H. Hattori

921 total citations
24 papers, 758 citations indexed

About

H. Hattori is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism and Molecular Biology. According to data from OpenAlex, H. Hattori has authored 24 papers receiving a total of 758 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Surgery, 6 papers in Endocrinology, Diabetes and Metabolism and 5 papers in Molecular Biology. Recurrent topics in H. Hattori's work include Lipoproteins and Cardiovascular Health (7 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers) and Antimicrobial Resistance in Staphylococcus (4 papers). H. Hattori is often cited by papers focused on Lipoproteins and Cardiovascular Health (7 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers) and Antimicrobial Resistance in Staphylococcus (4 papers). H. Hattori collaborates with scholars based in Japan, Netherlands and United States. H. Hattori's co-authors include Shinichi Nakamura, Hisahiro Yoshida, Hiroki Ito, Tsuyoshi Kojima, Jun‐ichi Yamagishi, Yoshihiro Oyamada, Kenzo Fujimoto, Shinichiro Nakamura, M Bogaki and Mami Nakamura and has published in prestigious journals such as Applied and Environmental Microbiology, Biochemical Journal and European Heart Journal.

In The Last Decade

H. Hattori

24 papers receiving 725 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. Hattori Japan 14 367 205 161 159 157 24 758
Jennifer L. Hoover United States 14 308 0.8× 289 1.4× 23 0.1× 67 0.4× 101 0.6× 23 883
Joey Leung United States 11 340 0.9× 87 0.4× 45 0.3× 219 1.4× 222 1.4× 14 1.1k
Tomoyuki Homma Japan 12 269 0.7× 56 0.3× 109 0.7× 77 0.5× 24 0.2× 24 690
Helena Ramos Portugal 17 385 1.0× 295 1.4× 46 0.3× 73 0.5× 46 0.3× 38 863
M Tanaka Japan 13 228 0.6× 186 0.9× 27 0.2× 108 0.7× 115 0.7× 23 689
Michael R. Leadbetter United States 11 280 0.8× 37 0.2× 29 0.2× 94 0.6× 56 0.4× 19 723
Wenliang Wang China 15 347 0.9× 83 0.4× 46 0.3× 147 0.9× 175 1.1× 30 978
Fujio Kobayashi Japan 17 356 1.0× 259 1.3× 14 0.1× 48 0.3× 29 0.2× 55 845
Jufeng Xia Japan 17 273 0.7× 54 0.3× 16 0.1× 76 0.5× 33 0.2× 26 737
Hye Jin Kim South Korea 14 202 0.6× 61 0.3× 82 0.5× 31 0.2× 70 0.4× 26 849

Countries citing papers authored by H. Hattori

Since Specialization
Citations

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

Fields of papers citing papers by H. Hattori

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of H. Hattori

This figure shows the co-authorship network connecting the top 25 collaborators of H. Hattori. A scholar is included among the top collaborators of H. Hattori 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. Hattori. H. Hattori 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.
Dallinga‐Thie, Geesje M., A. van Tol, H. Hattori, et al.. (2006). Plasma apolipoprotein A5 and triglycerides in type 2 diabetes. Diabetologia. 49(7). 1505–1511. 64 indexed citations
2.
3.
Rensen, Patrick C.N., et al.. (2006). Th-P15:62 Plasma APOAV levels are markedly elevated in severe hypertriglyceridemia and are positively correlated with the APOA5 S19W polymorphism. Atherosclerosis Supplements. 7(3). 506–506. 3 indexed citations
4.
Oomen, P. H. N., Arie van Tol, H. Hattori, et al.. (2005). Human plasma phospholipid transfer protein activity is decreased by acute hyperglycaemia: studies without and with hyperinsulinaemia in Type 1 diabetes mellitus. Diabetic Medicine. 22(6). 768–774. 15 indexed citations
5.
Dullaart, Robin P. F., R. de Vries, L.M. Scheek, et al.. (2004). Type 2 diabetes mellitus is associated with differential effects on plasma cholesteryl ester transfer protein and phospholipid transfer protein activities and concentrations. Scandinavian Journal of Clinical and Laboratory Investigation. 64(3). 205–216. 40 indexed citations
6.
Ishii, Jun, Makoto Nagano, Takeshi Kujiraoka, et al.. (2002). Clinical variant of Tangier disease in Japan: mutation of the ABCA1 gene in hypoalphalipoproteinemia with corneal lipidosis. Journal of Human Genetics. 47(7). 366–369. 23 indexed citations
7.
Ogawa, Tetsuhei, Kenichi Maruyama, H. Hattori, et al.. (2000). A new variant of apolipoprotein E (apo E Maebashi) in lipoprotein glomerulopathy. Pediatric Nephrology. 14(2). 149–151. 34 indexed citations
8.
9.
Hattori, H., Makoto Nagano, Toru Egashira, et al.. (1999). A new novel mutation of the apolipoprotein E gene in a patient with lipoprotein glomerulopathy. Atherosclerosis. 144. 104–104. 1 indexed citations
10.
Hattori, H., et al.. (1999). Identification of recurrent and novel mutations in the LDL receptor gene in Japanese familial hypercholesterolemia. Mutation in brief no. 248. Online.. Toxicology and Industrial Health. 14(1). 87–87. 14 indexed citations
11.
Jauhiainen, Matti, Jarkko Huuskonen, Marc Baumann, et al.. (1999). Phospholipid transfer protein (PLTP) causes proteolytic cleavage of apolipoprotein A-I. Journal of Lipid Research. 40(4). 654–664. 30 indexed citations
12.
Yamagishi, Jun‐ichi, Tsuyoshi Kojima, Yoshihiro Oyamada, et al.. (1996). Alterations in the DNA topoisomerase IV grlA gene responsible for quinolone resistance in Staphylococcus aureus. Antimicrobial Agents and Chemotherapy. 40(5). 1157–1163. 107 indexed citations
13.
Kojima, Tsuyoshi, Jun‐ichi Yamagishi, Yoshihiro Oyamada, et al.. (1995). Analysis of Quinolone Resistance Genes in a Clinical Isolate of Quinolone-Resistant MRSA. Drugs. 49(Supplement 2). 182–184. 9 indexed citations
14.
Hattori, H., et al.. (1995). ANTIGENICITY STUDY OF IODIXANOL, A NEW NON-IONIC CONTRAST MEDIUM. The Journal of Toxicological Sciences. 20(SupplementI). 117–123. 2 indexed citations
15.
Kunishima, Shinji, Satoko Kobayashi, H. Hattori, et al.. (1994). Chrome congestive heart failure. European Heart Journal. 15(3). 335–338. 24 indexed citations
16.
Ito, Hiroki, et al.. (1994). Quinolone resistance mutations in the DNA gyrase gyrA and gyrB genes of Staphylococcus aureus. Antimicrobial Agents and Chemotherapy. 38(9). 2014–2023. 136 indexed citations
17.
Yoshida, Hisahiro, Mami Nakamura, M Bogaki, et al.. (1993). Mechanism of action of quinolones against Escherichia coli DNA gyrase. Antimicrobial Agents and Chemotherapy. 37(4). 839–845. 91 indexed citations
18.
Yoshida, S, et al.. (1993). A case of HLA-B27 negative ankylosing spondylitis treated with methylprednisolone pulse therapy.. PubMed. 20(10). 1805–6. 7 indexed citations
19.
Ohashi, Hiroshi, et al.. (1988). Molecular cloning of the penicillin G acylase gene from Arthrobacter viscosus. Applied and Environmental Microbiology. 54(11). 2603–2607. 36 indexed citations
20.
Tomita, Kenji, et al.. (1966). Clinical and experimental studies on the hemodynamics in acute intestinal obstruction.. PubMed. 46(5). 496–504. 1 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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