Shoichiro Sumi

1.8k citations
101 papers · 1.4k indexed · h-index 22

Shoichiro Sumi

94 papers receiving 1.4k citations

Peers

Shoichiro Sumi
Comparison fields: 5 of 107
  • Surgery 819
  • Endocrinology, Diabetes and Metabolism 296
  • Developmental Neuroscience 40
  • Cancer Research 132
  • Genetics 237
Replace Kazutomo Inoue with:
Kazutomo Inoue Japan
Omaima M. Sabek United States
Emmanuel S. Tzanakakis United States
Shi Yu Yang United Kingdom
Chunhua Jiao United States
Jianping Zhang China
Rennian Wang Canada
John Gaffney United Kingdom
Zhikun Guo China
Bojana Simović Marković Serbia
Shoichiro Sumi relative to Kazutomo Inoue Japan Kazutomo Inoue's profile →
Citations per field
00.5×1.5×1.8×
Kazutomo Inoue · 1×
Citations per year

Countries citing papers authored by Shoichiro Sumi

Since Specialization
Citations

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

Fields of papers citing papers by Shoichiro Sumi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Shoichiro Sumi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Shoichiro Sumi Line = papers co-authored together Shoichiro Sumi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20193
2 20177
3 20163
4 20164
5
Enhanced mathematical model of postprandial glycemic excursion in diabetics using rapid-acting insulin
20122
6
Mathematical model of postprandial glucose-insulin metabolism in insulin dependent diabetics with subcutaneous and intravenous insulin administration routes
20112
7 20102
8 20080
9 20071
10 200617
11 200435
12 200415
13 200350
14 20031
15 20022
16 19950
17 199448
18 19923
19 19881
20 198830

About Shoichiro Sumi

Shoichiro Sumi is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Transplantation, having authored 101 papers that have together received 1.4k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (45 papers), Diabetes Management and Research (22 papers), Diabetes and associated disorders (21 papers), Neuropeptides and Animal Physiology (11 papers), Pluripotent Stem Cells Research (10 papers), Cannabis and Cannabinoid Research (7 papers), Pancreatic and Hepatic Oncology Research (6 papers) and Cholangiocarcinoma and Gallbladder Cancer Studies (6 papers). The work is most often cited by research in Surgery (819 citations), Endocrinology, Diabetes and Metabolism (296 citations) and Developmental Neuroscience (40 citations). Shoichiro Sumi has collaborated with scholars based in Japan, Taiwan and China. Frequent co-authors include Kazutomo Inoue, Akihito Hiura, Kai‐Chiang Yang, Yuanjun Gu, Masafumi Kogire, Takayoshi Tobe, Meirigeng Qi, Yasumasa Shirouzu, Naoaki Sakata and Jin Ishizuka. Their work appears in journals such as Gastroenterology, PLoS ONE and Biomaterials.

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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