Tatsuya Kondo

11.6k total citations · 4 hit papers
183 papers, 8.3k citations indexed

About

Tatsuya Kondo is a scholar working on Molecular Biology, Surgery and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Tatsuya Kondo has authored 183 papers receiving a total of 8.3k indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Molecular Biology, 36 papers in Surgery and 36 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Tatsuya Kondo's work include Metabolism, Diabetes, and Cancer (20 papers), Pancreatic function and diabetes (19 papers) and Diabetes Treatment and Management (17 papers). Tatsuya Kondo is often cited by papers focused on Metabolism, Diabetes, and Cancer (20 papers), Pancreatic function and diabetes (19 papers) and Diabetes Treatment and Management (17 papers). Tatsuya Kondo collaborates with scholars based in Japan, United States and South Korea. Tatsuya Kondo's co-authors include C. Ronald Kahn, Kohjiro Ueki, Eiichi Araki, Tsutomu Kurokawa, Ken‐ichi Naruo, Atsushi Goto, Mitsuhiko Noda, Hiroshi Noto, Hideki Origasa and George L. King and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Tatsuya Kondo

175 papers receiving 8.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Suppressor of Cytokine Signaling 1 (SOCS-1) and SOCS-3 Cause Insulin Resistance through Inhibition of Tyrosine Phosphorylation of Insulin Receptor Substrate Proteins by Discrete Mechanisms

2004 531 citations Kohjiro Ueki, Tatsuya Kondo et al. profile →
Role for neuronal insulin resistance in neurodegenerative diseases

2004 517 citations Tatsuya Kondo, C. Ronald Kahn et al. Proceedings of the National Academy of Sciences profile →
Japanese Clinical Practice Guideline for Diabetes 2019

2020 380 citations Eiichi Araki, Atsushi Goto et al. profile →
Japanese Clinical Practice Guideline for Diabetes 2016

2018 268 citations Daisuke Yabe, Atsushi Goto et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tatsuya Kondo Japan	43	3.6k	1.6k	1.6k	1.3k	1.2k	183	8.3k
Frank C. Brosius United States	54	4.1k 1.1×	1.5k 0.9×	1.6k 1.0×	680 0.5×	1.5k 1.2×	146	9.6k
Reiko Inagi Japan	58	2.9k 0.8×	1.2k 0.8×	1.4k 0.9×	1.4k 1.1×	958 0.8×	194	10.1k
Akira Sugawara Japan	56	4.7k 1.3×	1.8k 1.1×	1.2k 0.8×	710 0.6×	1.2k 1.0×	294	10.4k
George F. Schreiner United States	56	4.2k 1.2×	990 0.6×	1.2k 0.8×	975 0.8×	1.2k 1.0×	139	11.3k
Karin Bornfeldt United States	53	5.2k 1.4×	2.2k 1.3×	1.7k 1.1×	1.7k 1.3×	1.8k 1.5×	151	11.1k
Shigehiro Katayama Japan	45	2.7k 0.7×	2.5k 1.6×	1.1k 0.7×	776 0.6×	1.2k 1.0×	224	8.2k
Rosario Scalia United States	52	2.9k 0.8×	914 0.6×	2.9k 1.9×	2.2k 1.7×	1.7k 1.4×	110	10.3k
Arnold W. Strauss United States	58	6.4k 1.8×	946 0.6×	1.6k 1.0×	1.1k 0.9×	1.2k 1.0×	220	10.5k
Winfried Siffert Germany	48	3.7k 1.0×	1.5k 0.9×	1.1k 0.7×	456 0.4×	1.2k 1.0×	262	8.4k
Ulrich Kintscher Germany	48	3.4k 0.9×	2.0k 1.2×	1.8k 1.2×	1.6k 1.3×	1.5k 1.3×	170	9.3k

Countries citing papers authored by Tatsuya Kondo

Since Specialization

Citations

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

Fields of papers citing papers by Tatsuya Kondo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tatsuya Kondo

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

All Works

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20 of 20 papers shown

Matsumura, Takeshi, Takafumi Senokuchi, Hiroyuki Motoshima, et al.. (2025). Hematopoietic dipeptidyl peptidase-4 deficiency promotes M2 macrophage polarization and attenuates atherosclerosis. Biochemical and Biophysical Research Communications. 794. 153037–153037.

Matsumura, Takeshi, Hiroyuki Takahashi, Takahisa Deguchi, et al.. (2025). Fingertip skin autofluorescence as a non‐invasive marker for vascular complications in patients with type 2 diabetes. Journal of Diabetes Investigation. 16(12). 2201–2212.

Sakaguchi, Masaji, Motoyuki Igata, Tatsuya Kondo, et al.. (2024). Hepatic SerpinA1 improves energy and glucose metabolism through regulation of preadipocyte proliferation and UCP1 expression. Nature Communications. 15(1). 9585–9585. 6 indexed citations

Watanabe, Takuro, Taha F. S. Ali, M. Todaka, et al.. (2024). An antifibrotic compound that ameliorates hyperglycaemia and fat accumulation in cell and HFD mouse models. Diabetologia. 67(11). 2568–2584. 2 indexed citations

Bouchi, Ryotaro, Tatsuya Kondo, Yasuharu Ohta, et al.. (2022). A consensus statement from the Japan Diabetes Society: A proposed algorithm for pharmacotherapy in people with type 2 diabetes. Journal of Diabetes Investigation. 14(1). 151–164. 27 indexed citations

Yamashita, Yo‐ichi, Tatsuya Kondo, Hiromitsu Hayashi, et al.. (2020). Clinicopathological features and menin expression of pancreatic neuroendocrine neoplasm associated with multiple endocrine neoplasia type 1. Journal of Hepato-Biliary-Pancreatic Sciences. 27(12). 984–991. 4 indexed citations

Taniguchi, Cullen M., Tatsuya Kondo, Mini P. Sajan, et al.. (2016). Divergent Regulation of Hepatic Glucose and Lipid Metabolism by Phosphoinositide 3-Kinase via Akt and PKCλ/ζ. Cell Metabolism. 23(2). 386–386. 1 indexed citations

Uchimura, Kohei, Teruhiko Mizumoto, Yutaka Kakizoe, et al.. (2014). The serine protease prostasin regulates hepatic insulin sensitivity by modulating TLR4 signalling. Nature Communications. 5(1). 3428–3428. 46 indexed citations

Kondo, Tatsuya, Kazunari Sasaki, Saori Morino‐Koga, et al.. (2012). Hyperthermia With Mild Electrical Stimulation Protects Pancreatic β-Cells From Cell Stresses and Apoptosis. Diabetes. 61(4). 838–847. 37 indexed citations

10.

Taniguchi, Cullen M., Jonathon N. Winnay, Tatsuya Kondo, et al.. (2010). The Phosphoinositide 3-Kinase Regulatory Subunit p85α Can Exert Tumor Suppressor Properties through Negative Regulation of Growth Factor Signaling. Cancer Research. 70(13). 5305–5315. 125 indexed citations

11.

Taniguchi, Cullen M., Jonathon N. Winnay, Tatsuya Kondo, et al.. (2010). The Phosphoinositide 3-Kinase Regulatory Subunit p85 Can Exert Tumor Suppressor Properties through Negative Regulation of Growth Factor Signaling. DSpace@MIT (Massachusetts Institute of Technology). 1 indexed citations

12.

Kondo, Tatsuya, Hiroko Matsuyoshi, Rieko Goto, et al.. (2009). A case of primary thyroid squamous cell cancer: transformation from benign tumour associated with chronic thyroiditis?. BMJ Case Reports. 2009. bcr1020081137–bcr1020081137. 4 indexed citations

13.

Morino, Saori, Tatsuya Kondo, Kazunari Sasaki, et al.. (2008). Mild Electrical Stimulation with Heat Shock Ameliorates Insulin Resistance via Enhanced Insulin Signaling. PLoS ONE. 3(12). e4068–e4068. 60 indexed citations

14.

Toyonaga, Tomomi, Tatsuya Kondo, Kunio Matsumoto, et al.. (2005). Enhanced expression of PDX-1 and Ngn3 by exendin-4 during β cell regeneration in STZ-treated mice. Biochemical and Biophysical Research Communications. 327(4). 1170–1178. 71 indexed citations

15.

Ueki, Kohjiro, Tatsuya Kondo, Yu‐Hua Tseng, & C. Ronald Kahn. (2004). Central role of suppressors of cytokine signaling proteins in hepatic steatosis, insulin resistance, and the metabolic syndrome in the mouse. Proceedings of the National Academy of Sciences. 101(28). 10422–10427. 303 indexed citations

16.

Sekiguchi, Jun‐ichiro, Tomoko Fujino, Minako Araake, et al.. (2004). Detection of the Antiseptic- and Disinfectant-Resistance Genes qacA, qacB, and qacC in Methicillin-Resistant Staphylococcus aureus Isolated in a Tokyo Hospital. Japanese Journal of Infectious Diseases. 57(6). 288–291. 23 indexed citations

17.

Murata, Tomoaki, Yasuhiro Yamashiro, Tatsuya Kondo, Satoshi UNE, & Munekazu NAKAICHI. (2002). Nucleotide Sequence of cDNA Encoding for Canine and Feline Quaking Protein. Journal of the Japan Veterinary Medical Association. 55(8). 505–508. 1 indexed citations

18.

Todo, Tomoki, Tatsuya Kondo, Satoshi Nakamura, et al.. (1998). Neuronal localization of fibroblast growth factor-9 immunoreactivity in human and rat brain. Brain Research. 783(2). 179–187. 39 indexed citations

19.

Naruo, Ken‐ichi, et al.. (1995). Stimulation of Thrombopoiesis in Mice by Fibroblast Growth Factor 9. Growth Factors. 12(3). 179–190. 11 indexed citations

20.

Kondo, Tatsuya, et al.. (1979). Depletion of red cell ATP by incubation with 2-deoxyglucose.. PubMed. 94(4). 617–23. 19 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.

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