H Kimura

549 total citations
18 papers, 468 citations indexed

About

H Kimura is a scholar working on Molecular Biology, Oncology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, H Kimura has authored 18 papers receiving a total of 468 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 6 papers in Oncology and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in H Kimura's work include Glycosylation and Glycoproteins Research (12 papers), Monoclonal and Polyclonal Antibodies Research (5 papers) and Peptidase Inhibition and Analysis (2 papers). H Kimura is often cited by papers focused on Glycosylation and Glycoproteins Research (12 papers), Monoclonal and Polyclonal Antibodies Research (5 papers) and Peptidase Inhibition and Analysis (2 papers). H Kimura collaborates with scholars based in Japan, United States and Netherlands. H Kimura's co-authors include Donald M. Marcus, Hisashi Narimatsu, Shoko Nishihara, Takashi Kudo, Nicolaas A. Bos, Bernard S. Wostmann, Robbert Benner, Julian R. Pleasants, M. P. Hazenberg and Richard G. Cook and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Immunology and Biochemical and Biophysical Research Communications.

In The Last Decade

H Kimura

18 papers receiving 451 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
H Kimura Japan 13 236 186 117 70 57 18 468
R. Wendy Loveless United Kingdom 13 501 2.1× 268 1.4× 115 1.0× 32 0.5× 170 3.0× 13 734
Matko Cikes Sweden 11 202 0.9× 306 1.6× 89 0.8× 77 1.1× 15 0.3× 17 606
Helen McGrath Canada 7 260 1.1× 211 1.1× 123 1.1× 66 0.9× 34 0.6× 12 584
Toyo Suzuki Japan 13 234 1.0× 247 1.3× 61 0.5× 43 0.6× 13 0.2× 17 615
J E Bubbers United States 15 202 0.9× 379 2.0× 156 1.3× 102 1.5× 38 0.7× 26 676
Mayumi Shiota Japan 11 212 0.9× 149 0.8× 21 0.2× 30 0.4× 30 0.5× 18 485
Dorothy Yuan United States 19 413 1.8× 568 3.1× 126 1.1× 184 2.6× 8 0.1× 38 1.0k
Richard W. Roof United States 8 273 1.2× 352 1.9× 111 0.9× 33 0.5× 14 0.2× 9 589
Jennifer Patterson United States 13 310 1.3× 160 0.9× 38 0.3× 93 1.3× 15 0.3× 27 648
C E Grossi Italy 12 120 0.5× 280 1.5× 45 0.4× 39 0.6× 7 0.1× 20 499

Countries citing papers authored by H Kimura

Since Specialization
Citations

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

Fields of papers citing papers by H Kimura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of H Kimura

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

All Works

18 of 18 papers shown
1.
Sasaki, Osamu, et al.. (2011). Economic effects of using sexed semen in Japanese dairy herds. Animal Science Journal. 82(3). 486–493. 6 indexed citations
2.
Tsuji, Akiko, et al.. (2007). Unusual death of a baby: a dog attack and confirmation using human and canine STRs. International Journal of Legal Medicine. 122(1). 59–62. 20 indexed citations
3.
Kimura, Naohiro, Kazuo Kurokawa, Keiichi Yamamoto, et al.. (1998). Molecular Identification of the Antigens Recognized by Monoclonal Antibody JT95 Specific for Thyroid Carcinomas. Biochemical and Biophysical Research Communications. 251(2). 449–453. 9 indexed citations
4.
Kimura, H, Naoko Shinya, Shoko Nishihara, et al.. (1997). Distinct Substrate Specificities of Five Human α-1,3-Fucosyltransferases forin VivoSynthesis of the Sialyl Lewis x and Lewis x Epitopes. Biochemical and Biophysical Research Communications. 237(1). 131–137. 36 indexed citations
5.
Kimura, H, et al.. (1997). Neurocutaneous melanosis with intracranial malignant melanoma in an adult: a case report.. PubMed. 25(9). 819–22. 16 indexed citations
6.
Narimatsu, Hisashi, Hiroko Iwasaki, Shoko Nishihara, et al.. (1996). Genetic evidence for the Lewis enzyme, which synthesizes type-1 Lewis antigens in colon tissue, and intracellular localization of the enzyme.. PubMed. 56(2). 330–8. 41 indexed citations
7.
Kimura, H, Takashi Kudo, Shoko Nishihara, et al.. (1995). Murine monoclonal antibody recognizing human ?(1,3/1,4)fucosyltransferase. Glycoconjugate Journal. 12(6). 802–812. 15 indexed citations
8.
Homma, R, et al.. (1995). [Production of a monoclonal antibody against Cry j 2].. PubMed. 44(4). 461–6. 3 indexed citations
9.
Nishihara, Shoko, et al.. (1993). Human α-1,3 Fucosyltransferase (FucT-VI) Gene Is Located at Only 13 kb 3′ to the Lewis Type Fucosyltransferase (FucT-III) Gene on Chromosome 19. Biochemical and Biophysical Research Communications. 190(1). 42–46. 34 indexed citations
10.
Ohyama, Shigekazu, Yutaka Yonemura, H Kimura, et al.. (1991). [Application of anti-p-105 monoclonal antibody to analysis of mode of action of antitumor agents].. PubMed. 18(8). 1273–8. 3 indexed citations
11.
Schwoebel, Eric, Sarvamangala V. Prasad, Therese M. Timmons, et al.. (1991). Isolation and characterization of a full-length cDNA encoding the 55-kDa rabbit zona pellucida protein.. Journal of Biological Chemistry. 266(11). 7214–7219. 65 indexed citations
12.
Kimura, H, et al.. (1989). Expression of a cross-reactive idiotope on naturally occurring murine antibodies against 3-fucosyllactosamine, levan, and dextran.. The Journal of Immunology. 142(10). 3477–3481. 13 indexed citations
13.
Bos, Nicolaas A., H Kimura, M. P. Hazenberg, et al.. (1989). Serum immunoglobulin levels and naturally occurring antibodies against carbohydrate antigens in germ‐free BALB/c mice fed chemically defined ultrafiltered diet. European Journal of Immunology. 19(12). 2335–2339. 117 indexed citations
14.
Kimura, H, E. Stephen Buescher, Edward D. Ball, & Donald M. Marcus. (1989). Restricted usage of VH and VX genes by murine monoclonal antibodies against 3‐fucosyllactosamine. European Journal of Immunology. 19(9). 1741–1746. 26 indexed citations
15.
Kimura, H, Richard G. Cook, Makoto Umeda, et al.. (1988). Sequences of the VH and VL regions of murine monoclonal antibodies against 3-fucosyllactosamine.. The Journal of Immunology. 140(4). 1212–1217. 19 indexed citations
16.
17.
Taki, T., H Kimura, S Gasa, M. Nakamura, & M Matsumoto. (1985). A new type of blood group B active glycosphingolipid in rat bone marrow cells. Occurrence of the glycolipid in rat immunocytes and ascites hepatoma.. Journal of Biological Chemistry. 260(10). 6219–6225. 23 indexed citations
18.
Taki, Takao, et al.. (1983). Developmental Changes of Ganglioside Compositions and Biosyntheses in Rat Bone Marrow Cells, Spleen and Thymus1. The Journal of Biochemistry. 94(3). 925–930. 16 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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