Makio Hayakawa

7.0k total citations · 3 hit papers
42 papers, 6.1k citations indexed

About

Makio Hayakawa is a scholar working on Molecular Biology, Immunology and Cancer Research. According to data from OpenAlex, Makio Hayakawa has authored 42 papers receiving a total of 6.1k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 12 papers in Immunology and 10 papers in Cancer Research. Recurrent topics in Makio Hayakawa's work include Immune Response and Inflammation (8 papers), NF-κB Signaling Pathways (7 papers) and Protein Kinase Regulation and GTPase Signaling (5 papers). Makio Hayakawa is often cited by papers focused on Immune Response and Inflammation (8 papers), NF-κB Signaling Pathways (7 papers) and Protein Kinase Regulation and GTPase Signaling (5 papers). Makio Hayakawa collaborates with scholars based in Japan, United States and France. Makio Hayakawa's co-authors include Michael Karin, Ebrahim Zandi, David M. Rothwarf, Mireille Delhase, Joseph A. DiDonato, Yi Chen, Fumiaki Ito, Sayumi Shibamoto, Takamitsu Hori and Kenji Takeuchi and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Makio Hayakawa

42 papers receiving 6.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A cytokine-responsive IκB kinase that activates the transcription factor NF-κB

1997 1.9k citations Joseph A. DiDonato, Makio Hayakawa et al. Nature profile →
The IκB Kinase Complex (IKK) Contains Two Kinase Subunits, IKKα and IKKβ, Necessary for IκB Phosphorylation and NF-κB Activation

1997 1.6k citations Ebrahim Zandi, David M. Rothwarf et al. Cell profile →
Positive and Negative Regulation of IκB Kinase Activity Through IKKβ Subunit Phosphorylation

1999 738 citations Mireille Delhase, Makio Hayakawa et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Makio Hayakawa Japan	22	3.3k	3.2k	2.7k	1.1k	344	42	6.1k
Bryant G. Darnay United States	40	4.5k 1.4×	2.9k 0.9×	2.4k 0.9×	1.7k 1.5×	474 1.4×	65	6.9k
Mireille Delhase United States	20	3.2k 1.0×	4.2k 1.3×	3.6k 1.3×	1.5k 1.4×	507 1.5×	26	7.0k
Patricia C. Cogswell United States	27	2.7k 0.8×	1.9k 0.6×	2.1k 0.8×	1.3k 1.2×	387 1.1×	33	5.1k
Anthony M. Manning United States	29	4.6k 1.4×	3.1k 1.0×	2.8k 1.0×	1.8k 1.6×	571 1.7×	55	8.6k
Véronique Baud France	30	2.8k 0.8×	2.4k 0.8×	2.3k 0.9×	1.3k 1.2×	470 1.4×	59	5.7k
Alain Chariot Belgium	43	4.1k 1.2×	2.0k 0.6×	1.8k 0.7×	1.4k 1.2×	442 1.3×	96	7.1k
Brydon L. Bennett United States	35	4.5k 1.4×	3.1k 1.0×	3.0k 1.1×	1.8k 1.7×	648 1.9×	62	8.8k
Shigeki Miyamoto United States	42	5.1k 1.6×	3.9k 1.2×	3.0k 1.1×	2.1k 2.0×	427 1.2×	157	8.8k
Stéphane Plaisance Belgium	28	2.8k 0.9×	1.5k 0.5×	2.1k 0.8×	1.2k 1.1×	260 0.8×	48	5.9k
Yixue Cao United States	13	2.8k 0.9×	2.9k 0.9×	2.2k 0.8×	1.6k 1.5×	255 0.7×	13	5.5k

Countries citing papers authored by Makio Hayakawa

Since Specialization

Citations

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

Fields of papers citing papers by Makio Hayakawa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Makio Hayakawa

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

All Works

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20 of 20 papers shown

Kuroda, Minpei, Satoshi Kubo, Yukiko Matsuo, et al.. (2013). New Cardenolide Glycosides from the Seeds ofDigitalis purpureaand Their Cytotoxic Activity. Bioscience Biotechnology and Biochemistry. 77(6). 1186–1192. 12 indexed citations

Ando, Ken, Tomofumi Fujino, Kiyomi Kikugawa, et al.. (2010). Human lactoferrin activates NF‐κB through the Toll‐like receptor 4 pathway while it interferes with the lipopolysaccharide‐stimulated TLR4 signaling. FEBS Journal. 277(9). 2051–2066. 101 indexed citations

Oshima, Toshiyuki, Tomofumi Fujino, Ken Ando, & Makio Hayakawa. (2010). Proline-Rich Domain Plays a Crucial Role in Extracellular Stimuli-Responsive Translocation of a Cdc42 Guanine Nucleotide Exchange Factor, FGD1. Biological and Pharmaceutical Bulletin. 33(1). 35–39. 9 indexed citations

Fujino, Tomofumi, Kaori Murakami, Takashi Sato, et al.. (2009). Hypoxia downregulates farnesoid X receptor via a hypoxia‐inducible factor‐independent but p38 mitogen‐activated protein kinase‐dependent pathway. FEBS Journal. 276(5). 1319–1332. 19 indexed citations

Hayakawa, Makio, Toshiyuki Oshima, Tomofumi Fujino, et al.. (2008). Novel insights into FGD3, a putative GEF for Cdc42, that undergoes SCF^{FWD1/β‐TrCP}‐mediated proteasomal degradation analogous to that of its homologue FGD1 but regulates cell morphology and motility differently from FGD1. Genes to Cells. 13(4). 329–342. 44 indexed citations

Hayakawa, Makio, Hideo Kitagawa, Keiji Miyazawa, Masatoshi Kitagawa, & Kiyomi Kikugawa. (2005). The FWD1/β‐TrCP‐mediated degradation pathway establishes a ‘turning off switch’ of a Cdc42 guanine nucleotide exchange factor, FGD1. Genes to Cells. 10(3). 241–251. 24 indexed citations

Hayakawa, Makio. (2003). Evidence that reactive oxygen species do not mediate NF- B activation. The EMBO Journal. 22(13). 3356–3366. 354 indexed citations

DiDonato, Joseph A., Makio Hayakawa, David M. Rothwarf, Ebrahim Zandi, & Michael Karin. (1997). A cytokine-responsive IκB kinase that activates the transcription factor NF-κB. Nature. 388(6642). 548–554. 1880 indexed citations breakdown →

Zandi, Ebrahim, David M. Rothwarf, Mireille Delhase, Makio Hayakawa, & Michael Karin. (1997). The IκB Kinase Complex (IKK) Contains Two Kinase Subunits, IKKα and IKKβ, Necessary for IκB Phosphorylation and NF-κB Activation. Cell. 91(2). 243–252. 1604 indexed citations breakdown →

10.

Hayakawa, Makio, Supriya Jayadev, Masafumi Tsujimoto, Yusuf A. Hannun, & Fumiaki Ito. (1996). Role of Ceramide in Stimulation of the Transcription of Cytosolic Phospholipase A2and Cyclooxygenase 2. Biochemical and Biophysical Research Communications. 220(3). 681–686. 72 indexed citations

11.

Shibamoto, Sayumi, Makio Hayakawa, Takamitsu Hori, et al.. (1992). Hepatocyte Growth Factor and Transforming Growth Factor-.BETA. Stimulate both Cell Growth and Migration of Human Gastric Adenocarcinoma Cells.. Cell Structure and Function. 17(3). 185–190. 32 indexed citations

12.

Hayakawa, Makio, Takamitsu Hori, Sayumi Shibamoto, et al.. (1991). Solubilization of human placental tumor necrosis factor receptors as a complex with a guanine nucleotide-binding protein. Archives of Biochemistry and Biophysics. 286(2). 323–329. 14 indexed citations

13.

Hori, Takamitsu, Makio Hayakawa, Sayumi Shibamoto, et al.. (1991). Prostaglandins antagonize fibroblast proliferation stimulated by tumor necrosis factor. Biochemical and Biophysical Research Communications. 174(2). 758–766. 26 indexed citations

14.

Shibamoto, Sayumi, Takamitsu Hori, Makio Hayakawa, et al.. (1990). Inhibitory effect of local anesthetics on Na+/H+ antiporter in brush border membrane-reconstituted vesicles. Life Sciences. 47(13). 1129–1133. 7 indexed citations

15.

Mizushima, Hiroshi, Kazuhiko Horigome, Makoto Murakami, et al.. (1989). Purification of Rabbit Platelet Secretory Phospholipase A2 and Its Characteristics1. The Journal of Biochemistry. 105(4). 520–525. 76 indexed citations

16.

Shibamoto, Sayumi, et al.. (1988). Reconstitution of the Na+/H+ antiporter: A new method for the determination of H+ efflux from Na+/H+ antiporter-reconstituted vesicles.. Journal of Pharmacobio-Dynamics. 11(10). 669–673. 1 indexed citations

17.

Hayakawa, Makio, Ichiro Kudo, Motowo Tomita, Shoshichi Nojima, & Keizo Inoue. (1988). The Primary Structure of Rat Platelet Phospholipase A21. The Journal of Biochemistry. 104(5). 767–772. 75 indexed citations

18.

Hayakawa, Makio, Kazuhiko Horigome, Ichiro Kudo, et al.. (1987). Amino Acid Composition and NH2-Terminal Amino Acid Sequence of Rat Platelet Secretory Phospholipase A21. The Journal of Biochemistry. 101(5). 1311–1314. 37 indexed citations

19.

Horigome, Kazuhiko, Makio Hayakawa, Keizo Inoue, & Shoshichi Nojima. (1987). Selective Release of Phospholipase A2 and Lysophosphatidylserine- Specific Lysophospholipase from Rat Platelets1. The Journal of Biochemistry. 101(1). 53–61. 79 indexed citations

20.

Hayakawa, Makio, et al.. (1985). [Heterogeneity of a KU-2 cell line derived from human renal cell carcinoma--differential susceptibilities of its sublines to NK cell-mediated cytotoxicity].. PubMed. 31(5). 763–8. 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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