Makoto Koide

886 citations
33 papers · 736 indexed · h-index 13
Topics
Neuropeptides and Animal Physiology (13 papers)Neuroendocrine Tumor Research Advances (10 papers)Pancreatitis Pathology and Treatment (8 papers)
Partner nations
JapanIndiaUnited States

In The Last Decade

Makoto Koide

33 papers receiving 709 citations

Peers

Makoto Koide
Comparison fields: 5 of 82
  • Surgery 263
  • Physiology 226
  • Molecular Biology 215
  • Endocrinology, Diabetes and Metabolism 130
  • Cellular and Molecular Neuroscience 125
Replace Ki-Up Lee with:
Ki-Up Lee South Korea
William Lagakos United States
Juan Jiménez Spain
Shoji Kuroda Japan
P. V. Halushka United States
Yuta Kobayashi Japan
Kihwa Kang United States
Patrick J. Flannery United States
Jacques Randon France
Junichi Takezawa Japan
Makoto Koide relative to Ki-Up Lee South Korea Ki-Up Lee's profile →
Citations per field
00.5×3.3×
Ki-Up Lee · 1×
Citations per year

Countries citing papers authored by Makoto Koide

Since Specialization
Citations

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

Fields of papers citing papers by Makoto Koide

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Makoto Koide

This figure shows the co-authorship network connecting the top 25 collaborators of Makoto Koide. A scholar is included among the top collaborators of Makoto Koide 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 Makoto Koide. Makoto Koide 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
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2
[A case of advanced gastric cancer with disseminated carcinomatosis of bone marrow treated by S-1 and CDDP].
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3 2
4 23
5 6
6 14
7 16
8 24
9 13
10 24
11 24
12 115
13 31
14 6
15 10
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17 119
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19 1
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About Makoto Koide

Makoto Koide is a scholar working on Equine, Cellular and Molecular Neuroscience and Endocrinology, Diabetes and Metabolism, having authored 33 papers that have together received 736 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (13 papers), Neuroendocrine Tumor Research Advances (10 papers) and Pancreatitis Pathology and Treatment (8 papers). The work is most often cited by research in Biochemistry (68 citations), Physiology (226 citations) and Endocrinology, Diabetes and Metabolism (130 citations). Makoto Koide has collaborated with scholars based in Japan, India and United States. Frequent co-authors include Terutaka Tsuda, Yoshihiro Kawahara, M Yokoyama, Yoshinori Okabayashi, Ichiro Nakayama, Makoto Otsuki, Satoshi Tani, Masatoshi Fujii, Takahiko Nakamura and Hiroshi Itoh. Their work appears in journals such as Journal of Biological Chemistry, Gastroenterology and Circulation Research.

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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