Ken Takata

769 total citations
34 papers, 563 citations indexed

About

Ken Takata is a scholar working on Immunology, Surgery and Rheumatology. According to data from OpenAlex, Ken Takata has authored 34 papers receiving a total of 563 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Immunology, 7 papers in Surgery and 7 papers in Rheumatology. Recurrent topics in Ken Takata's work include Mast cells and histamine (6 papers), Osteoarthritis Treatment and Mechanisms (5 papers) and Thermal Regulation in Medicine (4 papers). Ken Takata is often cited by papers focused on Mast cells and histamine (6 papers), Osteoarthritis Treatment and Mechanisms (5 papers) and Thermal Regulation in Medicine (4 papers). Ken Takata collaborates with scholars based in Japan, United States and Australia. Ken Takata's co-authors include Kiyoshi Morita, Yoshimasa Takeda, Masataka Yokoyama, Hideki Nakatsuka, Huaxin Sheng, Masashi Takaso, David S. Warner, Frederick W. Lombard, Daniel T. Laskowitz and Cecil O. Borel and has published in prestigious journals such as International Journal of Molecular Sciences, Critical Care Medicine and Experimental Neurology.

In The Last Decade

Ken Takata

33 papers receiving 542 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 Takata Japan 13 105 93 89 82 82 34 563
Tadao Morino Japan 14 48 0.5× 50 0.5× 37 0.4× 39 0.5× 119 1.5× 38 609
Manabu Kakinohana Japan 15 112 1.1× 62 0.7× 31 0.3× 22 0.3× 158 1.9× 78 820
He‐fan He China 15 71 0.7× 159 1.7× 14 0.2× 27 0.3× 57 0.7× 46 692
J Gintautas United States 15 46 0.4× 26 0.3× 51 0.6× 43 0.5× 124 1.5× 92 784
M. Thiel Germany 17 33 0.3× 61 0.7× 26 0.3× 117 1.4× 229 2.8× 43 841
Tomohiro Matsui Japan 13 67 0.6× 132 1.4× 40 0.4× 36 0.4× 257 3.1× 41 669
Robert Zanner Germany 11 31 0.3× 100 1.1× 46 0.5× 16 0.2× 52 0.6× 23 638
Masakazu Kotoda Japan 11 94 0.9× 27 0.3× 15 0.2× 23 0.3× 118 1.4× 33 590
Yoonki Lee South Korea 9 118 1.1× 47 0.5× 13 0.1× 17 0.2× 130 1.6× 24 422
Kazuyuki Miyamoto Japan 15 94 0.9× 35 0.4× 44 0.5× 20 0.2× 96 1.2× 57 613

Countries citing papers authored by Ken Takata

Since Specialization
Citations

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

Fields of papers citing papers by Ken Takata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ken Takata

This figure shows the co-authorship network connecting the top 25 collaborators of Ken Takata. A scholar is included among the top collaborators of Ken Takata 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 Takata. Ken Takata 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
1.
Takata, Ken, Jun Aikawa, Dai Iwase, et al.. (2024). Association between High HbA1c Levels and Mast Cell Phenotype in the Infrapatellar Fat Pad of Patients with Knee Osteoarthritis. International Journal of Molecular Sciences. 25(2). 877–877. 1 indexed citations
2.
Fukushima, Kensuke, Ken Takata, Katsufumi Uchiyama, et al.. (2023). Increase in TPSB2 and TPSD1 Expression in Synovium of Hip Osteoarthritis Patients Who Are Overweight. International Journal of Molecular Sciences. 24(14). 11532–11532. 4 indexed citations
3.
Takata, Ken, Shotaro Takano, Manabu Mukai, et al.. (2022). Increased NMUR1 Expression in Mast Cells in the Synovial Membrane of Obese Osteoarthritis Patients. International Journal of Molecular Sciences. 23(19). 11237–11237. 7 indexed citations
4.
Takata, Ken, Kentaro Uchida, Shotaro Takano, et al.. (2021). Possible Regulation of bFGF Expression by Mast Cells in Osteoarthritis Patients with Obesity: A Cross-Sectional Study. Diabetes Metabolic Syndrome and Obesity. Volume 14. 3291–3297. 4 indexed citations
5.
Takata, Ken, Shotaro Takano, Masayuki Miyagi, et al.. (2021). Elevated macrophage-inducible C-type lectin expression in the synovial tissue of patients with rheumatoid arthritis. Central European Journal of Immunology. 46(4). 470–473. 2 indexed citations
6.
Uchida, Kentaro, Hiroyuki Sekiguchi, Gen Inoue, et al.. (2020). Acceleration of bone union by in situ-formed hydrogel containing bone morphogenetic protein-2 in a mouse refractory fracture model. Journal of Orthopaedic Surgery and Research. 15(1). 426–426. 8 indexed citations
7.
Takata, Ken, Kentaro Uchida, Manabu Mukai, et al.. (2020). <p>Increase in Tryptase and Its Role in the Synovial Membrane of Overweight and Obese Patients with Osteoarthritis of the Knee</p>. Diabetes Metabolic Syndrome and Obesity. Volume 13. 1491–1497. 11 indexed citations
8.
Uchida, Kentaro, Hisako Fujimaki, Masayuki Miyagi, et al.. (2019). Elevated leptin levels induce inflammation through IL-6 in skeletal muscle of aged female rats. BMC Musculoskeletal Disorders. 20(1). 199–199. 30 indexed citations
9.
Numata, Masakatsu, Kentaro Hara, Yukio Maezawa, et al.. (2014). A propensity score-matching analysis comparing the oncological outcomes of laparoscopic and open surgery in patients with Stage I/II colon and upper rectal cancers. Surgery Today. 45(6). 700–707. 6 indexed citations
10.
Rino, Yasushi, Norio Yukawa, Hitoshi Murakami, et al.. (2011). Primary placement technique of jejunostomy using the entristar™ skin-level gastrostomy tube in patients with esophageal cancer. BMC Gastroenterology. 11(1). 8–8. 6 indexed citations
11.
Ogane, Naoki, Masanori Yasuda, Masaki Miyazawa, et al.. (2010). Clinicopathological implications of expressions of hypoxia-related molecules in esophageal superficial squamous cell carcinoma. Annals of Diagnostic Pathology. 14(1). 23–29. 25 indexed citations
12.
Oto, Takahiro, Mikio Okazaki, Ken Takata, et al.. (2010). Calcineurin Inhibitor-Related Cholestasis Complicating Lung Transplantation. The Annals of Thoracic Surgery. 89(5). 1664–1665. 17 indexed citations
13.
Hanazaki, Motohiko, Ken Takata, Keiji Goto, et al.. (2009). Anesthetic management of a patient with Alport-leiomyomatosis syndrome. Journal of Anesthesia. 23(3). 453–455. 4 indexed citations
14.
Takata, Ken, Huaxin Sheng, Cecil O. Borel, et al.. (2009). Simvastatin Treatment Duration and Cognitive Preservation in Experimental Subarachnoid Hemorrhage. Journal of Neurosurgical Anesthesiology. 21(4). 326–333. 23 indexed citations
15.
Takata, Ken, Huaxin Sheng, Cecil O. Borel, et al.. (2008). Long-term cognitive dysfunction following experimental subarachnoid hemorrhage: New perspectives. Experimental Neurology. 213(2). 336–344. 47 indexed citations
16.
17.
Suzuki, Yoshihiro, et al.. (2005). Amelanotic malignant melanoma of the esophagus: report of a patient with recurrence successfully treated with chemoendocrine therapy. International Journal of Clinical Oncology. 10(3). 204–207. 20 indexed citations
18.
Zhang, Shan, Yoshimasa Takeda, Ken Takata, et al.. (2004). Measurement of GABA and glutamate in vivo levels with high sensitivity and frequency. Brain Research Protocols. 14(2). 61–66. 36 indexed citations
19.
20.

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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