Fumio Seki

1.5k total citations
32 papers, 1.1k citations indexed

About

Fumio Seki is a scholar working on Epidemiology, Infectious Diseases and Animal Science and Zoology. According to data from OpenAlex, Fumio Seki has authored 32 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Epidemiology, 12 papers in Infectious Diseases and 11 papers in Animal Science and Zoology. Recurrent topics in Fumio Seki's work include Virology and Viral Diseases (28 papers), Respiratory viral infections research (14 papers) and Animal Virus Infections Studies (11 papers). Fumio Seki is often cited by papers focused on Virology and Viral Diseases (28 papers), Respiratory viral infections research (14 papers) and Animal Virus Infections Studies (11 papers). Fumio Seki collaborates with scholars based in Japan, Thailand and Vietnam. Fumio Seki's co-authors include Yusuke Yanagi, Makoto Takeda, Ryoji Yamaguchi, Nobuyuki Ono, Shinji Ohno, Maino Tahara, Yuichiro Nakatsu, Kouji Sakai, Noriyuki Otsuki and Katsuhiro Komase and has published in prestigious journals such as PLoS ONE, Journal of Virology and Scientific Reports.

In The Last Decade

Fumio Seki

30 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fumio Seki Japan 18 944 385 358 276 142 32 1.1k
Bevan Sawatsky Germany 16 807 0.9× 428 1.1× 273 0.8× 194 0.7× 115 0.8× 25 1.1k
Chanakha K. Navaratnarajah United States 19 991 1.0× 490 1.3× 337 0.9× 205 0.7× 117 0.8× 30 1.2k
Elizabeth A. Stillman United States 9 668 0.7× 412 1.1× 330 0.9× 233 0.8× 82 0.6× 10 942
Philippe Plattet Switzerland 24 984 1.0× 330 0.9× 537 1.5× 216 0.8× 202 1.4× 60 1.3k
Thierry Pelet Switzerland 11 786 0.8× 390 1.0× 259 0.7× 231 0.8× 61 0.4× 12 1.0k
Vincent H. J. Léonard United States 15 920 1.0× 577 1.5× 349 1.0× 220 0.8× 91 0.6× 17 1.3k
Frank Radecke Germany 11 777 0.8× 366 1.0× 360 1.0× 240 0.9× 57 0.4× 13 1.1k
Karin Kaelin Switzerland 11 1.4k 1.5× 573 1.5× 449 1.3× 339 1.2× 118 0.8× 13 1.6k
Ken Lemon United Kingdom 18 601 0.6× 337 0.9× 152 0.4× 139 0.5× 63 0.4× 29 822
Sateesh Krishnamurthy United States 16 723 0.8× 372 1.0× 289 0.8× 262 0.9× 43 0.3× 20 1.1k

Countries citing papers authored by Fumio Seki

Since Specialization
Citations

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

Fields of papers citing papers by Fumio Seki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fumio Seki

This figure shows the co-authorship network connecting the top 25 collaborators of Fumio Seki. A scholar is included among the top collaborators of Fumio Seki 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 Fumio Seki. Fumio Seki 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.
Tashiro, K., Kana Konishi, Fumio Seki, et al.. (2025). Serological Evidence of Cetacean Morbillivirus Infection in Common Bottlenose Dolphins in Japan. Microbiology and Immunology. 69(5). 307–312.
2.
Okura, Takashi, Kei Miyakawa, Maino Tahara, et al.. (2024). Rapid quantitative detection system for measles virus‐neutralizing antibodies using HiBiT‐tagged virus‐like particles. Microbiology and Immunology. 68(4). 160–164.
3.
Seki, Fumio & Makoto Takeda. (2022). Novel and classical morbilliviruses: Current knowledge of three divergent morbillivirus groups. Microbiology and Immunology. 66(12). 552–563. 4 indexed citations
4.
Seki, Fumio, Yuta Yamamoto, Hideo Fukuhara, et al.. (2020). Measles Virus Hemagglutinin Protein Establishes a Specific Interaction With the Extreme N-Terminal Region of Human Signaling Lymphocytic Activation Molecule to Enhance Infection. Frontiers in Microbiology. 11. 1830–1830. 4 indexed citations
5.
Takeda, Makoto, Fumio Seki, Yuta Yamamoto, Naganori Nao, & Hiroaki Tokiwa. (2020). Animal morbilliviruses and their cross-species transmission potential. Current Opinion in Virology. 41. 38–45. 22 indexed citations
6.
Seki, Fumio, Kazue Ohishi, Tadashi Maruyama, & Makoto Takeda. (2020). Phocine distemper virus uses phocine and other animal SLAMs as a receptor but not human SLAM. Microbiology and Immunology. 64(8). 578–583. 6 indexed citations
7.
Fukuhara, Hideo, Yuri Ito, Mizuho Kajikawa, et al.. (2019). Specificity of Morbillivirus Hemagglutinins to Recognize SLAM of Different Species. Viruses. 11(8). 761–761. 12 indexed citations
8.
Nao, Naganori, Ko Sato, Junya Yamagishi, et al.. (2019). Consensus and variations in cell line specificity among human metapneumovirus strains. PLoS ONE. 14(4). e0215822–e0215822. 45 indexed citations
9.
Ohishi, Kazue, Tadashi Maruyama, Fumio Seki, & Makoto Takeda. (2019). Marine Morbilliviruses: Diversity and Interaction with Signaling Lymphocyte Activation Molecules. Viruses. 11(7). 606–606. 12 indexed citations
10.
Sakata, Masafumi, Hideki Tani, Masaki Anraku, et al.. (2017). Analysis of VSV pseudotype virus infection mediated by rubella virus envelope proteins. Scientific Reports. 7(1). 11607–11607. 16 indexed citations
11.
Seki, Fumio, Kenji Someya, Katsuhiro Komase, & Makoto Takeda. (2015). A chicken homologue of nectin-4 functions as a measles virus receptor. Vaccine. 34(1). 7–12. 7 indexed citations
12.
Otsuki, Noriyuki, Yuichiro Nakatsu, Toru Kubota, et al.. (2013). The V Protein of Canine Distemper Virus Is Required for Virus Replication in Human Epithelial Cells. PLoS ONE. 8(12). e82343–e82343. 15 indexed citations
14.
Otsuki, Noriyuki, Tsuyoshi Sekizuka, Fumio Seki, et al.. (2012). Canine distemper virus with the intact C protein has the potential to replicate in human epithelial cells by using human nectin4 as a receptor. Virology. 435(2). 485–492. 27 indexed citations
15.
Takeda, Makoto, Maino Tahara, Noriyo Nagata, & Fumio Seki. (2012). Wild-Type Measles Virus is Intrinsically Dual-Tropic. Frontiers in Microbiology. 2. 279–279. 20 indexed citations
16.
Yanagi, Yusuke, Makoto Takeda, Shinji Ohno, & Fumio Seki. (2006). Measles Virus Receptors and Tropism. Japanese Journal of Infectious Diseases. 59(1). 1–5. 22 indexed citations
17.
Ohno, Shinji, Nobuyuki Ono, Fumio Seki, et al.. (2006). Measles Virus Infection of SLAM (CD150) Knockin Mice Reproduces Tropism and Immunosuppression in Human Infection. Journal of Virology. 81(4). 1650–1659. 53 indexed citations
18.
Seki, Fumio, Makoto Takeda, Hiroko Minagawa, & Yusuke Yanagi. (2006). Recombinant wild-type measles virus containing a single N481Y substitution in its haemagglutinin cannot use receptor CD46 as efficiently as that having the haemagglutinin of the Edmonston laboratory strain. Journal of General Virology. 87(6). 1643–1648. 24 indexed citations
19.
Takeda, Makoto, Shinji Ohno, Fumio Seki, et al.. (2004). Efficient rescue of measles virus from cloned cDNA using SLAM-expressing Chinese hamster ovary cells. Virus Research. 108(1-2). 161–165. 30 indexed citations
20.
Fukasawa, Takaharu, et al.. (1998). A flower-shaped cannula for three-incision laparoscopic cholecystectomy. Surgical Endoscopy. 12(2). 179–180. 7 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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