomomitsu Hirota, Aya Jodo, et al.. (2008). Functional Analysis of the Thymic Stromal Lymphopoietin Variants in Human Bronchial Epithelial Cells. American Journal of Respiratory Cell and Molecular Biology. 40(3). 368–374. 140 indexed citations
4.
Onuma, Takeshi A., Shunpei Sato, Hiroshi Katsumata, et al.. (2008). Activity of the pituitary–gonadal axis is increased prior to the onset of spawning migration of chum salmon. Journal of Experimental Biology. 212(1). 56–70. 18 indexed citations
5.
Azuma, Takeshi, Aya Jodo, Hironori Ando, et al.. (2007). GENE EXPRESSION FOR GONADOTROPIN-RELEASING HORMONES IN DISCRETE BRAIN LOCI OF PRE-MIGRATORY AND HOMING CHUM SALMON. 47. 1 indexed citations
6.
Kaneda‐Nakashima, Kazuko, Tomomitsu Hirota, Kazuhiko Obara, et al.. (2006). An association study of asthma and related phenotypes with polymorphisms in negative regulator molecules of the TLR signaling pathway. Journal of Human Genetics. 51(4). 284–291. 22 indexed citations
7.
Kaneda‐Nakashima, Kazuko, Tomomitsu Hirota, Yoichi Suzuki, et al.. (2006). Association of the RIP2 Gene with Childhood Atopic Asthma. Allergology International. 55(1). 77–83. 22 indexed citations
8.
Jodo, Aya, Takashi Kitahashi, Ramji Kumar Bhandari, et al.. (2005). Seasonal Variation in the Expression of Five Subtypes of Gonadotropin-releasing Hormone Receptor Genes in the Brain of Masu Salmon from Immaturity to Spawning. ZOOLOGICAL SCIENCE. 22(12). 1331–1338. 12 indexed citations
10.
Jodo, Aya, Hironori Ando, & Akihisa Urano. (2003). Five Different Types of Putative GnRH Receptor Gene are Expressed in the Brain of Masu Salmon (Oncorhynchus masou). ZOOLOGICAL SCIENCE. 20(9). 1117–1125. 38 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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