Noriyuki Iwamoto

2.6k citations
64 papers · 1.9k indexed · h-index 29
Topics
Cholesterol and Lipid Metabolism (17 papers)Drug Transport and Resistance Mechanisms (13 papers)Peroxisome Proliferator-Activated Receptors (12 papers)
Partner nations
JapanUnited StatesChina

In The Last Decade

Noriyuki Iwamoto

63 papers receiving 1.8k citations

Peers

Noriyuki Iwamoto
Comparison fields: 5 of 95
  • Surgery 782
  • Molecular Biology 680
  • Endocrinology, Diabetes and Metabolism 396
  • Oncology 351
  • Nephrology 223
Replace Jee‐Young Han with:
Jee‐Young Han South Korea
Silvia Pinach Italy
Sayuko Kobes United States
Frank Pistrosch Germany
Chiaki Shigemasa Japan
Hisashi Makino Japan
Sachiko Hattori Japan
Pamela W. Anderson United States
Yu Z. Bagger Denmark
Kun‐san Xiang China
Noriyuki Iwamoto relative to Jee‐Young Han South Korea Jee‐Young Han's profile →
Citations per field
00.5×1.5×2.3×
Jee‐Young Han · 1×
Citations per year

Countries citing papers authored by Noriyuki Iwamoto

Since Specialization
Citations

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

Fields of papers citing papers by Noriyuki Iwamoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Noriyuki Iwamoto

This figure shows the co-authorship network connecting the top 25 collaborators of Noriyuki Iwamoto. A scholar is included among the top collaborators of Noriyuki Iwamoto 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 Noriyuki Iwamoto. Noriyuki Iwamoto 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 3
2 48
3 5
4 21
5 40
6 45
7 42
8 4
9 14
10 13
11 24
12 53
13 15
14 42
15 114
16 39
17 38
18 17
19 3
20 5

About Noriyuki Iwamoto

Noriyuki Iwamoto is a scholar working on Endocrinology, Diabetes and Metabolism, Nephrology and Surgery, having authored 64 papers that have together received 1.9k indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (17 papers), Drug Transport and Resistance Mechanisms (13 papers) and Peroxisome Proliferator-Activated Receptors (12 papers). The work is most often cited by research in Nephrology (223 citations), Endocrinology, Diabetes and Metabolism (396 citations) and Surgery (782 citations). Noriyuki Iwamoto has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Shinji Yokoyama, Sumiko Abe-Dohmae, Nobukiyo Tanaka, Rui Lu, Fumitaka Ohsuzu, Toshihiko Ono, Makoto Ayaori, Masatoshi Kusuhara, Reijiro Arakawa and Ryuichiro Sato. Their work appears in journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Journal of the American College of Cardiology.

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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