Teiji Wada

15.4k total citations · 6 hit papers
45 papers, 9.1k citations indexed

About

Teiji Wada is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Teiji Wada has authored 45 papers receiving a total of 9.1k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 10 papers in Oncology and 10 papers in Immunology. Recurrent topics in Teiji Wada's work include Melanoma and MAPK Pathways (10 papers), NF-κB Signaling Pathways (8 papers) and CAR-T cell therapy research (5 papers). Teiji Wada is often cited by papers focused on Melanoma and MAPK Pathways (10 papers), NF-κB Signaling Pathways (8 papers) and CAR-T cell therapy research (5 papers). Teiji Wada collaborates with scholars based in Japan, Austria and Canada. Teiji Wada's co-authors include Josef Penninger, Tomoki Nakashima, Hiroshi Nishina, Renu Sarao, Michael A. Crackower, Chi-chung Hui, Yi Huan, Chengyu Jiang, Howard Leong‐Poi and Bin Guan and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Teiji Wada

44 papers receiving 9.0k citations

Hit Papers

Angiotensin-converting enzyme 2 protects from severe acut... 2002 2026 2010 2018 2005 2004 2005 2006 2002 500 1000 1.5k
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.

  1. Angiotensin-converting enzyme 2 protects from severe acute lung failure
    2005 1.8k citations Renu Sarao, Teiji Wada et al. Nature profile →
  2. Mitogen-activated protein kinases in apoptosis regulation
    2004 1.3k citations Teiji Wada, Josef Penninger profile →
  3. RANKL–RANK signaling in osteoclastogenesis and bone disease
    2005 946 citations Teiji Wada, Tomoki Nakashima et al. Trends in Molecular Medicine profile →
  4. Electrical signals control wound healing through phosphatidylinositol-3-OH kinase-γ and PTEN
    2006 887 citations Min Zhao, Bing Song et al. Nature profile →
  5. Severe impairment of interleukin-1 and Toll-like receptor signalling in mice lacking IRAK-4
    2002 650 citations Nobutaka Suzuki, Shinobu Suzuki et al. Nature profile →
  6. Regulation of cancer cell migration and bone metastasis by RANKL
    2006 601 citations Tomoki Nakashima, I. Kozieradzki et al. Nature profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Teiji Wada Japan 32 4.6k 2.0k 1.9k 1.3k 1.2k 45 9.1k
Masashi Narazaki Japan 44 4.1k 0.9× 4.9k 2.4× 5.0k 2.7× 1.4k 1.0× 1.1k 0.9× 92 14.2k
Michael J. Anderson United States 34 6.0k 1.3× 1.3k 0.6× 862 0.5× 663 0.5× 1.1k 0.9× 91 10.3k
Masaaki Murakami Japan 49 3.3k 0.7× 3.6k 1.8× 5.5k 3.0× 742 0.6× 899 0.7× 221 12.8k
Mercedes Rincón United States 65 5.2k 1.1× 2.8k 1.4× 5.9k 3.2× 825 0.6× 1.6k 1.3× 161 14.1k
Luca Battistini Italy 60 3.4k 0.7× 1.5k 0.7× 5.0k 2.7× 433 0.3× 957 0.8× 157 11.4k
Douglas V. Faller United States 57 7.3k 1.6× 2.5k 1.2× 2.2k 1.2× 349 0.3× 1.8k 1.5× 277 13.6k
Tadashi Matsuda Japan 52 5.0k 1.1× 4.8k 2.4× 5.2k 2.8× 475 0.4× 1.4k 1.2× 276 14.6k
Martin Steinhoff United States 77 3.0k 0.7× 1.4k 0.7× 3.1k 1.7× 360 0.3× 1.3k 1.0× 280 20.5k
Hidehiko Saito Japan 67 6.9k 1.5× 2.3k 1.1× 1.9k 1.0× 342 0.3× 1.2k 1.0× 484 18.5k
Xiao Yang China 67 10.1k 2.2× 2.2k 1.1× 1.5k 0.8× 500 0.4× 3.0k 2.4× 314 15.0k

Countries citing papers authored by Teiji Wada

Since Specialization
Citations

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

Fields of papers citing papers by Teiji Wada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Teiji Wada

This figure shows the co-authorship network connecting the top 25 collaborators of Teiji Wada. A scholar is included among the top collaborators of Teiji Wada 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 Teiji Wada. Teiji Wada 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.
Sugihara, Kiyoshi, et al.. (2019). [Fam-] trastuzumab deruxtecan (DS-8201a)-induced antitumor immunity is facilitated by the anti–CTLA-4 antibody in a mouse model. PLoS ONE. 14(10). e0222280–e0222280. 32 indexed citations
2.
Ishii, Chiaki, et al.. (2018). A HER2-Targeting Antibody–Drug Conjugate, Trastuzumab Deruxtecan (DS-8201a), Enhances Antitumor Immunity in a Mouse Model. Molecular Cancer Therapeutics. 17(7). 1494–1503. 202 indexed citations
3.
Hasegawa, Jun, Junya Ichikawa, Saori Ishida, et al.. (2016). Novel anti-EPHA2 antibody, DS-8895a for cancer treatment. Cancer Biology & Therapy. 17(11). 1158–1167. 33 indexed citations
4.
Schramek, Daniel, Athanassios Kotsinas, Arabella Meixner, et al.. (2011). The stress kinase MKK7 couples oncogenic stress to p53 stability and tumor suppression. Nature Genetics. 43(3). 212–219. 76 indexed citations
5.
Amagai, Yosuke, Mitsunobu Matsumoto, Kanji Hojo, et al.. (2010). Combination Therapy of Interleukin-2 and Sorafenib Improves Survival Benefits and Prevents Spontaneous Pulmonary Metastasis in Murine Renal Cell Carcinoma Models. Japanese Journal of Clinical Oncology. 40(6). 503–507. 6 indexed citations
6.
Iguchi, Moritake, Mitsunobu Matsumoto, Kanji Hojo, et al.. (2009). Antitumor Efficacy of Recombinant Human Interleukin-2 Combined with Sorafenib Against Mouse Renal Cell Carcinoma. Japanese Journal of Clinical Oncology. 39(5). 303–309. 6 indexed citations
7.
Wada, Teiji, Ewa Stępniak-Konieczna, Lijian Hui, et al.. (2007). Antagonistic control of cell fates by JNK and p38-MAPK signaling. Cell Death and Differentiation. 15(1). 89–93. 68 indexed citations
8.
Wada, Teiji, Jody J. Haigh, Masatsugu Ema, et al.. (2006). Vascular Endothelial Growth Factor Directly Inhibits Primitive Neural Stem Cell Survival But Promotes Definitive Neural Stem Cell Survival. Journal of Neuroscience. 26(25). 6803–6812. 79 indexed citations
9.
Kitagawa, Daiju, Hiroaki Kajiho, T Negishi, et al.. (2006). Release of RASSF1C from the nucleus by Daxx degradation links DNA damage and SAPK/JNK activation. The EMBO Journal. 25(14). 3286–3297. 54 indexed citations
10.
Zhao, Min, Bing Song, Jin Pu, et al.. (2006). Electrical signals control wound healing through phosphatidylinositol-3-OH kinase-γ and PTEN. Nature. 442(7101). 457–460. 887 indexed citations breakdown →
11.
Wada, Teiji, Tomoki Nakashima, Hiroshi Nishina, & Josef Penninger. (2005). RANKL–RANK signaling in osteoclastogenesis and bone disease. Trends in Molecular Medicine. 12(1). 17–25. 946 indexed citations breakdown →
12.
Jeon, Myung-Shin, K. Venuprasad, Connie M. Krawczyk, et al.. (2004). Essential Role of the E3 Ubiquitin Ligase Cbl-b in T Cell Anergy Induction. Immunity. 21(2). 167–177. 276 indexed citations
13.
Wada, Teiji, Nicholas Joza, Hai‐Ying Mary Cheng, et al.. (2004). MKK7 couples stress signalling to G2/M cell-cycle progression and cellular senescence. Nature Cell Biology. 6(3). 215–226. 120 indexed citations
14.
Suzuki, Nobutaka, Shinobu Suzuki, Urs Eriksson, et al.. (2003). IL-1R-Associated Kinase 4 Is Required for Lipopolysaccharide- Induced Activation of APC. The Journal of Immunology. 171(11). 6065–6071. 36 indexed citations
15.
Kishimoto, Hiroyuki, Kentaro Nakagawa, Tomomi Watanabe‐Asaka, et al.. (2003). Different Properties of SEK1 and MKK7 in Dual Phosphorylation of Stress-induced Activated Protein Kinase SAPK/JNK in Embryonic Stem Cells. Journal of Biological Chemistry. 278(19). 16595–16601. 58 indexed citations
16.
Hara, Hiromitsu, Teiji Wada, Chris Bakal, et al.. (2003). The MAGUK Family Protein CARD11 Is Essential for Lymphocyte Activation. Immunity. 18(6). 763–775. 277 indexed citations
17.
Kitagawa, Daiju, Shinya Ohata, Nao Shimizu, et al.. (2002). Activation of Extracellular Signal-regulated Kinase by Ultraviolet Is Mediated through Src-dependent Epidermal Growth Factor Receptor Phosphorylation. Journal of Biological Chemistry. 277(1). 366–371. 123 indexed citations
18.
Wada, Teiji, Kentaro Nakagawa, Tomomi Watanabe‐Asaka, et al.. (2001). Impaired Synergistic Activation of Stress-activated Protein Kinase SAPK/JNK in Mouse Embryonic Stem Cells Lacking SEK1/MKK4. Journal of Biological Chemistry. 276(33). 30892–30897. 56 indexed citations
19.
Wada, Teiji, Yutaka Hasegawa, & Hideki Ono. (1997). Characterization of α1-adrenoceptor subtypes in facilitation of rat spinal motoneuron activity. European Journal of Pharmacology. 340(1). 45–52. 37 indexed citations
20.
Wada, Teiji, et al.. (1996). Characterization of α1-adrenoceptor subtypes in rat spinal cord. European Journal of Pharmacology. 312(2). 263–266. 34 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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