Ken Kitajima

6.8k total citations
184 papers, 5.6k citations indexed

About

Ken Kitajima is a scholar working on Molecular Biology, Cell Biology and Organic Chemistry. According to data from OpenAlex, Ken Kitajima has authored 184 papers receiving a total of 5.6k indexed citations (citations by other indexed papers that have themselves been cited), including 155 papers in Molecular Biology, 45 papers in Cell Biology and 44 papers in Organic Chemistry. Recurrent topics in Ken Kitajima's work include Glycosylation and Glycoproteins Research (125 papers), Carbohydrate Chemistry and Synthesis (43 papers) and Proteoglycans and glycosaminoglycans research (28 papers). Ken Kitajima is often cited by papers focused on Glycosylation and Glycoproteins Research (125 papers), Carbohydrate Chemistry and Synthesis (43 papers) and Proteoglycans and glycosaminoglycans research (28 papers). Ken Kitajima collaborates with scholars based in Japan, United States and Taiwan. Ken Kitajima's co-authors include Chihiro Sato, Sadako Inoue, Yasuo Inoue, Tsukasa Matsuda, Shintaro Inoue, Tadashi Suzuki, Yuuki Inoue, Masaya Hane, Frederic A. Troy and Atsuto Seko and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological Chemistry.

In The Last Decade

Ken Kitajima

181 papers receiving 5.5k 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 Kitajima Japan 45 4.3k 1.3k 1.3k 1.2k 482 184 5.6k
Michael Tiemeyer United States 36 4.2k 1.0× 1.1k 0.9× 1.1k 0.9× 1.5k 1.2× 313 0.6× 109 5.7k
Chihiro Sato Japan 37 2.8k 0.7× 661 0.5× 838 0.7× 899 0.7× 379 0.8× 166 4.0k
Robert S. Haltiwanger United States 59 9.1k 2.1× 2.6k 2.0× 1.6k 1.3× 3.0k 2.4× 762 1.6× 158 10.7k
Rita Gerardy‐Schahn Germany 57 6.5k 1.5× 1.3k 1.0× 1.4k 1.2× 1.5k 1.2× 1.1k 2.4× 194 10.0k
Alan M. Tartakoff United States 41 3.9k 0.9× 274 0.2× 1.4k 1.1× 863 0.7× 390 0.8× 113 6.0k
David A. Zacharias United States 25 6.2k 1.4× 304 0.2× 1.6k 1.3× 640 0.5× 657 1.4× 33 8.3k
Tom K. Kerppola United States 44 7.4k 1.7× 322 0.2× 1.2k 0.9× 1.4k 1.1× 950 2.0× 83 9.6k
Martina Mühlenhoff Germany 38 2.7k 0.6× 484 0.4× 650 0.5× 518 0.4× 490 1.0× 75 3.9k
Barry D. Shur United States 45 3.1k 0.7× 369 0.3× 749 0.6× 1.1k 0.9× 1.2k 2.5× 107 6.0k
Paul A. Gleeson Australia 57 5.5k 1.3× 458 0.3× 3.8k 3.0× 2.2k 1.8× 765 1.6× 222 10.7k

Countries citing papers authored by Ken Kitajima

Since Specialization
Citations

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

Fields of papers citing papers by Ken Kitajima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ken Kitajima

This figure shows the co-authorship network connecting the top 25 collaborators of Ken Kitajima. A scholar is included among the top collaborators of Ken Kitajima 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 Kitajima. Ken Kitajima 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.
Roux, Natacha, Shin‐Yi Yu, Saori Miura, et al.. (2025). Anemonefish use sialic acid metabolism as Trojan horse to avoid giant sea anemone stinging. BMC Biology. 23(1). 39–39. 1 indexed citations
2.
Huang, Chengcheng, Junichi Seino, Haruhiko Fujihira, et al.. (2024). Rat hepatocytes secrete free oligosaccharides. Journal of Biological Chemistry. 300(3). 105712–105712. 2 indexed citations
3.
Fukami, Yuki, Hisatoshi Hanamatsu, Jun‐ichi Furukawa, et al.. (2024). Serum glycobiomarkers for chronic inflammatory demyelinating polyneuropathy. European Journal of Neurology. 32(1). e70023–e70023. 1 indexed citations
4.
Hane, Masaya, et al.. (2023). Identification of a buried β-strand as a novel disease-related motif in the human polysialyltransferases. Journal of Biological Chemistry. 300(1). 105564–105564. 2 indexed citations
5.
6.
Yoshimura, Atsushi, Lan‐Yi Chang, Takashi Angata, et al.. (2021). Identification and functional characterization of a Siglec-7 counter-receptor on K562 cells. Journal of Biological Chemistry. 296. 100477–100477. 29 indexed citations
7.
Coady, Alison, Aniruddha Sasmal, Kunio Kawanishi, et al.. (2021). Exploring the Impact of Ketodeoxynonulosonic Acid in Host-Pathogen Interactions Using Uptake and Surface Display by Nontypeable Haemophilus influenzae. mBio. 12(1). 17 indexed citations
8.
Kawanishi, Kunio, Sandra Diaz, Aniruddha Sasmal, et al.. (2020). Evolutionary conservation of human ketodeoxynonulosonic acid production is independent of sialoglycan biosynthesis. Journal of Clinical Investigation. 131(5). 18 indexed citations
9.
Kitajima, Ken. (2019). Structural Diversity and Evolution of Sialic Acids. Trends in Glycoscience and Glycotechnology. 31(181). SJ18–SJ20. 1 indexed citations
10.
Kitajima, Ken. (2019). Structural Diversity and Evolution of Sialic Acids. Trends in Glycoscience and Glycotechnology. 31(181). SE18–SE20. 1 indexed citations
11.
Harada, Yoichiro, Estelle Garénaux, Takehiro Nagatsuka, et al.. (2014). Interaction of 70-kDa heat shock protein with glycosaminoglycans and acidic glycopolymers. Biochemical and Biophysical Research Communications. 453(2). 229–234. 9 indexed citations
12.
Sato, Chihiro & Ken Kitajima. (2011). New Functions of Polysialic Acid and Its Relationship to Schizophrenia. Trends in Glycoscience and Glycotechnology. 23(133). 221–238. 4 indexed citations
13.
Chang, Lan‐Yi, Anne Harduin‐Lepers, Ken Kitajima, et al.. (2008). Developmental regulation of oligosialylation in zebrafish. Glycoconjugate Journal. 26(3). 247–261. 23 indexed citations
14.
Miyata, Shinji, Chihiro Sato, & Ken Kitajima. (2007). Glycobiology of Polysialic Acids on Sea Urchin Gametes. Trends in Glycoscience and Glycotechnology. 19(106). 85–98. 12 indexed citations
15.
Sato, Chihiro, et al.. (2007). Identification of an Inflammation-inducible Serum Protein Recognized by Anti-disialic Acid Antibodies as Carbonic Anhydrase II. The Journal of Biochemistry. 141(3). 429–441. 12 indexed citations
16.
17.
Nishikawa, Toshio, et al.. (2004). α-C-Mannosyltryptophan is not recognized by conventional mannose-binding lectins. Bioorganic & Medicinal Chemistry. 12(9). 2343–2348. 9 indexed citations
18.
Oshima, Kenji, et al.. (1999). Lactation-Dependent Expression of an mRNA Splice Variant with an Exon for a MultiplyO-Glycosylated Domain of Mouse Milk Fat Globule Glycoprotein MFG-E8. Biochemical and Biophysical Research Communications. 254(3). 522–528. 64 indexed citations
19.
Sato, Chihiro & Ken Kitajima. (1999). Glycobiology of Di- and Oligosialyl Glycotopes.. Trends in Glycoscience and Glycotechnology. 11(62). 371–390. 35 indexed citations
20.
Kitajima, Ken, et al.. (1990). Prognostic significance of daily physical activity after first acute myocardial infarction. American Heart Journal. 119(5). 1193–1194. 8 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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