Seiji Fukuda

6.5k total citations
197 papers, 5.1k citations indexed

About

Seiji Fukuda is a scholar working on Molecular Biology, Physiology and Epidemiology. According to data from OpenAlex, Seiji Fukuda has authored 197 papers receiving a total of 5.1k indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Molecular Biology, 63 papers in Physiology and 35 papers in Epidemiology. Recurrent topics in Seiji Fukuda's work include Lysosomal Storage Disorders Research (50 papers), Carbohydrate Chemistry and Synthesis (33 papers) and Metabolism and Genetic Disorders (30 papers). Seiji Fukuda is often cited by papers focused on Lysosomal Storage Disorders Research (50 papers), Carbohydrate Chemistry and Synthesis (33 papers) and Metabolism and Genetic Disorders (30 papers). Seiji Fukuda collaborates with scholars based in Japan, United States and United Kingdom. Seiji Fukuda's co-authors include Louis M. Pelus, Shunji Tomatsu, Kazuko Sukegawa, Seiji Yamaguchi, Hal E. Broxmeyer, Tadao Orii, Huimin Bian, Hironori Kobayashi, Nobuyuki Shimozawa and Yuki Hasegawa and has published in prestigious journals such as Cell, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Seiji Fukuda

188 papers receiving 5.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Seiji Fukuda Japan 41 2.2k 1.5k 924 851 840 197 5.1k
Hans J. Baelde Netherlands 41 1.8k 0.8× 737 0.5× 240 0.3× 241 0.3× 523 0.6× 160 5.8k
Bernd Engelmann Germany 32 1.6k 0.7× 533 0.4× 729 0.8× 1.7k 2.1× 310 0.4× 69 5.7k
Maurizio Sorice Italy 40 2.6k 1.2× 551 0.4× 544 0.6× 647 0.8× 157 0.2× 185 5.1k
Manuel O. Landázuri Spain 47 2.7k 1.2× 537 0.4× 395 0.4× 507 0.6× 900 1.1× 109 6.9k
Jasbir Seehra United States 35 3.0k 1.4× 1.3k 0.9× 488 0.5× 1.5k 1.8× 869 1.0× 65 6.4k
Mordechai Pras Israel 43 7.0k 3.2× 1.2k 0.8× 445 0.5× 580 0.7× 602 0.7× 159 8.4k
David H. Lovett United States 50 2.5k 1.1× 334 0.2× 292 0.3× 693 0.8× 995 1.2× 126 6.6k
Rafał Pawliński United States 40 2.2k 1.0× 490 0.3× 711 0.8× 2.1k 2.5× 443 0.5× 103 6.7k
Pierre Gane France 37 1.0k 0.5× 1.5k 1.0× 415 0.4× 1.4k 1.6× 346 0.4× 112 3.8k
Ronald Herbst United States 39 2.4k 1.1× 301 0.2× 375 0.4× 241 0.3× 2.0k 2.4× 130 6.5k

Countries citing papers authored by Seiji Fukuda

Since Specialization
Citations

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

Fields of papers citing papers by Seiji Fukuda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Seiji Fukuda

This figure shows the co-authorship network connecting the top 25 collaborators of Seiji Fukuda. A scholar is included among the top collaborators of Seiji Fukuda 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 Seiji Fukuda. Seiji Fukuda 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.
Tomatsu, Shunji, Kenji E. Orii, Toshiyuki Fukao, et al.. (2020). Validation of Liquid Chromatography-Tandem Mass Spectrometry-Based 5-Plex Assay for Mucopolysaccharidoses. International Journal of Molecular Sciences. 21(6). 2025–2025. 4 indexed citations
2.
Takahashi, Tomoo, Yuki Hasegawa, Kenji Yamada, et al.. (2016). Metabolic Survey of Hidden Inherited Metabolic Diseases in Children With Apparent Life-Threatening Event(ALTE)or Sudden Unexpected Death in Infancy(SUDI)by Analyses of Organic Acids and Acylcarnitines Using Mass Spectrometries. 32(2). 61–68. 1 indexed citations
3.
Abe, Mariko, Louis M. Pelus, Pratibha Singh, et al.. (2016). Internal Tandem Duplication in FLT3 Attenuates Proliferation and Regulates Resistance to the FLT3 Inhibitor AC220 by Modulating p21Cdkn1a and Pbx1 in Hematopoietic Cells. PMC.
4.
Hirose, Masahiro, et al.. (2015). A Study on Health Care Professional’s Sense of Ethics In Japan. Value in Health. 18(7). A566–A566. 1 indexed citations
5.
Yamada, Kenji, et al.. (2012). A case of neuroendocrine tumor in the accessory papilla of the duodenum. Nihon Rinsho Geka Gakkai Zasshi (Journal of Japan Surgical Association). 73(9). 2284–2289. 1 indexed citations
6.
7.
Taketani, Takeshi, et al.. (2009). Pure Red Cell Precursor Toxicity by Linezolid in a Pediatric Case. Journal of Pediatric Hematology/Oncology. 31(9). 684–686. 15 indexed citations
8.
Nakamura, Takehiko, et al.. (2007). A Case of an Atypical Lipomatous Tumor on the Right Upper Back. The Nishinihon Journal of Dermatology. 69(3). 263–265. 2 indexed citations
9.
Yamaguchi, Kenji, et al.. (2004). A Resected Case of Fibrolamellar Carcinoma in a 24 Years Old Woman: A Case Report and Review of Japanese Cases. The Japanese Journal of Gastroenterological Surgery. 37(10). 1645–1652. 4 indexed citations
10.
Okabe, Seiichi, Seiji Fukuda, & Hal E. Broxmeyer. (2002). Src Kinase, but Not the Src Kinase Family Member p56 lck , Mediates Stromal Cell-Derived Factor 1α/CXCL12-Induced Chemotaxis of a T Cell Line. Journal of Hematotherapy & Stem Cell Research. 11(6). 923–928. 13 indexed citations
11.
Inoue, Ryosuke, Toshiyuki Fukao, Hideo Kaneko, et al.. (1998). Ataxia Telangiectasia Associated with B-Cell Lymphoma: The Effect of a Half-Dose of the Drugs Administered According to the Acute Lymphoblastic Leukemia Standard Risk Protocol. Pediatric Hematology and Oncology. 15(5). 425–429. 8 indexed citations
12.
Tomatsu, Shunji, Seiji Fukuda, Akihiko Yamagishi, et al.. (1996). Mucopolysaccharidosis IVA: four new exonic mutations in patients with N-acetylgalactosamine-6-sulfate sulfatase deficiency.. PubMed Central. 58(5). 950–62. 25 indexed citations
13.
14.
Inuyama, Yukio, et al.. (1994). [Current status of clinical trials on pre- and postoperative chemotherapy for head and neck cancer].. PubMed. 21 Suppl 3. 338–47. 1 indexed citations
15.
Fukuda, Seiji, et al.. (1992). A case report of multicystic peritoneal mesothelioma.. The Journal of the Japanese Society of Clinical Cytology. 31(3). 527–530. 1 indexed citations
16.
Tomatsu, Shunji, et al.. (1990). Molecular basis of mucopolysaccharidosis type VII: replacement of Ala619 in β-glucuronidase with Val. Gene. 89(2). 283–287. 28 indexed citations
17.
Fukuda, Seiji, et al.. (1981). Hot water turbine for waste heat recovery power generation.
18.
Fukuda, Seiji, et al.. (1972). Performance of Various Impregnated Activated Charcoal Cartridges and Filter Paper for Sampling Airborne Radioiodine. Journal of the Atomic Energy Society of Japan / Atomic Energy Society of Japan. 14(10). 531–539. 2 indexed citations
19.
Fukuda, Seiji, et al.. (1971). Performance of Charcoal-Impregnated Filter Paper Type CP-20 for Collecting Airborne Radioiodine. Journal of the Atomic Energy Society of Japan / Atomic Energy Society of Japan. 13(4). 174–181. 1 indexed citations
20.
Yoshida, Yoshikazu, et al.. (1966). A Practical Method for Evaluating the Neutron Dose Equivalent Rate. Journal of Nuclear Science and Technology. 3(11). 473–478. 5 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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