Hitomi Kawamura

781 citations
30 papers · 607 indexed · h-index 13
Topics
Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers)Diabetes Treatment and Management (3 papers)Surfactants and Colloidal Systems (2 papers)
Journals
CellSHILAP Revista de lepidopterologíaAmerican Journal of Clinical Nutrition
Partner nations
JapanGermany

In The Last Decade

Hitomi Kawamura

27 papers receiving 580 citations

Peers

Hitomi Kawamura
Comparison fields: 5 of 108
  • Molecular Biology 242
  • Endocrinology, Diabetes and Metabolism 170
  • Physiology 126
  • Epidemiology 107
  • Cell Biology 96
Replace John C. Dowdy with:
John C. Dowdy United States
Mitsuhiro Watanabe Japan
James Tse United States
Jason J. Rose United States
Mari Hashimoto Japan
Hikari Suzuki Japan
Xiaomei Xie China
Pia Jeggle United Kingdom
Sreenivas Devidas United States
Hitomi Kawamura relative to John C. Dowdy United States John C. Dowdy's profile →
Citations per field
00.5×3.8×
John C. Dowdy · 1×
Citations per year

Countries citing papers authored by Hitomi Kawamura

Since Specialization
Citations

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

Fields of papers citing papers by Hitomi Kawamura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hitomi Kawamura

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 1
4
[The Current State of Inappropriate Drug Use among Elderly Assisted-Living Residents].
0
5 142
6 6
7 19
8 14
9 14
10 46
11 5
12 9
13 26
14 29
15 34
16 13
17 6
18 7
19 43
20 102

About Hitomi Kawamura

Hitomi Kawamura is a scholar working on Applied Microbiology and Biotechnology, Filtration and Separation and Endocrinology, Diabetes and Metabolism, having authored 30 papers that have together received 607 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), Diabetes Treatment and Management (3 papers) and Surfactants and Colloidal Systems (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (170 citations), Endocrine and Autonomic Systems (40 citations) and Cell Biology (96 citations). Hitomi Kawamura has collaborated with scholars based in Japan and Germany. Frequent co-authors include Mitsuo Fukushima, Tai Kudo, Akio Toh‐e, Keiji Tanaka, Yasushi Saeki, Ataru Taniguchi, Itaru Nagata, Kumpei Tokuyama, Hiroo Imura and Yoshikatsu Nakai. Their work appears in journals such as Cell, SHILAP Revista de lepidopterología and American Journal of Clinical Nutrition.

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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