Akiko Hosokawa

597 total citations
9 papers, 282 citations indexed

About

Akiko Hosokawa is a scholar working on Surgery, Pathology and Forensic Medicine and Cellular and Molecular Neuroscience. According to data from OpenAlex, Akiko Hosokawa has authored 9 papers receiving a total of 282 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Surgery, 2 papers in Pathology and Forensic Medicine and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Akiko Hosokawa's work include Hypothalamic control of reproductive hormones (2 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (2 papers) and Neuropeptides and Animal Physiology (2 papers). Akiko Hosokawa is often cited by papers focused on Hypothalamic control of reproductive hormones (2 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (2 papers) and Neuropeptides and Animal Physiology (2 papers). Akiko Hosokawa collaborates with scholars based in Japan and Canada. Akiko Hosokawa's co-authors include Shinya Ito, Maaja Sutak, Andrew H. Bell, Rémi Quirion, Evelyn Rubin, Kelly J. Powell, Myla E. Moretti, Brian Milne, Khem Jhamandas and Gideon Koren and has published in prestigious journals such as British Journal of Pharmacology, Journal of Neuroinflammation and Frontiers in Cellular and Infection Microbiology.

In The Last Decade

Akiko Hosokawa

9 papers receiving 277 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Akiko Hosokawa Japan 8 76 75 67 64 52 9 282
Meena Balakrishnan United States 14 197 2.6× 72 1.0× 82 1.2× 31 0.5× 70 1.3× 31 444
Daniela Vejražková Czechia 13 114 1.5× 81 1.1× 97 1.4× 62 1.0× 10 0.2× 36 400
M Leclerc Canada 11 72 0.9× 24 0.3× 131 2.0× 25 0.4× 27 0.5× 28 298
Uday Devaskar United States 14 59 0.8× 63 0.8× 145 2.2× 146 2.3× 23 0.4× 43 513
Irit Szaingurten‐Solodkin Israel 8 136 1.8× 36 0.5× 60 0.9× 35 0.5× 18 0.3× 16 354
Elisa Bouillet Switzerland 9 44 0.6× 50 0.7× 93 1.4× 15 0.2× 30 0.6× 13 338
A. Souvatzoglou Greece 12 22 0.3× 36 0.5× 72 1.1× 61 1.0× 22 0.4× 39 468
A. Berthold Germany 9 15 0.2× 138 1.8× 154 2.3× 42 0.7× 22 0.4× 15 439
Helge Gydesen Denmark 12 43 0.6× 35 0.5× 83 1.2× 160 2.5× 39 0.8× 15 691

Countries citing papers authored by Akiko Hosokawa

Since Specialization
Citations

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

Fields of papers citing papers by Akiko Hosokawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akiko Hosokawa

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

All Works

9 of 9 papers shown
1.
Kishikawa, Toshihiro, Kotaro Ogawa, Daisuke Motooka, et al.. (2020). A Metagenome-Wide Association Study of Gut Microbiome in Patients With Multiple Sclerosis Revealed Novel Disease Pathology. Frontiers in Cellular and Infection Microbiology. 10. 585973–585973. 25 indexed citations
2.
Ogawa, Kotaro, Tatsusada Okuno, Kazuyoshi Hosomichi, et al.. (2019). Next-generation sequencing identifies contribution of both class I and II HLA genes on susceptibility of multiple sclerosis in Japanese. Journal of Neuroinflammation. 16(1). 162–162. 22 indexed citations
3.
Rubin, Evelyn, et al.. (2008). Prenatal exposure to HMG-CoA reductase inhibitors: Effects on fetal and neonatal outcomes. Reproductive Toxicology. 26(2). 175–177. 87 indexed citations
4.
Hosokawa, Akiko, Benjamin Bar‐Oz, & Shinya Ito. (2003). Use of lipid-lowering agents (statins) during pregnancy.. PubMed. 49. 747–9. 30 indexed citations
5.
Izumi, Yukiko, Ke-ita Tatsumi, Shingo Okamoto, et al.. (2001). Analysis of the KAL1 Gene in 19 Japanese Patients with Kallmann Syndrome.. Endocrine Journal. 48(2). 143–149. 19 indexed citations
6.
Powell, Kelly J., Akiko Hosokawa, Andrew H. Bell, et al.. (1999). Comparative effects of cyclo‐oxygenase and nitric oxide synthase inhibition on the development and reversal of spinal opioid tolerance. British Journal of Pharmacology. 127(3). 631–644. 80 indexed citations
7.
Izumi, Yukiko, Ke-ita Tatsumi, Shingo Okamoto, et al.. (1999). A Novel Mutation of the KAL1 Gene in Kallmann Syndrome.. Endocrine Journal. 46(5). 651–658. 11 indexed citations
8.
Okamoto, Shingo, Yukiko Izumi, Akiko Hosokawa, et al.. (1998). AN ADULT CASE OF CONGENITAL ADRENAL HYPERPLASIA DUE TO 21-HYDROXYLASE DEFICIENCY ASSOCIATED WITH BILATERAL ADRENAL MYELOLIPOMA : AN 8-YEAR OBSERVATION OF CLINICAL CHARACTERISTICS DURING STEROID REPLACEMENT THERAPY. 49(2). 147–155. 1 indexed citations
9.
Kurabayashi, Tohru, Norio Yoshino, Akiko Hosokawa, et al.. (1995). Usefulness of CT images for diagnosis of odontogenic maxillary sinusitis. Oral Radiology. 11(2). 21–30. 7 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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