Nahoko Kitamura

21 papers receiving 823 citations

Peers

Nahoko Kitamura
Comparison fields: 5 of 83
  • Biological Psychiatry 29
  • Biochemistry 73
  • Nutrition and Dietetics 144
  • Physiology 211
  • Molecular Biology 567
Replace Si‐Bum Park with:
Si‐Bum Park Japan
Su-Hyun Lee South Korea
Paula Aranaz Spain
Toshichika Takita Japan
Junqing Zhang China
Yuncong Xu China
Thanutchaporn Kumrungsee Japan
Qiongfeng Liao China
Hui Song China
Asuka Kamei Japan
Nahoko Kitamura relative to Si‐Bum Park Japan Si‐Bum Park's profile →
Citations per field
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Si‐Bum Park · 1×
Citations per year

Countries citing papers authored by Nahoko Kitamura

Since Specialization
Citations

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

Fields of papers citing papers by Nahoko Kitamura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Nahoko Kitamura, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Nahoko Kitamura Line = papers co-authored together Nahoko Kitamura links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013299
2 201561
3 201560
4 201757
5 201654
6 202053
7 201447
8 201534
9 201732
10 201830
11 201520
12 201320
13 201419
14 201914
15 20159
16 20228
17 20227
18 20167
19 20156
20 20093

About Nahoko Kitamura

Nahoko Kitamura is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Nutrition and Dietetics, Materials Chemistry and Physiology, having authored 23 papers that have together received 841 indexed citations. Recurring topics across this work include Diet, Metabolism, and Disease (6 papers), Gut microbiota and health (5 papers), Enzyme Catalysis and Immobilization (4 papers), Enzyme Structure and Function (4 papers), Peroxisome Proliferator-Activated Receptors (3 papers), Microbial Metabolic Engineering and Bioproduction (3 papers), Fatty Acid Research and Health (2 papers) and Amino Acid Enzymes and Metabolism (2 papers). The work is most often cited by research in Biological Psychiatry (29 citations), Biochemistry (73 citations), Nutrition and Dietetics (144 citations), Physiology (211 citations) and Molecular Biology (567 citations). Nahoko Kitamura has collaborated with scholars based in Japan, South Korea and United States. Frequent co-authors include Shigenobu Kishino, Jun Ogawa, Si‐Bum Park, Michiki Takeuchi, Sakayu Shimizu, Akiko Hirata, Hiroshi Kiyono, Akiko Hirata, Kazumitsu Ueda and Jun Shima. Their work appears in journals such as Bioscience Biotechnology and Biochemistry, Biochemical and Biophysical Research Communications, Applied Microbiology and Biotechnology, Frontiers in Cellular and Infection Microbiology and International Journal of Food Sciences and 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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