Hidetoshi Uemura

500 total citations
17 papers, 391 citations indexed

About

Hidetoshi Uemura is a scholar working on Molecular Biology, Genetics and Genetics. According to data from OpenAlex, Hidetoshi Uemura has authored 17 papers receiving a total of 391 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Genetics and 4 papers in Genetics. Recurrent topics in Hidetoshi Uemura's work include Coagulation, Bradykinin, Polyphosphates, and Angioedema (5 papers), Virus-based gene therapy research (4 papers) and interferon and immune responses (2 papers). Hidetoshi Uemura is often cited by papers focused on Coagulation, Bradykinin, Polyphosphates, and Angioedema (5 papers), Virus-based gene therapy research (4 papers) and interferon and immune responses (2 papers). Hidetoshi Uemura collaborates with scholars based in Japan and United States. Hidetoshi Uemura's co-authors include Shinichi Mitsui, Akira Okui, Nozomi Yamaguchi, Katsuya Kominami, Tatsuo Yamada, Ryoyo Ikebuchi, Yukinari Kato, Tatsuya Deguchi, Chie Nakajima and Yūsuke Izumi and has published in prestigious journals such as Scientific Reports, Biochemical and Biophysical Research Communications and Journal of Controlled Release.

In The Last Decade

Hidetoshi Uemura

16 papers receiving 375 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hidetoshi Uemura Japan 11 112 103 101 98 85 17 391
John M. Cowan United States 7 251 2.2× 152 1.5× 45 0.4× 143 1.5× 39 0.5× 8 504
Ursula R. Sorg Germany 13 254 2.3× 73 0.7× 54 0.5× 177 1.8× 186 2.2× 26 580
Naruhiko Takasawa Japan 12 127 1.1× 31 0.3× 33 0.3× 146 1.5× 196 2.3× 21 484
M. Nolte Germany 12 128 1.1× 57 0.6× 37 0.4× 78 0.8× 118 1.4× 18 398
Hyung Geun Song South Korea 15 165 1.5× 20 0.2× 79 0.8× 133 1.4× 87 1.0× 39 453
M. Fiore United Kingdom 7 136 1.2× 59 0.6× 47 0.5× 23 0.2× 57 0.7× 9 433
Kohsuke Yanagisawa Japan 14 140 1.3× 50 0.5× 29 0.3× 129 1.3× 166 2.0× 29 520
Anthony Warford United Kingdom 14 276 2.5× 50 0.5× 28 0.3× 166 1.7× 186 2.2× 25 663
Jun-ichi Yata Japan 7 177 1.6× 46 0.4× 24 0.2× 46 0.5× 215 2.5× 7 520
ME Conley United States 12 139 1.2× 35 0.3× 36 0.4× 56 0.6× 197 2.3× 18 431

Countries citing papers authored by Hidetoshi Uemura

Since Specialization
Citations

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

Fields of papers citing papers by Hidetoshi Uemura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hidetoshi Uemura

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

All Works

17 of 17 papers shown
1.
Maekawa, Naoya, Satoru Konnai, Satoshi Takagi, et al.. (2017). A canine chimeric monoclonal antibody targeting PD-L1 and its clinical efficacy in canine oral malignant melanoma or undifferentiated sarcoma. Scientific Reports. 7(1). 8951–8951. 115 indexed citations
2.
Mitsui, Shinichi, Terukazu Nakamura, Akira Okui, et al.. (2006). Multiple promoters regulate tissue‐specific alternative splicing of the human kallikrein gene, KLK11/hippostasin. FEBS Journal. 273(16). 3678–3686. 13 indexed citations
3.
Mitsui, Shinichi, Akira Okui, Katsuya Kominami, et al.. (2005). A novel serine protease highly expressed in the pancreas is expressed in various kinds of cancer cells. FEBS Journal. 272(19). 4911–4923. 14 indexed citations
4.
Watanabe, Yoshihisa, Akira Okui, Shinichi Mitsui, et al.. (2004). Molecular cloning and tissue-specific expression analysis of mouse spinesin, a type II transmembrane serine protease 5. Biochemical and Biophysical Research Communications. 324(1). 333–340. 9 indexed citations
5.
Mitsui, Shinichi, Akira Okui, Hidetoshi Uemura, et al.. (2002). Decreased Cerebrospinal Fluid Levels of Neurosin (KLK6), an Aging‐Related Protease, as a Possible New Risk Factor for Alzheimer's Disease. Annals of the New York Academy of Sciences. 977(1). 216–223. 37 indexed citations
6.
Okui, Akira, Katsuya Kominami, Hidetoshi Uemura, Shinichi Mitsui, & Nozomi Yamaguchi. (2001). Characterization of a brain-related serine protease, neurosin (human kaillikrein 6), in human cerebrospinal fluid. Neuroreport. 12(7). 1345–1350. 29 indexed citations
7.
Mitsui, Shinichi, Akira Okui, Katsuya Kominami, Hidetoshi Uemura, & Nozomi Yamaguchi. (2000). cDNA cloning and tissue-specific splicing variants of mouse hippostasin/TLSP (PRSS20). Biochimica et Biophysica Acta (BBA) - Gene Structure and Expression. 1494(1-2). 206–210. 17 indexed citations
8.
Nakanishi, Tsuyoshi, et al.. (2000). A novel nonviral vector based on vesicular stomatitis virus. Journal of Controlled Release. 68(2). 187–194. 3 indexed citations
9.
Mitsui, Shinichi, Tatsuo Yamada, Akira Okui, et al.. (2000). A Novel Isoform of a Kallikrein-like Protease, TLSP/Hippostasin, (PRSS20), Is Expressed in the Human Brain and Prostate. Biochemical and Biophysical Research Communications. 272(1). 205–211. 51 indexed citations
10.
Zhang, Jing, Osamu Yamada, Takayoshi Ito, et al.. (1999). A Single Nucleotide Insertion in the 5′-Untranslated Region of Hepatitis C Virus Leads to Enhanced Cap-Independent Translation. Virology. 261(2). 263–270. 19 indexed citations
11.
Kawano, Naomi, Yoshiaki Inayama, Yoji Nagashima, et al.. (1999). Desmoplastic small round-cell tumor of the paratesticular region: report of an adult case with demonstration of EWS and WT1 gene fusion using paraffin-embedded tissue.. PubMed. 12(7). 729–34. 17 indexed citations
12.
Nakagawa, Shinsaku, et al.. (1998). Development of VSV-liposomes as a novel gene transfer vector.. Drug Delivery System. 13(3). 159–164. 1 indexed citations
13.
Koga, Junichi, et al.. (1994). Identification of Glycosylated Subtypes of Interferon-αProduced by Human Leukocytes. Bioscience Biotechnology and Biochemistry. 58(9). 1714–1715. 1 indexed citations
14.
Uemura, Hidetoshi, Takashi Tanaka, Shuh‐ichi Nishikawa, et al.. (1991). Activity artificial mutant variants of human growth hormone deficient in a disulfide bond between Cys53 and Cys165.. Chemical and Pharmaceutical Bulletin. 39(1). 150–153. 6 indexed citations
15.
Yamada, Osamu, Masahiro Nakashima, Toshio Kamahora, et al.. (1990). A new method for extracting DNA or RNA for polymerase chain reaction. Journal of Virological Methods. 27(2). 203–209. 46 indexed citations
16.
Imanishi, Jirô, Hidetoshi Uemura, Tadashi Imanishi, et al.. (1983). Tumor degeneration by human embryonic fibroblasts and its enhancement by interferon.. PubMed. 43(9). 4323–6. 13 indexed citations
17.
Imanishi, Jirô, Shigeki Hoshino, Hidetoshi Uemura, et al.. (1983). [Production and characterization of human tumor degenerating factor (TDF)].. PubMed. 177(4). 570–3.

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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