Ken Yajima

450 total citations
11 papers, 142 citations indexed

About

Ken Yajima is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Pharmacology. According to data from OpenAlex, Ken Yajima has authored 11 papers receiving a total of 142 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Endocrinology, Diabetes and Metabolism, 3 papers in Molecular Biology and 3 papers in Pharmacology. Recurrent topics in Ken Yajima's work include Diabetes Treatment and Management (4 papers), Diabetes and associated disorders (3 papers) and T-cell and B-cell Immunology (3 papers). Ken Yajima is often cited by papers focused on Diabetes Treatment and Management (4 papers), Diabetes and associated disorders (3 papers) and T-cell and B-cell Immunology (3 papers). Ken Yajima collaborates with scholars based in Japan and United States. Ken Yajima's co-authors include Toshihide Kawai, Takao Saruta, Taketo Yamada, Haruhisa Fujita, Kiichi Miyashita, Yoshiko Seto, Hiroshi Fujita, Hiroshi Hirose, Y. Yamamoto and Akira Shimada and has published in prestigious journals such as American Journal of Physiology-Endocrinology and Metabolism, BMC Infectious Diseases and The Journal of Dermatology.

In The Last Decade

Ken Yajima

8 papers receiving 135 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ken Yajima Japan 7 70 65 40 29 19 11 142
Elio Ippolito Italy 3 100 1.4× 42 0.6× 39 1.0× 32 1.1× 31 1.6× 3 169
Alison Heggie United Kingdom 4 39 0.6× 56 0.9× 40 1.0× 25 0.9× 6 0.3× 5 106
Katharina Schütt Germany 8 62 0.9× 192 3.0× 39 1.0× 24 0.8× 8 0.4× 44 293
Dan Mellström Sweden 5 68 1.0× 40 0.6× 28 0.7× 10 0.3× 18 0.9× 5 155
J Skrha Czechia 5 67 1.0× 27 0.4× 16 0.4× 13 0.4× 7 0.4× 8 155
Huibiao Quan China 7 58 0.8× 39 0.6× 30 0.8× 18 0.6× 19 1.0× 18 138
Edmund Chan Singapore 8 115 1.6× 56 0.9× 75 1.9× 36 1.2× 3 0.2× 13 232
Thomas Segiet Germany 3 86 1.2× 35 0.5× 26 0.7× 19 0.7× 14 0.7× 3 103
Mathilde Svendstrup Denmark 9 71 1.0× 61 0.9× 50 1.3× 58 2.0× 10 0.5× 16 202
Olga González Albarrán Spain 7 54 0.8× 24 0.4× 44 1.1× 14 0.5× 7 0.4× 25 130

Countries citing papers authored by Ken Yajima

Since Specialization
Citations

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

Fields of papers citing papers by Ken Yajima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ken Yajima

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

All Works

11 of 11 papers shown
1.
2.
Oikawa, Yoichi, et al.. (2021). Dupilumab-related type 1 diabetes in a patient with atopic dermatitis: a case report. Diabetology International. 13(1). 300–303. 6 indexed citations
3.
Tani, Tetsuo, et al.. (2019). First case report of thyroid abscess caused by Helicobacter cinaedi presenting with thyroid storm. BMC Infectious Diseases. 19(1). 166–166. 11 indexed citations
4.
5.
Yajima, Ken, Yoichi Oikawa, Kentaro Ogata, Akinori Hashiguchi, & Akira Shimada. (2016). CD4<sup>+</sup> T cell-dominant insulitis in acute-onset Type 1 diabetes mellitus associated with intraductal papillary mucinous adenoma. Endocrine Journal. 63(9). 841–847.
6.
Tanaka‐Ishii, Kumiko, Yoshifumi Saisho, Toshihide Kawai, et al.. (2015). Efficacy and safety of liraglutide monotherapy compared with metformin in Japanese overweight/obese patients with type 2 diabetes. Endocrine Journal. 62(5). 399–409. 20 indexed citations
7.
Yajima, Ken, Hirofumi Sakurai, Takashi Katayama, et al.. (2013). One‐minute mental status examination for category fluency is more useful than mini‐mental state examination to evaluate the reliability of insulin self‐injection in elderly diabetic patients. Journal of Diabetes Investigation. 5(3). 340–344. 4 indexed citations
9.
Yamada, Satoru, Mari Watanabe, Osamu Funae, et al.. (2007). Effect of Combination Therapy of a Rapid-Acting Insulin Secretagogue (Glinide) with Premixed Insulin in Type 2 Diabetes Mellitus. Internal Medicine. 46(23). 1893–1897. 13 indexed citations
10.
Yajima, Ken, Akira Shimada, Hiroshi Hirose, Akira Kasuga, & Takao Saruta. (2004). "Low Dose" Metformin Improves Hyperglycemia Better Than Acarbose in Type 2 Diabetics. The Review of Diabetic Studies. 1(2). 89–89. 12 indexed citations
11.
Yajima, Ken, Hiroshi Hirose, Haruhisa Fujita, et al.. (2003). Combination therapy with PPARγ and PPARα agonists increases glucose-stimulated insulin secretion in db/dbmice. American Journal of Physiology-Endocrinology and Metabolism. 284(5). E966–E971. 64 indexed citations

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026