Keiichi Uemura

2.5k total citations
82 papers, 1.8k citations indexed

About

Keiichi Uemura is a scholar working on Molecular Biology, Physiology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Keiichi Uemura has authored 82 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Molecular Biology, 15 papers in Physiology and 12 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Keiichi Uemura's work include Glycosylation and Glycoproteins Research (27 papers), Lipid Membrane Structure and Behavior (13 papers) and Monoclonal and Polyclonal Antibodies Research (12 papers). Keiichi Uemura is often cited by papers focused on Glycosylation and Glycoproteins Research (27 papers), Lipid Membrane Structure and Behavior (13 papers) and Monoclonal and Polyclonal Antibodies Research (12 papers). Keiichi Uemura collaborates with scholars based in Japan, United States and United Kingdom. Keiichi Uemura's co-authors include Tamotsu Taketomi, Ten Feizi, Stephen C. Kinsky, Eiko Sugiyama, P Scudder, Howard R. Six, Atsushi Hara, L.M. Loomes, Robert A. Childs and Peter Hanfland and has published in prestigious journals such as Nature, Journal of Biological Chemistry and The Journal of Immunology.

In The Last Decade

Keiichi Uemura

81 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Keiichi Uemura Japan 23 1.1k 310 292 265 234 82 1.8k
K S Prickett United States 24 1.6k 1.4× 900 2.9× 412 1.4× 102 0.4× 190 0.8× 29 3.0k
Belur N. Manjula United States 29 1.2k 1.1× 240 0.8× 237 0.8× 101 0.4× 399 1.7× 98 2.6k
Andrew J. S. Jones United States 26 1.7k 1.5× 311 1.0× 559 1.9× 184 0.7× 128 0.5× 67 2.8k
Neil Jentoft United States 23 1.8k 1.6× 311 1.0× 223 0.8× 534 2.0× 152 0.6× 29 2.7k
David Rodríguez Spain 23 1.5k 1.3× 435 1.4× 121 0.4× 121 0.5× 149 0.6× 42 2.8k
John J. Lucas United States 24 814 0.7× 276 0.9× 54 0.2× 235 0.9× 100 0.4× 47 1.5k
Jean‐Claude Mani France 27 1.1k 1.0× 299 1.0× 376 1.3× 87 0.3× 146 0.6× 89 2.0k
Steven Birken United States 38 1.8k 1.7× 723 2.3× 419 1.4× 152 0.6× 275 1.2× 100 4.3k
James Blake United States 27 1.1k 1.0× 419 1.4× 202 0.7× 365 1.4× 43 0.2× 79 1.9k
Louis N. Gastinel France 20 1.6k 1.4× 847 2.7× 542 1.9× 270 1.0× 108 0.5× 38 2.6k

Countries citing papers authored by Keiichi Uemura

Since Specialization
Citations

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

Fields of papers citing papers by Keiichi Uemura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keiichi Uemura

This figure shows the co-authorship network connecting the top 25 collaborators of Keiichi Uemura. A scholar is included among the top collaborators of Keiichi Uemura 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 Keiichi Uemura. Keiichi Uemura 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.
Otsuka, Tomoyuki, et al.. (2025). Interstitial pneumonia caused by Photoimmunotherapy with cetuximab-IR700 conjugate. Auris Nasus Larynx. 52(4). 394–397.
2.
Funayama, Michitaka, et al.. (2024). Boosting integration of physical and mental health: The impact of increasing psychiatrists in general hospitals without psychiatric Ward. Journal of Psychosomatic Research. 189. 112024–112024. 1 indexed citations
3.
Ito, Yutaka, et al.. (2018). Rapid Detection of the Macrolide Sensitivity of Pneumonia-Causing Mycoplasma pneumoniae Using Quenching Probe Polymerase Chain Reaction (GENECUBE®). Molecular Diagnosis & Therapy. 22(6). 737–747. 10 indexed citations
4.
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Ibi, Takayuki, Naohiko Kobayashi, Tamako Matsuhashi, et al.. (2015). Allelic frequencies and association with carcass traits of six genes in local subpopulations of Japanese Black cattle. Animal Science Journal. 87(4). 469–476. 9 indexed citations
6.
Sugiyama, Eiko, Atsushi Hara, & Keiichi Uemura. (1999). A Quantitative Analysis of Serum Sulfatide by Matrix-Assisted Laser Desorption Ionization Time-of-Flight Mass Spectrometry with Delayed Ion Extraction. Analytical Biochemistry. 274(1). 90–97. 33 indexed citations
7.
Makino, Sou‐ichi, Shuichi Murakami, Toshikazu Shirahata, et al.. (1998). Properties of repeat domain found in a novel protective antigen, SpaA, ofErysipelothrix rhusiopathiae. Microbial Pathogenesis. 25(2). 101–109. 50 indexed citations
8.
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10.
Uemura, Keiichi, et al.. (1996). Sulfatide prolongs blood-coagulation time and bleeding time by forming a complex with fibrinogen. Glycoconjugate Journal. 13(2). 187–194. 26 indexed citations
11.
Uemura, Keiichi, et al.. (1995). Evidence for Indirect Utilization of Glycine for Production of N-Bases of Glycerophospholipids and Sphingolipids in Mouse Neuroblastoma Cells by Using 15N-Labeled Glycine. Biochemical and Biophysical Research Communications. 210(1). 44–50. 1 indexed citations
12.
Sugiyama, Eiko, Keiichi Uemura, Atsushi Hara, & Tamotsu Taketomi. (1993). Metabolism and Neurite Promoting Effect of Exogenous Sphingosylphosphocholine in Cultured Murine Neuroblastoma Cells1. The Journal of Biochemistry. 113(4). 467–472. 8 indexed citations
13.
Koizumi, Naoko, et al.. (1988). Glycosphingolipids in sheep liver, kidney, and various blood cells.. PubMed. 58(1). 21–31. 5 indexed citations
14.
Kawachi, Shigeo, Toshiaki Saida, Hisashi Uhara, et al.. (1988). Heterophile Hanganutziu-Deicher Antigen in Ganglioside Fractions of Human Melanoma Tissues. International Archives of Allergy and Immunology. 85(3). 381–383. 17 indexed citations
15.
Uemura, Keiichi, et al.. (1985). Antibody response of rabbits to nerve ending gangliosides. Journal of Neuroimmunology. 9(5). 269–280. 1 indexed citations
16.
Uemura, Keiichi. (1980). [The teratogenic effects of ethylene glycol dimethyl ether on mouse (author's transl)].. PubMed. 32(1). 113–21. 7 indexed citations
17.
Taketomi, Tamotsu, Atsushi Hara, & Keiichi Uemura. (1975). Immunochemical studies of lipids. IV. Chemical modification of Forssman globoside and immunological activities.. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 45(4). 293–8. 2 indexed citations
18.
Six, Howard R., William W. Young, Keiichi Uemura, & Stephen C. Kinsky. (1974). Effect of antibody-complement on multiple vs. single compartment liposomes. Application of a fluorometric assay for following changes in liposomal permeability. Biochemistry. 13(19). 4050–4058. 70 indexed citations
19.
Six, Howard R., Keiichi Uemura, & Stephen C. Kinsky. (1973). Effect of immunoglobulin class and affinity on the initiation of complement-dependent damage to liposomal model membranes sensitized with dinitrophenylated phospholipids. Biochemistry. 12(20). 4003–4011. 75 indexed citations
20.
Uemura, Keiichi & Stephen C. Kinsky. (1972). Active vs. passive sensitization of liposomes toward antibody and complement by dinitrophenylated derivatives of phosphatidylethanolamine. Biochemistry. 11(22). 4085–4094. 46 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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