J.B. Brown

2.0k citations

32 papers · 893 indexed · h-index 17

Co-authors: Yasushi Okuno Daniel Reker Toshiyuki Sakaeda Kaori Kadoyama Petra Schneider Gisbert Schneider Rajes Qvist L. F. Blackwell
Topics: Computational Drug Discovery Methods (11 papers)Protein Structure and Dynamics (6 papers)Machine Learning in Materials Science (3 papers)
Cited by: Reproductive Medicine Toxicology Computational Theory and Mathematics
Journals: SHILAP Revista de lepidopterologíaAmerican Journal of Psychiatry Scientific Reports
Partner nations: Japan United States Germany

In The Last Decade

J.B. Brown

31 papers receiving 848 citations

Peers

Countries citing papers authored by J.B. Brown

Since Specialization

Citations

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

Fields of papers citing papers by J.B. Brown

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J.B. Brown. 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 J.B. Brown. The network helps show where J.B. Brown may publish in the future.

Co-authorship network of co-authors of J.B. Brown

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Mutation burden-orthogonal tumor genomic subtypes delineate responses to immune checkpoint therapy 2022 ·Journal for ImmunoTherapy of Cancer ·Shiro Takamatsu,Junzo Hamanishi,J.B. Brown,Ken Yamaguchi,Koji Yamanoi,Kosuke Murakami,Osamu Gotoh,Seiichi Mori,Masaki Mandai,Noriomi Matsumura	4
2	Combination of gene set signatures correlates with response to nivolumab in platinum-resistant ovarian cancer 2021 ·Scientific Reports ·Ryusuke Murakami,Junzo Hamanishi,J.B. Brown,Kaoru Abiko,Koji Yamanoi,Mana Taki,Yuko Hosoe,Ken Yamaguchi,Tsukasa Baba,Noriomi Matsumura,Ikuo Konishi,Masaki Mandai	4
3	Figla promotes secondary follicle growth in mature mice 2021 ·Scientific Reports ·(unknown),Akihito Horie,(unknown),Yukiyasu Sato,Shiro Takamatsu,J.B. Brown,Miki Sugimoto,Junzo Hamanishi,Eiji Kondoh,Noriomi Matsumura,Masaki Mandai	6
4	Identification of Qk as a Glial Precursor Cell Marker that Governs the Fate Specification of Neural Stem Cells to a Glial Cell Lineage 2020 ·Stem Cell Reports ·Akihide Takeuchi,Yuji Takahashi,Kei Iida,(unknown),(unknown),Mikako Ito,J.B. Brown,Kinji Ohno,Kinichi Nakashima,Masatoshi Hagiwara	18
5	Predicting protein-ligand interactions based on bow-pharmacological space and Bayesian additive regression trees 2019 ·Scientific Reports ·Li Li,Ching Chiek Koh,Daniel Reker,J.B. Brown,Haishuai Wang,(unknown),(unknown),Hao Dai,(unknown),Luonan Chen,Dong‐Qing Wei	42
6	Loss of Sfpq Causes Long-Gene Transcriptopathy in the Brain 2018 ·Cell Reports ·Akihide Takeuchi,Kei Iida,Toshiaki Tsubota,(unknown),(unknown),J.B. Brown,Kensuke Ninomiya,Mikako Ito,Hiroshi Kimurâ,Takaya Abe,Hiroshi Kiyonari,Kinji Ohno,Masatoshi Hagiwara	65
7	Selection of Informative Examples in Chemogenomic Datasets 2018 ·Methods in molecular biology ·Daniel Reker,J.B. Brown	13
8	Exome Sequencing Landscape Analysis in Ovarian Clear Cell Carcinoma Shed Light on Key Chromosomal Regions and Mutation Gene Networks 2017 ·American Journal Of Pathology ·Ryusuke Murakami,Noriomi Matsumura,J.B. Brown,Koichiro Higasa,(unknown),Mayumi Kamada,Hisham Abou-Taleb,Yuko Hosoe,(unknown),Ken Yamaguchi,Kaoru Abiko,Junzo Hamanishi,Tsukasa Baba,Masafumi Koshiyama,Yasushi Okuno,Ryo Yamada,Fumihiko Matsuda,Ikuo Konishi,Masaki Mandai	99
9	Prediction of taxane and platinum sensitivity in ovarian cancer based on gene expression profiles 2016 ·Gynecologic Oncology ·Ryusuke Murakami,Noriomi Matsumura,J.B. Brown,Zhipeng Wang,Ken Yamaguchi,Kaoru Abiko,Yumiko Yoshioka,Junzo Hamanishi,Tsukasa Baba,Masafumi Koshiyama,Masaki Mandai,Ryo Yamada,Ikuo Konishi	27
10	Antipsychotics-Associated Serious Adverse Events in Children: An Analysis of the FAERS Database 2015 ·International Journal of Medical Sciences ·(unknown),Kaori Kadoyama,J.B. Brown,Tsutomu Nakamura,Ikuya Miki,(unknown),Toshiyuki Sakaeda,Yasushi Okuno	33
11	Establishment of a terminal prognosis prediction model by applying time series analysis to real-world data 2015 ·Annals of Oncology ·Yu Uneno,(unknown),Masashi Kanai,Akiko Tamon,Kazuya Okamoto,Yoshitaka Nishikawa,J.B. Brown,Shigemi Matsumoto,Yasushi Okuno,Manabu Muto	1
12	Reliable pre-eclampsia pathways based on multiple independent microarray data sets 2014 ·Molecular Human Reproduction ·Kaoru Kawasaki,Eiji Kondoh,Yoshitsugu Chigusa,(unknown),Ryusuke Murakami,Haruta Mogami,J.B. Brown,Yasushi Okuno,Ikuo Konishi	16
13	Constructing a Foundational Platform Driven by Japan’s K Supercomputer for Next‐Generation Drug Design 2014 ·Molecular Informatics ·J.B. Brown,Masahiko Nakatsui,Yasushi Okuno	10
14	Computational chemogenomics: Is it more than inductive transfer? 2014 ·Journal of Computer-Aided Molecular Design ·J.B. Brown,Yasushi Okuno,Gilles Marcou,Alexandre Varnek,Dragos Horvath	22
15	Adverse Event Profiles of 5-Fluorouracil and Capecitabine: Data Mining of the Public Version of the FDA Adverse Event Reporting System, AERS, and Reproducibility of Clinical Observations 2012 ·International Journal of Medical Sciences ·Kaori Kadoyama,Ikuya Miki,Takao Tamura,J.B. Brown,Toshiyuki Sakaeda,Yasushi Okuno	54
16	Hypersensitivity reactions to anticancer agents: Data mining of the public version of the FDA adverse event reporting system, AERS 2011 ·Journal of Experimental & Clinical Cancer Research ·Kaori Kadoyama,Akiko Kuwahara,Motohiro Yamamori,J.B. Brown,Toshiyuki Sakaeda,Yasushi Okuno	68
17	Identification of novel DNA repair proteins via primary sequence, secondary structure, and homology 2009 ·BMC Bioinformatics ·J.B. Brown,Tatsuya Akutsu	24
18	Multiple methods for protein side chain packing using maximum weight cliques. 2006 ·PubMed ·J.B. Brown,(unknown),Etsuji Tomita,Tatsuya Akutsu	9
19	The impact of low prenatal vitamin D on brain development: using an animal model to examine the vitamin D hypothesis of schizophrenia 2001 ·Schizophrenia Research ·John J. McGrath,François Féron,Darryl W. Eyles,J.B. Brown,Alan Mackay‐Sim	5
20	Development of mouse ovarian follicles from primary to preovulatory stages in vitro 1990 ·Reproduction ·Rajes Qvist,L. F. Blackwell,Harold Bourne,J.B. Brown	72

About J.B. Brown

J.B. Brown is a scholar working on Toxicology, Computational Theory and Mathematics and Reproductive Medicine, having authored 32 papers that have together received 893 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (11 papers), Protein Structure and Dynamics (6 papers) and Machine Learning in Materials Science (3 papers). The work is most often cited by research in Reproductive Medicine (153 citations), Toxicology (48 citations) and Computational Theory and Mathematics (219 citations). J.B. Brown has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Yasushi Okuno, Daniel Reker, Toshiyuki Sakaeda, Kaori Kadoyama, Petra Schneider, Gisbert Schneider, Rajes Qvist, L. F. Blackwell, Harold Bourne and Gilles Marcou. Their work appears in journals such as SHILAP Revista de lepidopterología, American Journal of Psychiatry and Scientific Reports.

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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