Atsuo Nakajima

2.4k total citations
34 papers, 1.8k citations indexed

About

Atsuo Nakajima is a scholar working on Immunology, Rheumatology and Oncology. According to data from OpenAlex, Atsuo Nakajima has authored 34 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Immunology, 13 papers in Rheumatology and 8 papers in Oncology. Recurrent topics in Atsuo Nakajima's work include Immunotherapy and Immune Responses (11 papers), T-cell and B-cell Immunology (10 papers) and Rheumatoid Arthritis Research and Therapies (9 papers). Atsuo Nakajima is often cited by papers focused on Immunotherapy and Immune Responses (11 papers), T-cell and B-cell Immunology (10 papers) and Rheumatoid Arthritis Research and Therapies (9 papers). Atsuo Nakajima collaborates with scholars based in Japan, United States and South Korea. Atsuo Nakajima's co-authors include Hideo Yagita∥, Ko Okumura, Shinichi Yoshino, Hisaya Akiba, Christopher H. Contag, Chiyoko Nohara, Hideo Oshima, Miyuki Azuma, Gina L. Costa and Cariel Taylor-Edwards and has published in prestigious journals such as Journal of Clinical Investigation, The Journal of Immunology and Biochemical and Biophysical Research Communications.

In The Last Decade

Atsuo Nakajima

34 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Atsuo Nakajima Japan 19 1.1k 445 407 383 219 34 1.8k
Shuji Sumitomo Japan 23 804 0.8× 339 0.8× 399 1.0× 392 1.0× 110 0.5× 70 1.7k
Anne H. Cutler United States 11 1.3k 1.2× 172 0.4× 445 1.1× 188 0.5× 248 1.1× 11 1.9k
José A. Brieva Spain 24 1.0k 0.9× 187 0.4× 194 0.5× 348 0.9× 104 0.5× 45 1.6k
Makoto Inaoki Japan 16 900 0.8× 202 0.5× 289 0.7× 348 0.9× 85 0.4× 41 1.6k
C Plater-Zyberk United Kingdom 24 1.1k 1.1× 422 0.9× 571 1.4× 465 1.2× 105 0.5× 46 2.0k
Liliane Fossati‐Jimack United Kingdom 27 1.6k 1.5× 169 0.4× 444 1.1× 448 1.2× 112 0.5× 65 2.1k
Mariella Parenza Italy 21 1.4k 1.4× 758 1.7× 144 0.4× 757 2.0× 339 1.5× 27 2.2k
Nicole Amft United Kingdom 14 596 0.6× 407 0.9× 407 1.0× 201 0.5× 75 0.3× 26 1.3k
Sharlene Adams United States 16 998 0.9× 747 1.7× 492 1.2× 525 1.4× 75 0.3× 44 2.0k
Jill Giles‐Komar United States 17 632 0.6× 164 0.4× 141 0.3× 349 0.9× 211 1.0× 30 1.3k

Countries citing papers authored by Atsuo Nakajima

Since Specialization
Citations

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

Fields of papers citing papers by Atsuo Nakajima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Atsuo Nakajima

This figure shows the co-authorship network connecting the top 25 collaborators of Atsuo Nakajima. A scholar is included among the top collaborators of Atsuo Nakajima 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 Atsuo Nakajima. Atsuo Nakajima 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.
Okamoto, Nami, Tatsuya Atsumi, Michiaki Takagi, et al.. (2024). Safety of baricitinib in Japanese patients with rheumatoid arthritis in clinical use: 3-year data of all-case postmarketing surveillance study. Modern Rheumatology. 35(2). 215–224. 6 indexed citations
2.
Takagi, Michiaki, Tatsuya Atsumi, Hiroaki Matsuno, et al.. (2022). Safety and effectiveness of baricitinib for rheumatoid arthritis in Japanese clinical practice: 24-week results of all-case post-marketing surveillance. Modern Rheumatology. 33(4). 647–656. 17 indexed citations
3.
4.
Taniguchi, Hiroko, Mingcong Wang, Atsuo Nakajima, & Junko Hori. (2012). Ocular Immune Pathological Analysis in a Murine Model of Anterior Scleritis. Investigative Ophthalmology & Visual Science. 53(14). 6246–6246. 1 indexed citations
5.
Nanki, Toshihiro, Kazuki Takada, Yukiko Komano, et al.. (2009). Chemokine receptor expression and functional effects of chemokines on B cells: implication in the pathogenesis of rheumatoid arthritis. Arthritis Research & Therapy. 11(5). R149–R149. 100 indexed citations
6.
7.
Jin, Enjing, Mohammad Ghazizadeh, Atsuo Nakajima, et al.. (2008). Induction of Pulmonary Thromboembolism by Neutrophil Elastase in Collagen-Induced Arthritis Mice and Effect of Recombinant Human Soluble Thrombomodulin. Pathobiology. 75(5). 295–305. 6 indexed citations
8.
9.
Kamijo, Seiji, Atsuo Nakajima, Akemi Koyanagi, et al.. (2006). Involvement of TNF-Like Weak Inducer of Apoptosis in the Pathogenesis of Collagen-Induced Arthritis. The Journal of Immunology. 177(9). 6433–6439. 79 indexed citations
10.
Nakajima, Atsuo, et al.. (2006). Visualization of Antigen-specific T Cell in Living Arthritic Mice. Journal of Nippon Medical School. 73(6). 298–299. 1 indexed citations
11.
Nakamura, Ichiro, Katsumi Ito, Hidekazu Tanaka, et al.. (2006). Modeling and cost-effectiveness analysis of etanercept in adults with rheumatoid arthritis in Japan: a preliminary analysis. Modern Rheumatology. 16(2). 77–84. 36 indexed citations
12.
Nakajima, Atsuo. (2006). Application of cellular gene therapy for rheumatoid arthritis. Modern Rheumatology. 16(5). 269–275. 15 indexed citations
13.
Tarner, Ingo H., Atsuo Nakajima, Christine M. Seroogy, et al.. (2002). Retroviral Gene Therapy of Collagen-Induced Arthritis by Local Delivery of IL-4. Clinical Immunology. 105(3). 304–314. 38 indexed citations
14.
Costa, Gina L., Atsuo Nakajima, Cariel Taylor-Edwards, et al.. (2001). Adoptive Immunotherapy of Experimental Autoimmune Encephalomyelitis Via T Cell Delivery of the IL-12 p40 Subunit. The Journal of Immunology. 167(4). 2379–2387. 145 indexed citations
15.
Nakajima, Atsuo, Christine M. Seroogy, Ingo H. Tarner, et al.. (2001). Antigen-specific T cell–mediated gene therapy in collagen-induced arthritis. Journal of Clinical Investigation. 107(10). 1293–1301. 154 indexed citations
16.
Nohara, Chiyoko, Hisaya Akiba, Atsuo Nakajima, et al.. (2001). Amelioration of Experimental Autoimmune Encephalomyelitis with Anti-OX40 Ligand Monoclonal Antibody: A Critical Role for OX40 Ligand in Migration, But Not Development, of Pathogenic T Cells. The Journal of Immunology. 166(3). 2108–2115. 100 indexed citations
17.
Nakajima, Atsuo, et al.. (2000). Treatment of Lupus in NZB/W F1 Mice with Monoclonal Antibody Against Fas Ligand. Journal of Autoimmunity. 14(2). 151–157. 13 indexed citations
18.
Suzuki, Norihiro, et al.. (1999). Selective accumulation of CCR5+ T lymphocytes into inflamed joints of rheumatoid arthritis. International Immunology. 11(4). 553–559. 125 indexed citations
19.
Nakajima, Atsuo, Tomohiro Kodama, Shinji Morimoto, et al.. (1998). Antitumor Effect of CD40 Ligand: Elicitation of Local and Systemic Antitumor Responses by IL-12 and B7. The Journal of Immunology. 161(4). 1901–1907. 82 indexed citations
20.
Nakajima, Michiko, Atsuo Nakajima, Nobuhiko Kayagaki, et al.. (1997). Expression of Fas Ligand and Its Receptor in Cutaneous Lupus: Implication in Tissue Injury. Clinical Immunology and Immunopathology. 83(3). 223–229. 50 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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