Hideaki Manome

706 total citations
11 papers, 605 citations indexed

About

Hideaki Manome is a scholar working on Immunology, Molecular Biology and Organic Chemistry. According to data from OpenAlex, Hideaki Manome has authored 11 papers receiving a total of 605 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Immunology, 2 papers in Molecular Biology and 1 paper in Organic Chemistry. Recurrent topics in Hideaki Manome's work include Immunotherapy and Immune Responses (9 papers), T-cell and B-cell Immunology (8 papers) and Immune Response and Inflammation (4 papers). Hideaki Manome is often cited by papers focused on Immunotherapy and Immune Responses (9 papers), T-cell and B-cell Immunology (8 papers) and Immune Response and Inflammation (4 papers). Hideaki Manome collaborates with scholars based in Japan and India. Hideaki Manome's co-authors include Setsuya Aiba, Hachiro Tagami, Hachiro Tagami, Zia U.A. Mollah, Tomoyuki Ohtani, Masato Mizuashi, Satoshi Nakagawa, Yuki Yoshino, Siddharth Singh and Sanjay Kumar and has published in prestigious journals such as European Journal of Immunology, Journal of Investigative Dermatology and Immunology.

In The Last Decade

Hideaki Manome

11 papers receiving 599 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hideaki Manome Japan 10 385 296 144 82 62 11 605
Josette Bénetière France 8 245 0.6× 297 1.0× 161 1.1× 42 0.5× 34 0.5× 8 505
Hitoshi Akiba Japan 9 228 0.6× 201 0.7× 101 0.7× 44 0.5× 22 0.4× 13 413
Juan Antonio Ratón Spain 11 93 0.2× 139 0.5× 38 0.3× 49 0.6× 15 0.2× 36 347
Hendrik Reuter Germany 9 36 0.1× 106 0.4× 41 0.3× 110 1.3× 39 0.6× 16 295
Maria Quaranta Italy 9 247 0.6× 221 0.7× 64 0.4× 82 1.0× 12 0.2× 16 479
M Mattii Italy 10 278 0.7× 356 1.2× 67 0.5× 72 0.9× 9 0.1× 13 528
Timothy P. Kingston United Kingdom 10 76 0.2× 123 0.4× 20 0.1× 99 1.2× 16 0.3× 21 282
J.-M. Geiger Switzerland 17 453 1.2× 358 1.2× 20 0.1× 417 5.1× 111 1.8× 30 823
Mary Carol Conroy United States 13 222 0.6× 27 0.1× 156 1.1× 138 1.7× 10 0.2× 20 514
John Lue United States 11 202 0.5× 209 0.7× 39 0.3× 118 1.4× 98 1.6× 16 481

Countries citing papers authored by Hideaki Manome

Since Specialization
Citations

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

Fields of papers citing papers by Hideaki Manome

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hideaki Manome

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

All Works

11 of 11 papers shown
2.
Hara, Masahiro, et al.. (2003). Communication network in the follicular papilla and connective tissue sheath through gap junctions in human hair follicles. Experimental Dermatology. 12(3). 283–288. 13 indexed citations
3.
Aiba, Setsuya, Hideaki Manome, Satoshi Nakagawa, et al.. (2003). p38 Mitogen-activated Protein Kinase and Extracellular Signal-regulated Kinases Play Distinct Roles in the Activation of Dendritic Cells by Two Representative Haptens, NiCl2 and 2,4-dinitrochlorobenzene. Journal of Investigative Dermatology. 120(3). 390–399. 136 indexed citations
5.
Mollah, Zia U.A., et al.. (2002). Cord Blood CD34+ Cells Differentiate into Dermal Dendritic Cells in Co-Culture with Cutaneous Fibroblasts or Stromal Cells. Journal of Investigative Dermatology. 118(3). 450–460. 17 indexed citations
6.
Manome, Hideaki, et al.. (2000). Dexamethasone and Cyclosporin A Affect the Maturation of Monocyte-Derived Dendritic Cells Differently. International Archives of Allergy and Immunology. 122(1). 76–84. 19 indexed citations
8.
Singh, Siddharth, Setsuya Aiba, Hideaki Manome, & Hachiro Tagami. (1999). The effects of dexamethasone, cyclosporine, and vitamin D 3 on the activation of dendritic cells stimulated by haptens. Archives of Dermatological Research. 291(10). 548–554. 20 indexed citations
9.
Manome, Hideaki, Setsuya Aiba, & Hachiro Tagami. (1999). Simple chemicals can induce maturation and apoptosis of dendritic cells. Immunology. 98(4). 481–490. 74 indexed citations
10.
Aiba, Setsuya, Hideaki Manome, & Hachiro Tagami. (1998). The induction of maturation and apoptosis of CD1A+ dendritic cells by haptens. Journal of Dermatological Science. 16. S92–S92. 1 indexed citations
11.
Manome, Hideaki, et al.. (1997). Dendritic cells differently respond to haptens and irritants by their production of cytokines and expression of co‐stimulatory molecules. European Journal of Immunology. 27(11). 3031–3038. 209 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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