Akiko Shigeta

733 total citations
29 papers, 562 citations indexed

About

Akiko Shigeta is a scholar working on Immunology, Surgery and Immunology and Allergy. According to data from OpenAlex, Akiko Shigeta has authored 29 papers receiving a total of 562 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Immunology, 6 papers in Surgery and 5 papers in Immunology and Allergy. Recurrent topics in Akiko Shigeta's work include Immune Cell Function and Interaction (6 papers), Cell Adhesion Molecules Research (5 papers) and Chemokine receptors and signaling (3 papers). Akiko Shigeta is often cited by papers focused on Immune Cell Function and Interaction (6 papers), Cell Adhesion Molecules Research (5 papers) and Chemokine receptors and signaling (3 papers). Akiko Shigeta collaborates with scholars based in Japan, Pakistan and United States. Akiko Shigeta's co-authors include Takako Hirata, Masayuki Miyasaka, Masanori Matsumoto, Arimi Harasawa, Hiroko Hara, A Kohno, Eiji Umemoto, Masanori Matsumoto, Osamu Yoshie and Takashi Nakayama and has published in prestigious journals such as Blood, The Journal of Immunology and Radiology.

In The Last Decade

Akiko Shigeta

29 papers receiving 551 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Akiko Shigeta Japan 14 254 137 126 105 96 29 562
Keri Csencsits‐Smith United States 17 383 1.5× 54 0.4× 69 0.5× 57 0.5× 135 1.4× 26 686
Kevin M. Hart United States 12 502 2.0× 110 0.8× 138 1.1× 43 0.4× 149 1.6× 13 869
Aleida M. Bakker Netherlands 15 714 2.8× 122 0.9× 86 0.7× 62 0.6× 200 2.1× 20 1.2k
Martina Protschka Germany 13 461 1.8× 136 1.0× 60 0.5× 65 0.6× 172 1.8× 26 869
Michelle L. McCully Canada 11 489 1.9× 146 1.1× 50 0.4× 52 0.5× 95 1.0× 21 699
Kouji Tominaga Japan 4 417 1.6× 52 0.4× 69 0.5× 92 0.9× 216 2.3× 8 668
Yanchun Zhou China 11 345 1.4× 74 0.5× 134 1.1× 25 0.2× 222 2.3× 19 705
Miho Odaka Japan 14 387 1.5× 79 0.6× 72 0.6× 44 0.4× 103 1.1× 18 639
Nancy Van Houten United States 13 558 2.2× 69 0.5× 178 1.4× 31 0.3× 130 1.4× 19 773
Thomas Schall United Kingdom 6 440 1.7× 349 2.5× 42 0.3× 81 0.8× 61 0.6× 8 703

Countries citing papers authored by Akiko Shigeta

Since Specialization
Citations

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

Fields of papers citing papers by Akiko Shigeta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akiko Shigeta

This figure shows the co-authorship network connecting the top 25 collaborators of Akiko Shigeta. A scholar is included among the top collaborators of Akiko Shigeta 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 Akiko Shigeta. Akiko Shigeta 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.
Matsuo, Kazuhiko, Daisuke Nagakubo, Shinya Yamamoto, et al.. (2017). CCL28-Deficient Mice Have Reduced IgA Antibody–Secreting Cells and an Altered Microbiota in the Colon. The Journal of Immunology. 200(2). 800–809. 31 indexed citations
2.
Hieshima, Kunio, Daisuke Nagakubo, Akiko Shigeta, et al.. (2011). c‐Maf suppresses human T‐cell leukemia virus type 1 Tax by competing for CREB‐binding protein. Cancer Science. 102(4). 890–894. 4 indexed citations
3.
Jin, Zhe, Daisuke Nagakubo, Aiko‐Konno Shirakawa, et al.. (2009). CXCR7 is inducible by HTLV‐1 Tax and promotes growth and survival of HTLV‐1‐infected T cells. International Journal of Cancer. 125(9). 2229–2235. 18 indexed citations
4.
Shigeta, Akiko, Masanori Matsumoto, Thomas F. Tedder, et al.. (2008). An L-selectin ligand distinct from P-selectin glycoprotein ligand-1 is expressed on endothelial cells and promotes neutrophil rolling in inflammation. Blood. 112(13). 4915–4923. 23 indexed citations
5.
Matsumoto, Masanori, Akiko Shigeta, Masayuki Miyasaka, & Takako Hirata. (2008). CD43 Plays Both Antiadhesive and Proadhesive Roles in Neutrophil Rolling in a Context-Dependent Manner. The Journal of Immunology. 181(5). 3628–3635. 24 indexed citations
6.
Matsumoto, Masanori, et al.. (2007). CD43 Collaborates with P-Selectin Glycoprotein Ligand-1 to Mediate E-Selectin-Dependent T Cell Migration into Inflamed Skin. The Journal of Immunology. 178(4). 2499–2506. 53 indexed citations
7.
Harakawa, Nari, Akiko Shigeta, Masaki Wato, et al.. (2007). P-selectin glycoprotein ligand-1 mediates L-selectin-independent leukocyte rolling in high endothelial venules of peripheral lymph nodes. International Immunology. 19(3). 321–329. 14 indexed citations
8.
Matsumoto, Masanori, et al.. (2005). CD43 Functions as a Ligand for E-Selectin on Activated T Cells. The Journal of Immunology. 175(12). 8042–8050. 96 indexed citations
9.
Shigeta, Akiko, et al.. (2004). Genomic Organization of the Chicken T-Cell Receptor .BETA. Chain D-J-C Region. Journal of Veterinary Medical Science. 66(12). 1509–1515. 10 indexed citations
10.
Horiuchi, Hiroyuki, Kazuya Tanaka, Akiko Shigeta, et al.. (2004). A Monoclonal Antibody against Chicken Thrombocytes Reacts with the Cells of Thrombocyte Lineage. Journal of Veterinary Medical Science. 66(3). 243–250. 10 indexed citations
11.
Fujita, Masanori, et al.. (2003). Flow Cytometoric Analysis of Chicken NK Activity and Its Use on the Effect of Restraint Stress. Journal of Veterinary Medical Science. 65(9). 995–1000. 16 indexed citations
12.
Shigeta, Akiko, et al.. (2002). Epidemiological correlation between chromium content in gallstones and cholesterol in blood.. PubMed. 85(2). 183–94. 3 indexed citations
13.
Hitosugi, Masahito, et al.. (1997). [Analysis of sudden death caused by intestinal obstruction].. PubMed. 51(6). 423–9. 2 indexed citations
14.
Maruyama, Kentaro, et al.. (1996). [Methamphetamine-like substance detected only in stomach contents from autopsied cadavers].. PubMed. 50(3). 168–73. 1 indexed citations
15.
Harasawa, Arimi, et al.. (1994). Ultrasonographic features of recurrent parotitis in childhood. Pediatric Radiology. 24(2). 98–100. 40 indexed citations
16.
Shigeta, Akiko, et al.. (1990). [Scanning electron microscopic study of rat lungs in experimental chronic paraquat poisoning].. PubMed. 44(4). 302–13. 3 indexed citations
17.
Harasawa, Arimi, et al.. (1990). [A case of tuberculous arthritis of shoulder].. PubMed. 35(11). 1455–7. 2 indexed citations
18.
Kohno, Atsushi, Yasuo Ohkubo, Eriko Takahashi, et al.. (1990). Head and Neck Reconstruction with Pectoralis Major Myocutaneous Flap. Journal of Computer Assisted Tomography. 14(2). 286–290. 14 indexed citations
19.
Kusakabe, Kiyoko, et al.. (1987). Radioiodine therapy for pulmonary metastasis of differentiated thyroid cancer. 47(7). 962–970. 1 indexed citations
20.
Takada, Y, Y. Ohta, Shin-ichiro Kawasaki, et al.. (1987). [Radioiodide therapy in pulmonary metastasis of differentiated thyroid cancer--factors affecting the success of I-131 therapy].. PubMed. 47(7). 962–70. 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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