Kosuke Robert Shima

21 papers receiving 429 citations

Peers

Kosuke Robert Shima
Comparison fields: 5 of 60
  • Endocrine and Autonomic Systems 109
  • Aging 20
  • Endocrinology, Diabetes and Metabolism 123
  • Physiology 114
  • Cell Biology 44
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Citations per year

Countries citing papers authored by Kosuke Robert Shima

Since Specialization
Citations

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

Fields of papers citing papers by Kosuke Robert Shima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kosuke Robert Shima. 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 Kosuke Robert Shima. The network helps show where Kosuke Robert Shima may publish in the future.

Co-authors

The 25 scholars most cited alongside Kosuke Robert Shima, 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 Kosuke Robert Shima Line = papers co-authored together Kosuke Robert Shima links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008113
2 2012108
3 201951
4 201838
5 201728
6 200922
7 202019
8 201812
9 20197
10 20187
11 20246
12
[A case of cutaneous and brain metastasis of gastric carcinoma, treated effectively by chemotherapy with CDDP, MMC, etoposide and 5'-DFUR].
19946
13
Report of the committee of Japan Diabetes Society on the classification and diagnostic criteria of diabetes mellitus particularly higher risk to develop diabetes Diabetes-specific microvascular complications are rare but arteriosclerotic complications are fairly frequent in this category Gestational diabetes mellitus The current definition of GDM is any glucose intolerance developed or detected during pregnancy We adopt the proposal of the Japan Society of Gynecology and Obste
19995
14 20224
15 19813
16 19943
17 20142
18 20122
19 20132
20
[Diabetogenes; which cause type II diabetes mellitus].
19952

About Kosuke Robert Shima

Kosuke Robert Shima is a scholar working on Endocrinology, Diabetes and Metabolism, Endocrine and Autonomic Systems, Nephrology, Epidemiology and Oncology, having authored 21 papers that have together received 441 indexed citations. Recurring topics across this work include Diabetes Treatment and Management (6 papers), Metabolism, Diabetes, and Cancer (3 papers), Neuroendocrine Tumor Research Advances (3 papers), Pituitary Gland Disorders and Treatments (3 papers), Thyroid and Parathyroid Surgery (2 papers), Lung Cancer Research Studies (2 papers), Circadian rhythm and melatonin (2 papers) and Pancreatic function and diabetes (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (109 citations), Aging (20 citations), Endocrinology, Diabetes and Metabolism (123 citations), Physiology (114 citations) and Cell Biology (44 citations). Kosuke Robert Shima has collaborated with scholars based in Japan. Frequent co-authors include Toshinari Takamura, Shuichi Kaneko, Hirofumi Misu, Akio Fujimura, Hitoshi Ando, Naoto Nagata, Masanari Shiramoto, Takashi Eto, S. Irie and Yumie Takeshita. Their work appears in journals such as Diabetologia, Cardiovascular Diabetology, Journal of Diabetes Investigation, Lung Cancer and Hypertension 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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