Yumi Motooka

584 citations

22 papers · 438 indexed · h-index 12

Co-authors: Mitsuhiro Nakamura Haruna Hatahira Sayaka Sasaoka Junko Abe Toshinobu Matsui Yasutomi Kinosada Shiori Hasegawa Natsumi Ueda
Topics: Pharmacovigilance and Adverse Drug Reactions (10 papers)Pharmacy and Medical Practices (8 papers)Drug-Induced Adverse Reactions (4 papers)
Cited by: Toxicology Pharmacology Pharmacy
Journals: SHILAP Revista de lepidopterologíaPLoS ONE Biological and Pharmaceutical Bulletin
Partner nations: Japan United States Kenya

In The Last Decade

Yumi Motooka

21 papers receiving 428 citations

Peers

Countries citing papers authored by Yumi Motooka

Since Specialization

Citations

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

Fields of papers citing papers by Yumi Motooka

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yumi Motooka

This figure shows the co-authorship network connecting the top 25 collaborators of Yumi Motooka. A scholar is included among the top collaborators of Yumi Motooka 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 Yumi Motooka. Yumi Motooka 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	Alcohol‐induced impaired insulin secretion in a Japanese population: 5‐year follow up in the Gifu Diabetes Study 2020 ·Journal of Diabetes Investigation ·Natsumi Ueda,Mayumi Yamamoto,Mitsuhiro Nakamura,Yumi Motooka,(unknown),(unknown),Shino Oba,Yukio Horikawa,Chisato Nagata,Daisuke Yabe,(unknown)	6
2	Adverse event profiles of solvent-based and nanoparticle albumin-bound paclitaxel formulations using the Food and Drug Administration Adverse Event Reporting System 2019 ·SHILAP Revista de lepidopterología ·(unknown),Kohei Tahara,Shiori Hasegawa,(unknown),Sayaka Sasaoka,Haruna Hatahira,Yumi Motooka,Satoshi Nakao,(unknown),Kouseki Hirade,Tomoaki Yoshimura,Takeshi Kato,Hirofumi Takeuchi,Mitsuhiro Nakamura	8
3	Analysis of fall-related adverse events among older adults using the Japanese Adverse Drug Event Report (JADER) database 2018 ·Journal of Pharmaceutical Health Care and Sciences ·Haruna Hatahira,Shiori Hasegawa,Sayaka Sasaoka,Yamato Kato,Junko Abe,Yumi Motooka,(unknown),(unknown),Satoshi Nakao,(unknown),(unknown),Kouseki Hirade,Takeshi Kato,Mitsuhiro Nakamura	14
4	Analysis of adverse events of renal impairment related to platinum-based compounds using the Japanese Adverse Drug Event Report database 2018 ·SAGE Open Medicine ·(unknown),Yumi Motooka,Sayaka Sasaoka,Haruna Hatahira,Shiori Hasegawa,(unknown),Satoshi Nakao,(unknown),Kouseki Hirade,Takayuki Mōri,Tomoaki Yoshimura,Takeshi Kato,Mitsuhiro Nakamura	11
5	Survey of Description on Package Inserts of OTC Drugs 2018 ·YAKUGAKU ZASSHI ·(unknown),(unknown),Sayaka Sasaoka,Haruna Hatahira,Yumi Motooka,Shiori Hasegawa,(unknown),Satoshi Nakao,(unknown),S. Yokoyama,(unknown),Mitsuhiro Nakamura,Kazuhiro Iguchi	0
6	Contraceptives as possible risk factors for postpartum depression: A retrospective study of the food and drug administration adverse event reporting system, 2004–2015 2018 ·Nursing Open ·(unknown),(unknown),Junko Abe,Toshinobu Matsui,Yamato Kato,Natsumi Ueda,Sayaka Sasaoka,Yumi Motooka,Haruna Hatahira,Shiori Hasegawa,Yasutomi Kinosada,Hideaki Hara,Mitsuhiro Nakamura	14
7	Adverse events of smoking cessation treatments (nicotine replacement therapy and non-nicotine prescription medication) and electronic cigarettes in the Food and Drug Administration Adverse Event Reporting System, 2004−2016 2018 ·SAGE Open Medicine ·Yumi Motooka,Toshinobu Matsui,(unknown),Ryogo Umetsu,(unknown),(unknown),Shiori Hasegawa,Sayaka Sasaoka,Haruna Hatahira,Kazuhiro Iguchi,Mitsuhiro Nakamura	20
8	Thromboembolic adverse event study of combined estrogen-progestin preparations using Japanese Adverse Drug Event Report database 2017 ·PLoS ONE ·Shiori Hasegawa,Toshinobu Matsui,(unknown),Junko Abe,Haruna Hatahira,Yumi Motooka,Sayaka Sasaoka,(unknown),(unknown),Kouseki Hirade,Yukiko Takahashi,Yasutomi Kinosada,Mitsuhiro Nakamura	9
9	Comparison of the adverse event profiles of conventional and liposomal formulations of doxorubicin using the FDA adverse event reporting system 2017 ·PLoS ONE ·(unknown),Kohei Tahara,(unknown),Toshinobu Matsui,Sayaka Sasaoka,Haruna Hatahira,Yumi Motooka,Shiori Hasegawa,(unknown),Junko Abe,Satoshi Nakao,Hirofumi Takeuchi,Mitsuhiro Nakamura	59
10	Drug-induced gingival hyperplasia: a retrospective study using spontaneous reporting system databases 2017 ·Journal of Pharmaceutical Health Care and Sciences ·Haruna Hatahira,Junko Abe,(unknown),Toshinobu Matsui,Sayaka Sasaoka,Yumi Motooka,Shiori Hasegawa,(unknown),(unknown),Tomofumi Ohmori,Yasutomi Kinosada,Mitsuhiro Nakamura	56
11	Analysis of polypharmacy effects in older patients using Japanese Adverse Drug Event Report database 2017 ·PLoS ONE ·Junko Abe,Ryogo Umetsu,Hiroaki Uranishi,(unknown),(unknown),Yamato Kato,Natsumi Ueda,Sayaka Sasaoka,Haruna Hatahira,Yumi Motooka,(unknown),Mitsuhiro Nakamura	29
12	[Body Surface Area Formulas for the Calculation of the Chemotherapy Dosage]. 2017 ·PubMed ·Haruna Hatahira,Kazuhiro Iguchi,Sayaka Sasaoka,Yumi Motooka,Shiori Hasegawa,(unknown),(unknown),Tomofumi Ohmori,(unknown),(unknown),Mitsuhiro Nakamura	2
13	Age-related trends in injection site reaction incidence induced by the tumor necrosis factor-α (TNF-α) inhibitors etanercept and adalimumab: the Food and Drug Administration adverse event reporting system, 2004-2015 2017 ·International Journal of Medical Sciences ·Toshinobu Matsui,Ryogo Umetsu,Yamato Kato,(unknown),Sayaka Sasaoka,Yumi Motooka,Haruna Hatahira,Junko Abe,(unknown),(unknown),Yasutomi Kinosada,Mitsuhiro Nakamura	24
14	Adverse Event Trends Associated with Over-the-counter Combination Cold Remedy: Data Mining of the Japanese Adverse Drug Event Report Database 2017 ·YAKUGAKU ZASSHI ·Sayaka Sasaoka,Haruna Hatahira,Shiori Hasegawa,Yumi Motooka,(unknown),(unknown),Ryogo Umetsu,Satoshi Nakao,(unknown),Natsumi Ueda,Kouseki Hirade,Kazuhiro Iguchi,Mitsuhiro Nakamura	7
15	Evaluation of Drug-Induced Photosensitivity Using the Japanese Adverse Drug Event Report (JADER) Database 2017 ·Biological and Pharmaceutical Bulletin ·Satoshi Nakao,Haruna Hatahira,Sayaka Sasaoka,Shiori Hasegawa,Yumi Motooka,Natsumi Ueda,Junko Abe,(unknown),(unknown),Hiroyuki Kanoh,Mariko Seishima,(unknown),Yasutomi Kinosada,Mitsuhiro Nakamura	29
16	Time-to-Onset Analysis of Drug-Induced Long QT Syndrome Based on a Spontaneous Reporting System for Adverse Drug Events 2016 ·PLoS ONE ·Sayaka Sasaoka,Toshinobu Matsui,(unknown),Junko Abe,Natsumi Ueda,Yumi Motooka,Haruna Hatahira,(unknown),(unknown),Shiori Hasegawa,Yasutomi Kinosada,Mitsuhiro Nakamura	42
17	Analysis of Stevens-Johnson syndrome and toxic epidermal necrolysis using the Japanese Adverse Drug Event Report database 2016 ·Journal of Pharmaceutical Health Care and Sciences ·Junko Abe,Ryogo Umetsu,(unknown),Yamato Kato,Natsumi Ueda,Yôko Nakayama,(unknown),Toshinobu Matsui,Haruna Hatahira,Sayaka Sasaoka,Yumi Motooka,Hideaki Hara,Zenichiro Kato,Yasutomi Kinosada,Naoki Inagaki,Mitsuhiro Nakamura	71
18	Evaluation of the Association of Hand-Foot Syndrome with Anticancer Drugs Using the US Food and Drug Administration Adverse Event Reporting System (FAERS) and Japanese Adverse Drug Event Report (JADER) Databases 2016 ·YAKUGAKU ZASSHI ·Sayaka Sasaoka,Toshinobu Matsui,Junko Abe,Ryogo Umetsu,Yamato Kato,Natsumi Ueda,(unknown),Yumi Motooka,Haruna Hatahira,Yasutomi Kinosada,Mitsuhiro Nakamura	18
19	Evaluation of Hypoglycemia with Oral Hypoglycemic Agents by Using Spontaneous Adverse Event Reports Database 2016 ·Iryo Yakugaku (Japanese Journal of Pharmaceutical Health Care and Sciences) ·Yumi Motooka,Ryogo Umetsu,Junko Abe,Natsumi Ueda,Yamato Kato,(unknown),Toshinobu Matsui,Sayaka Sasaoka,Haruna Hatahira,Yasutomi Kinosada,Mitsuhiro Nakamura	2
20	Risk Analysis of New-onset Impaired Glucose Tolerance with Statins by Using a Spontaneous Reporting Database of Adverse Events 2016 ·Iryo Yakugaku (Japanese Journal of Pharmaceutical Health Care and Sciences) ·Haruna Hatahira,Toshinobu Matsui,Yamato Kato,Natsumi Ueda,Junko Abe,Sayaka Sasaoka,Yumi Motooka,(unknown),Yasutomi Kinosada,(unknown),Mitsuhiro Nakamura	2

About Yumi Motooka

Yumi Motooka is a scholar working on Toxicology, Pharmacology and Geriatrics and Gerontology, having authored 22 papers that have together received 438 indexed citations. Recurring topics across this work include Pharmacovigilance and Adverse Drug Reactions (10 papers), Pharmacy and Medical Practices (8 papers) and Drug-Induced Adverse Reactions (4 papers). The work is most often cited by research in Toxicology (99 citations), Pharmacology (69 citations) and Pharmacy (36 citations). Yumi Motooka has collaborated with scholars based in Japan, United States and Kenya. Frequent co-authors include Mitsuhiro Nakamura, Haruna Hatahira, Sayaka Sasaoka, Junko Abe, Toshinobu Matsui, Yasutomi Kinosada, Shiori Hasegawa, Natsumi Ueda, Yamato Kato and Ryogo Umetsu. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Biological and Pharmaceutical Bulletin.

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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