Hajime Takei

4.2k total citations · 1 hit paper
107 papers, 2.6k citations indexed

About

Hajime Takei is a scholar working on Oncology, Surgery and Epidemiology. According to data from OpenAlex, Hajime Takei has authored 107 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Oncology, 29 papers in Surgery and 21 papers in Epidemiology. Recurrent topics in Hajime Takei's work include Drug Transport and Resistance Mechanisms (38 papers), Neonatal Health and Biochemistry (14 papers) and Pediatric Hepatobiliary Diseases and Treatments (14 papers). Hajime Takei is often cited by papers focused on Drug Transport and Resistance Mechanisms (38 papers), Neonatal Health and Biochemistry (14 papers) and Pediatric Hepatobiliary Diseases and Treatments (14 papers). Hajime Takei collaborates with scholars based in Japan, United States and Sweden. Hajime Takei's co-authors include Hiroshi Nittono, Genta Kakiyama, William M. Pandak, Jasmohan S. Bajaj, Phillip B. Hylemon, Patrick M. Gillevet, Douglas M. Heuman, Michael Fuchs, Akina Muto and Masoumeh Sikaroodi and has published in prestigious journals such as Physical Review Letters, Journal of Clinical Oncology and Physical review. B, Condensed matter.

In The Last Decade

Hajime Takei

101 papers receiving 2.5k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Modulation of the fecal bile acid profile by gut microbiota in cirrhosis

2013 619 citations Genta Kakiyama, William M. Pandak et al. profile →

Peers

Countries citing papers authored by Hajime Takei

Since Specialization

Citations

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

Fields of papers citing papers by Hajime Takei

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hajime Takei

This figure shows the co-authorship network connecting the top 25 collaborators of Hajime Takei. A scholar is included among the top collaborators of Hajime Takei 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 Hajime Takei. Hajime Takei 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	A Comprehensive Analysis of Serum and Urine Bile Acid Profiles in Chronic Kidney Disease: An Exploratory Study of Clinical Associations 2026 ·Nephrology ·(unknown), Hiroshi Nittono, Hajime Takei, Maki Murakoshi, (unknown), (unknown), (unknown)	0
2	Rapid in vivo evaluation system for cholestasis-related genes in mice with humanized bile acid profiles 2024 ·Hepatology Communications ·(unknown), (unknown), (unknown), Hajime Takei, Akihiro Asai, Hiroshi Nittono, Hiroyuki Kusuhara, Hisamitsu Hayashi	1
3	Navigating cholestasis: identifying inborn errors of bile acid metabolism for precision diagnosis 2024 ·Frontiers in Pediatrics ·Hiroshi Nittono, Mitsuyoshi Suzuki, Hiromi Suzuki, Satoru Sugimoto, Jun Mori, (unknown), (unknown), Hisamitsu Hayashi, Hajime Takei, Akihiko Kimura	2
4	Inborn errors of bile acid metabolism in Japan 2023 ·Pediatrics International ·Tatsuki Mizuochi, Hajime Takei, Hiroshi Nittono, Akihiko Kimura	5
5	Insulin dysregulation drives mitochondrial cholesterol metabolite accumulation: initiating hepatic toxicity in nonalcoholic fatty liver disease 2023 ·Journal of Lipid Research ·(unknown), Daniel Rodrı́guez-Agudo, Mitsuyoshi Suzuki, (unknown), (unknown), (unknown), Lianyong Su, Huiping Zhou, Qun Chen, Edward J. Lesnefsky, (unknown), (unknown), Hajime Takei, Hiroshi Nittono, Michael Fuchs, William M. Pandak, Genta Kakiyama	9
6	Dried blood spot-based newborn screening for bile acid synthesis disorders, Zellweger spectrum disorder, and Niemann-Pick type C1 by detection of bile acid metabolites 2023 ·Molecular Genetics and Metabolism ·(unknown), Mitsuyoshi Suzuki, Hajime Takei, (unknown), Jun Mori, Satoru Sugimoto, Kazuo Imagawa, Ryusuke Nambu, (unknown), (unknown), Kenji Ihara, Hisamitsu Hayashi, Kei Murayama, Genta Kakiyama, Hiroshi Nittono, Toshiaki Shimizu	3
7	Coffee modulates insulin-hepatocyte nuclear factor-4α-Cyp7b1 pathway and reduces oxysterol-driven liver toxicity in a nonalcoholic fatty liver disease mouse model 2022 ·American Journal of Physiology-Gastrointestinal and Liver Physiology ·Genta Kakiyama, (unknown), Daniel Rodrı́guez-Agudo, Rebecca Martin, Hajime Takei, (unknown), (unknown), Mitsuyoshi Suzuki, Hiroshi Nittono, Michael Fuchs, Douglas M. Heuman, Huiping Zhou, William M. Pandak	12
8	Berberine alters gut microbial function through modulation of bile acids 2021 ·BMC Microbiology ·Patricia G. Wolf, Saravanan Devendran, Heidi L. Doden, Lindsey K. Ly, Tyler Moore, Hajime Takei, Hiroshi Nittono, Tsuyoshi Murai, Takao Kurosawa, George E. Chlipala, Stefan J. Green, Genta Kakiyama, Purna Kashyap, Vance J. McCracken, H. Rex Gaskins, Patrick M. Gillevet, Jason M. Ridlon	26
9	Urinary and serum oxysterols in children: developmental pattern and potential biomarker for pediatric liver disease 2020 ·Scientific Reports ·(unknown), Tatsuki Mizuochi, Hajime Takei, (unknown), (unknown), (unknown), Masahiro Kinoshita, Naoki Hashizume, Yushiro Yamashita, Hiroshi Nittono, Akihiko Kimura	8
10	Mitochondrial oxysterol biosynthetic pathway gives evidence for CYP7B1 as controller of regulatory oxysterols 2019 ·The Journal of Steroid Biochemistry and Molecular Biology ·Genta Kakiyama, Dalila Marques, Hajime Takei, Hiroshi Nittono, Sandra K. Erickson, Michael Fuchs, Daniel Rodrı́guez-Agudo, Gregorio Gil, Phillip B. Hylemon, Huiping Zhou, Jasmohan S. Bajaj, William M. Pandak	39
11	<b><i>Bifidobacterium</i></b> Supplementation of Colostrum and Breast Milk Enhances Weight Gain and Metabolic Responses Associated with Microbiota Establishment in Very-Preterm Infants 2019 ·PubMed ·Tatsuo Oshiro, Satoru Nagata, Chongxin Wang, Takuya Takahashi, Hirokazu Tsuji, Takashi Asahara, Koji Nomoto, Hajime Takei, Hiroshi Nittono, Yuichiro Yamashiro	19
12	Bile Acids Protect Expanding Hematopoietic Stem Cells from Unfolded Protein Stress in Fetal Liver 2016 ·Cell stem cell ·Valgarður Sigurðsson, Hajime Takei, (unknown), Višnja Radulović, Roman Galeev, Kavitha Siva, L.M. Fredrik Leeb-Lundberg, Takashi Iida, Hiroshi Nittono, Kenichi Miharada	84
13	Distinguishing primary from secondary Δ ⁴ ‐3‐oxosteroid 5β‐reductase ( SRD 5B1, AKR 1D1 ) deficiency by urinary steroid analysis 2014 ·Clinical Endocrinology ·Tadahiro Yanagi, Tatsuki Mizuochi, Keiko Homma, (unknown), Yoshitaka Seki, Tomonobu Hasegawa, Hajime Takei, Hiroshi Nittono, Takao Kurosawa, Toyojiro Matsuishi, Akihiko Kimura	2
14	A simple and accurate HPLC method for fecal bile acid profile in healthy and cirrhotic subjects: validation by GC-MS and LC-MS 2014 ·Journal of Lipid Research ·Genta Kakiyama, Akina Muto, Hajime Takei, Hiroshi Nittono, Tsuyoshi Murai, Takao Kurosawa, Alan F. Hofmann, William M. Pandak, Jasmohan S. Bajaj	109
15	Determination of 3β-hydroxy-Δ5-bile acids and related compounds in biological fluids of patients with cholestasis by liquid chromatography–tandem mass spectrometry 2013 ·Journal of Chromatography B ·Tsuyoshi Murai, (unknown), (unknown), Hiroshi Nittono, Hajime Takei, Akina Muto, Akihiko Kimura, Takao Kurosawa	11
16	Detection of Δ4-3-oxo-steroid 5β-reductase deficiency by LC–ESI-MS/MS measurement of urinary bile acids 2012 ·Journal of Chromatography B ·Akina Muto, Hajime Takei, (unknown), Tsuyoshi Murai, Takao Kurosawa, Shoujiro Ogawa, Takashi Iida, Shigeo Ikegawa, Jun Mori, Akira Ohtake, Takayuki Hoshina, Tatsuki Mizuochi, Akihiko Kimura, Alan F. Hofmann, Lee R. Hagey, Hiroshi Nittono	35
17	3β‐hydroxy‐Δ⁵‐C₂₇‐steroid dehydrogenase/isomerase deficiency in a patient who underwent oral bile acid therapy for 10 years and delivered two healthy infants 2010 ·Pediatrics International ·Hiroshi Nittono, Hajime Takei, (unknown), Toshiaki Shimizu, Masakazu Kobayashi, Michio Koike, Tsuyoshi Murai, Takao Kurosawa, (unknown)	7
18	Diagnostic determination system for high‐risk screening for inborn errors of bile acid metabolism based on an analysis of urinary bile acids using gas chromatography–mass spectrometry: Results for 10 years in Japan 2009 ·Pediatrics International ·Hiroshi Nittono, Hajime Takei, (unknown), Akihiko Kimura, Toshiaki Shimizu, Takao Kurosawa, (unknown), Mizuho Une	15
19	Loosening of supplemental cable in transarticular screw fixation and bone grafting 1998 ·Journal of orthopaedic surgery ·Tomonobu Ito, (unknown), Hajime Takei, Kenji Fueki	3
20	Breast conserving surgery with nipple resection. 1996 ·PubMed ·Yuichi Iino, Michio Maemura, Hajime Takei, Jun Horiguchi, Tomohiro Ishikita, Yukio Koibuchi, (unknown), (unknown), (unknown), Takao Yokoe, (unknown), Y Morishita	5

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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