Kumiko Makide

1.6k citations
19 papers · 1.2k indexed · h-index 15
Topics
Sphingolipid Metabolism and Signaling (11 papers)Lipid Membrane Structure and Behavior (6 papers)Phagocytosis and Immune Regulation (5 papers)
Partner nations
JapanIrelandNepal

In The Last Decade

Kumiko Makide

19 papers receiving 1.2k citations

Peers

Kumiko Makide
Comparison fields: 5 of 94
  • Molecular Biology 874
  • Immunology 221
  • Physiology 186
  • Biochemistry 132
  • Cell Biology 131
Replace William C. Comb with:
William C. Comb United States
Tetsuyuki Kobayashi Japan
Muriel Priault France
Péter Csutora United States
Caroline Kumsta United States
Jessica J. Howell United States
Melanie P. Gygi United States
Md Nawajes A. Mandal United States
Nina A. Bonekamp Germany
Xiaojun Xiang China
Kumiko Makide relative to William C. Comb United States William C. Comb's profile →
Citations per field
00.5×1.5×
William C. Comb · 1×
Citations per year

Countries citing papers authored by Kumiko Makide

Since Specialization
Citations

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

Fields of papers citing papers by Kumiko Makide

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kumiko Makide

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

All Works

19 of 19 papers shown
#WorkIndexed citations
1 1
2 17
3 16
4 43
5 39
6 4
7 17
8
Phosphatidylserine-specific phospholipase A1 (PS-PLA1) expression in colorectal cancer correlates with tumor invasion and hematogenous metastasis.
15
9 40
10 34
11 126
12 129
13 278
14 65
15 9
16 7
17 59
18 152
19 128

About Kumiko Makide

Kumiko Makide is a scholar working on Physiology, Immunology and Physiology, having authored 19 papers that have together received 1.2k indexed citations. Recurring topics across this work include Sphingolipid Metabolism and Signaling (11 papers), Lipid Membrane Structure and Behavior (6 papers) and Phagocytosis and Immune Regulation (5 papers). The work is most often cited by research in Biochemistry (132 citations), Physiology (80 citations) and Molecular Biology (874 citations). Kumiko Makide has collaborated with scholars based in Japan, Ireland and Nepal. Frequent co-authors include Junken Aoki, Asuka Inoue, Michiyo Okutani, Hajime Kitamura, Hiroyuki Arai, Tomohiko Ohwada, Akira Shuto, Jun Ishiguro, Yusuke Sato and Naoaki Arima. Their work appears in journals such as Journal of Biological Chemistry, Nature Methods and Biochemical and Biophysical Research Communications.

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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