Mayumi Ishikawa

1.6k citations
36 papers · 880 indexed · h-index 15
Topics
Growth Hormone and Insulin-like Growth Factors (9 papers)Pancreatic function and diabetes (5 papers)Lipid metabolism and disorders (3 papers)
Partner nations
JapanAustraliaIndia

In The Last Decade

Mayumi Ishikawa

36 papers receiving 854 citations

Peers

Mayumi Ishikawa
Comparison fields: 5 of 78
  • Endocrinology, Diabetes and Metabolism 403
  • Molecular Biology 309
  • Surgery 298
  • Epidemiology 168
  • Physiology 150
Replace Yukihiro Nagai with:
Yukihiro Nagai Japan
R A Hegele Canada
Tomomi Toyonaga Japan
Karen O. Badellino United States
Danielle Duffy United States
Dong‐Feng Wu China
Jing Ke China
Jheem D. Medh United States
W. Alexander Mann Germany
Blake J. Cochran Australia
Mayumi Ishikawa relative to Yukihiro Nagai Japan Yukihiro Nagai's profile →
Citations per field
00.5×6.1×
Yukihiro Nagai · 1×
Citations per year

Countries citing papers authored by Mayumi Ishikawa

Since Specialization
Citations

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

Fields of papers citing papers by Mayumi Ishikawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mayumi Ishikawa

This figure shows the co-authorship network connecting the top 25 collaborators of Mayumi Ishikawa. A scholar is included among the top collaborators of Mayumi Ishikawa 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 Mayumi Ishikawa. Mayumi Ishikawa 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 1
2 2
3 2
4 10
5 23
6 1
7 1
8 93
9 17
10 7
11 73
12 9
13 26
14 53
15 2
16 9
17 23
18 46
19 10
20
THE PROLIFERATION KINETICS OF RAT KUPFFER CELLS AFTER PARTIAL-HEPATECTOMY
8

About Mayumi Ishikawa

Mayumi Ishikawa is a scholar working on Endocrinology, Diabetes and Metabolism, Urology and Clinical Biochemistry, having authored 36 papers that have together received 880 indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (9 papers), Pancreatic function and diabetes (5 papers) and Lipid metabolism and disorders (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (403 citations), Surgery (298 citations) and Biochemistry (46 citations). Mayumi Ishikawa has collaborated with scholars based in Japan, Australia and India. Frequent co-authors include Hitoshi Shimano, Nobuhiro Yamada, Akimitsu Takahashi, Michael J. Waters, Linda M. Kerr, Johanna L. Barclay, Toyonori Kato, Noriyuki Inoue, Takashi Matsuzaka and Yoshimi Nakagawa. Their work appears in journals such as Journal of Biological Chemistry, Hepatology and The Journal of Clinical Endocrinology & Metabolism.

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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