Ken Kijima

1.1k total citations · 1 hit paper
15 papers, 772 citations indexed

About

Ken Kijima is a scholar working on Pathology and Forensic Medicine, Surgery and Cellular and Molecular Neuroscience. According to data from OpenAlex, Ken Kijima has authored 15 papers receiving a total of 772 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Pathology and Forensic Medicine, 4 papers in Surgery and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Ken Kijima's work include Spinal Cord Injury Research (9 papers), Nerve injury and regeneration (4 papers) and Heme Oxygenase-1 and Carbon Monoxide (2 papers). Ken Kijima is often cited by papers focused on Spinal Cord Injury Research (9 papers), Nerve injury and regeneration (4 papers) and Heme Oxygenase-1 and Carbon Monoxide (2 papers). Ken Kijima collaborates with scholars based in Japan, India and United States. Ken Kijima's co-authors include Seiji Okada, Masamitsu Hara, Yasuharu Nakashima, Takeyuki Saito, Kazu Kobayakawa, Shingo Yoshizaki, Kazuya Yokota, Yasuyuki Ohkawa, Katsumi Harimaya and Hiromi Kumamaru and has published in prestigious journals such as Nature Medicine, Journal of Bone and Joint Surgery and Scientific Reports.

In The Last Decade

Ken Kijima

15 papers receiving 766 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.

Interaction of reactive astrocytes with type I collagen induces astrocytic scar formation through the integrin–N-cadherin pathway after spinal cord injury

2017 387 citations Masamitsu Hara, Kazu Kobayakawa et al. Nature Medicine profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ken Kijima Japan	10	355	303	195	192	165	15	772
Takeyuki Saito Japan	11	373 1.1×	282 0.9×	182 0.9×	169 0.9×	145 0.9×	18	755
Shingo Yoshizaki Japan	9	299 0.8×	252 0.8×	170 0.9×	173 0.9×	142 0.9×	13	655
Jacob Kjell Sweden	10	289 0.8×	213 0.7×	220 1.1×	148 0.8×	114 0.7×	16	706
Christos Profyris Australia	8	280 0.8×	247 0.8×	205 1.1×	77 0.4×	139 0.8×	22	910
Dearbhaile Dooley Ireland	16	280 0.8×	273 0.9×	163 0.8×	168 0.9×	117 0.7×	29	717
Zhongju Shi China	15	450 1.3×	199 0.7×	411 2.1×	151 0.8×	143 0.9×	25	1.0k
Yana Mukhamedshina Russia	17	314 0.9×	316 1.0×	282 1.4×	175 0.9×	116 0.7×	66	883
Lingxiao Deng United States	19	325 0.9×	357 1.2×	312 1.6×	90 0.5×	148 0.9×	42	939
T. Bucky Jones United States	10	592 1.7×	375 1.2×	164 0.8×	322 1.7×	183 1.1×	16	987
Masamitsu Hara Japan	15	496 1.4×	408 1.3×	320 1.6×	255 1.3×	207 1.3×	33	1.2k

Countries citing papers authored by Ken Kijima

Since Specialization

Citations

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

Fields of papers citing papers by Ken Kijima

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ken Kijima

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

All Works

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15 of 15 papers shown

Kobayakawa, Kazu, Hirokazu Saiwai, Yoshihiro Matsumoto, et al.. (2023). Reduced Neuroinflammation Via Astrocytes and Neutrophils Promotes Regeneration After Spinal Cord Injury in Neonatal Mice. Journal of Neurotrauma. 40(23-24). 2566–2579. 6 indexed citations

Kobayakawa, Kazu, Hirokazu Saiwai, Daijiro Konno, et al.. (2022). Glial scar survives until the chronic phase by recruiting scar-forming astrocytes after spinal cord injury. Experimental Neurology. 359. 114264–114264. 22 indexed citations

Kobayakawa, Kazu, Hirokazu Saiwai, Ken Kijima, et al.. (2022). Zinc chelator treatment in crush syndrome model mice attenuates ischemia–reperfusion-induced muscle injury due to suppressing of neutrophil infiltration. Scientific Reports. 12(1). 15580–15580. 9 indexed citations

Yoshizaki, Shingo, Masamitsu Hara, Ken Kijima, et al.. (2021). Microglial inflammation after chronic spinal cord injury is enhanced by reactive astrocytes via the fibronectin/β1 integrin pathway. Journal of Neuroinflammation. 18(1). 12–12. 49 indexed citations

Yoshizaki, Shingo, Ken Kijima, Masamitsu Hara, et al.. (2019). Tranexamic acid reduces heme cytotoxicity via the TLR4/TNF axis and ameliorates functional recovery after spinal cord injury. Journal of Neuroinflammation. 16(1). 160–160. 37 indexed citations

Yokota, Kazuya, Kensuke Kubota, Kazu Kobayakawa, et al.. (2019). Pathological changes of distal motor neurons after complete spinal cord injury. Molecular Brain. 12(1). 4–4. 43 indexed citations

Kijima, Ken, Kensuke Kubota, Masamitsu Hara, et al.. (2019). The acute phase serum zinc concentration is a reliable biomarker for predicting the functional outcome after spinal cord injury. EBioMedicine. 41. 659–669. 30 indexed citations

Kobayakawa, Kazu, Yasuyuki Ohkawa, Shingo Yoshizaki, et al.. (2019). Macrophage centripetal migration drives spontaneous healing process after spinal cord injury. Science Advances. 5(5). eaav5086–eaav5086. 70 indexed citations

Hara, Masamitsu, Kazuya Yokota, Takeyuki Saito, et al.. (2018). Periostin Promotes Fibroblast Migration and Inhibits Muscle Repair After Skeletal Muscle Injury. Journal of Bone and Joint Surgery. 100(16). e108–e108. 20 indexed citations

10.

Kijima, Ken, Shingo Yoshizaki, Masamitsu Hara, et al.. (2018). The Acute Phase Serum Zinc Concentration Is a Reliable Biomarker for Predicting the Functional Outcome After Spinal Cord Injury. SSRN Electronic Journal. 1 indexed citations

11.

Yokota, Kazuya, Kazu Kobayakawa, Takeyuki Saito, et al.. (2017). Periostin Promotes Scar Formation through the Interaction between Pericytes and Infiltrating Monocytes/Macrophages after Spinal Cord Injury. American Journal Of Pathology. 187(3). 639–653. 67 indexed citations

12.

Saito, Takeyuki, Masamitsu Hara, Hiromi Kumamaru, et al.. (2017). Macrophage Infiltration Is a Causative Factor for Ligamentum Flavum Hypertrophy through the Activation of Collagen Production in Fibroblasts. American Journal Of Pathology. 187(12). 2831–2840. 24 indexed citations

13.

Hara, Masamitsu, Kazu Kobayakawa, Yasuyuki Ohkawa, et al.. (2017). Interaction of reactive astrocytes with type I collagen induces astrocytic scar formation through the integrin–N-cadherin pathway after spinal cord injury. Nature Medicine. 23(7). 818–828. 387 indexed citations breakdown →

14.

Kijima, Ken, et al.. (2004). Integrated Internal EGR and Compression Braking System for Hino's E13C Engine. SAE technical papers on CD-ROM/SAE technical paper series. 1. 5 indexed citations

15.

Kijima, Ken, et al.. (1991). Assessment of Periodontal Disease Screening Using CPITN.. Nihon Shishubyo Gakkai Kaishi (Journal of the Japanese Society of Periodontology). 33(4). 943–949. 2 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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