Kumie Ito

993 citations
16 papers · 758 indexed · h-index 13
Topics
Lipoproteins and Cardiovascular Health (6 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers)Cancer, Lipids, and Metabolism (5 papers)
Partner nations
JapanUnited States

In The Last Decade

Kumie Ito

16 papers receiving 734 citations

Peers

Kumie Ito
Comparison fields: 5 of 99
  • Molecular Biology 272
  • Physiology 190
  • Endocrinology, Diabetes and Metabolism 164
  • Surgery 146
  • Biochemistry 136
Replace Lihua Song with:
Lihua Song China
In-Sook Kwun South Korea
Young‐Sil Lee South Korea
Xiaxia Cai China
Lorenza Guarnieri Italy
Su‐Kyung Shin South Korea
Tunyu Jian China
Emanuela Salviati Italy
E. Wolz United States
Daniela Gabbia Italy
Kumie Ito relative to Lihua Song China Lihua Song's profile →
Citations per field
00.5×1.5×1.9×
Lihua Song · 1×
Citations per year

Countries citing papers authored by Kumie Ito

Since Specialization
Citations

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

Fields of papers citing papers by Kumie Ito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kumie Ito

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

All Works

16 of 16 papers shown
#WorkIndexed citations
1 10
2 152
3 32
4 21
5 16
6 13
7
[Differences in Measured Values among Homogenous Assay Reagents of LDL-C in LP-X Positive Serum Samples].
1
8 23
9 12
10 41
11 38
12
Scintigraphic Findings and Serum Matrix Metalloproteinase 3 and Vascular Endothelial Growth Factor Levels in Patients with PolymyalgiaRheumatica
1
13 203
14 17
15 122
16 56

About Kumie Ito

Kumie Ito is a scholar working on Biochemistry, Endocrinology, Diabetes and Metabolism and Cancer Research, having authored 16 papers that have together received 758 indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (6 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers) and Cancer, Lipids, and Metabolism (5 papers). The work is most often cited by research in Biological Psychiatry (64 citations), Biochemistry (136 citations) and Endocrinology, Diabetes and Metabolism (164 citations). Kumie Ito has collaborated with scholars based in Japan and United States. Frequent co-authors include Hiroshi Yoshida, Hidekatsu Yanai, Yoshiharu Tomono, Norio Tada, Nobuyuki Furutani, Hiroki Tsukahara, Takashi Koikeda, Norio Tada, Noriko Katsumata and Kenji Yoshikawa. Their work appears in journals such as Journal of Agricultural and Food Chemistry, Atherosclerosis and Journal of Alzheimer s Disease.

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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