Nam H. Dang

10.3k total citations
194 papers, 7.6k citations indexed

About

Nam H. Dang is a scholar working on Oncology, Pathology and Forensic Medicine and Molecular Biology. According to data from OpenAlex, Nam H. Dang has authored 194 papers receiving a total of 7.6k indexed citations (citations by other indexed papers that have themselves been cited), including 130 papers in Oncology, 56 papers in Pathology and Forensic Medicine and 46 papers in Molecular Biology. Recurrent topics in Nam H. Dang's work include Peptidase Inhibition and Analysis (68 papers), Lymphoma Diagnosis and Treatment (51 papers) and Chronic Lymphocytic Leukemia Research (24 papers). Nam H. Dang is often cited by papers focused on Peptidase Inhibition and Analysis (68 papers), Lymphoma Diagnosis and Treatment (51 papers) and Chronic Lymphocytic Leukemia Research (24 papers). Nam H. Dang collaborates with scholars based in United States, Japan and United Kingdom. Nam H. Dang's co-authors include Chikao Morimoto, Kei Ohnuma, Yoshihiro Torimoto, Satoshi Iwata, Barbara Pro, S F Schlossman, Osamu Hosono, Stuart F. Schlossman, Felipe Samaniego and Jorge Romaguera and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Lancet and Journal of Biological Chemistry.

In The Last Decade

Nam H. Dang

192 papers receiving 7.5k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Nam H. Dang 4.2k 2.2k 1.9k 1.7k 1.2k 194 7.6k
Parkash S. Gill 3.2k 0.8× 3.2k 1.5× 1.4k 0.8× 1.2k 0.8× 1.1k 0.9× 165 8.2k
Ermanno Gherardi 2.1k 0.5× 6.4k 3.0× 944 0.5× 1.1k 0.7× 499 0.4× 108 11.6k
Jason Chesney 4.1k 1.0× 4.4k 2.0× 482 0.3× 4.1k 2.5× 773 0.6× 191 11.7k
Pier Giorgio Natali 3.1k 0.7× 5.3k 2.4× 537 0.3× 2.6k 1.6× 256 0.2× 260 11.3k
Fabien Calvo 2.3k 0.5× 3.3k 1.5× 484 0.3× 842 0.5× 215 0.2× 160 6.7k
Joseph Locker 3.0k 0.7× 3.6k 1.7× 1.2k 0.7× 619 0.4× 129 0.1× 176 8.4k
Todd Juan 3.1k 0.7× 1.7k 0.8× 1.1k 0.6× 845 0.5× 107 0.1× 47 5.7k
Ralph Schwall 2.7k 0.6× 6.1k 2.8× 396 0.2× 1.4k 0.8× 219 0.2× 85 10.2k
Emmett V. Schmidt 3.7k 0.9× 4.6k 2.1× 537 0.3× 1.7k 1.0× 175 0.1× 144 9.3k
Fei Huang 1.7k 0.4× 3.2k 1.5× 575 0.3× 452 0.3× 220 0.2× 190 6.5k

Countries citing papers authored by Nam H. Dang

Since Specialization
Citations

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

Fields of papers citing papers by Nam H. Dang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nam H. Dang. 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 Nam H. Dang. The network helps show where Nam H. Dang may publish in the future.

Co-authorship network of co-authors of Nam H. Dang

This figure shows the co-authorship network connecting the top 25 collaborators of Nam H. Dang. A scholar is included among the top collaborators of Nam H. Dang 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 Nam H. Dang. Nam H. Dang 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.
Hatano, Ryo, Hayato Nakamura, Ayako Yamamoto, et al.. (2024). An abnormal increase in CD26(−)CD28(−) cytotoxic effector CD4 and CD8 T cell populations in patients with systemic lupus erythematosus. International Immunology. 37(3). 153–172.
2.
Kobayashi, Eiji, Yusuke Kamihara, Akinori Wada, et al.. (2023). Development of a Novel CD26-Targeted Chimeric Antigen Receptor T-Cell Therapy for CD26-Expressing T-Cell Malignancies. Cells. 12(16). 2059–2059. 5 indexed citations
3.
Kikuchi, Shohei, Akinori Wada, Yusuke Kamihara, et al.. (2023). A Novel Mechanism for Bone Loss: Platelet Count Negatively Correlates with Bone Mineral Density via Megakaryocyte-Derived RANKL. International Journal of Molecular Sciences. 24(15). 12150–12150. 2 indexed citations
4.
Bui, Thi Minh Tu, et al.. (2021). Evaluating the impact of Khanh Son power plant on Danang Distribution Network. International Journal of Emerging Electric Power Systems. 23(2). 221–231. 1 indexed citations
5.
Itoh, Takumi, Ryo Hatano, Yoshiya Horimoto, et al.. (2021). IL-26 mediates epidermal growth factor receptor-tyrosine kinase inhibitor resistance through endoplasmic reticulum stress signaling pathway in triple-negative breast cancer cells. Cell Death and Disease. 12(6). 520–520. 16 indexed citations
6.
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Itoh, Takumi, Ryo Hatano, Eriko Komiya, et al.. (2018). Biological Effects of IL-26 on T Cell–Mediated Skin Inflammation, Including Psoriasis. Journal of Investigative Dermatology. 139(4). 878–889. 52 indexed citations
8.
Ratnayake, Ranjala, Pamela A. Havre, Nam H. Dang, et al.. (2016). Multidimensional Screening Platform for Simultaneously Targeting Oncogenic KRAS and Hypoxia-Inducible Factors Pathways in Colorectal Cancer. ACS Chemical Biology. 11(5). 1322–1331. 27 indexed citations
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Kondo, Shunsuke, Satoshi Iwata, Taketo Yamada, et al.. (2012). Impact of the Integrin Signaling Adaptor Protein NEDD9 on Prognosis and Metastatic Behavior of Human Lung Cancer. Clinical Cancer Research. 18(22). 6326–6338. 40 indexed citations
12.
Aoe, Keisuke, Vishwa Jeet Amatya, Nobukazu Fujimoto, et al.. (2012). CD26 Overexpression Is Associated with Prolonged Survival and Enhanced Chemosensitivity in Malignant Pleural Mesothelioma. Clinical Cancer Research. 18(5). 1447–1456. 49 indexed citations
13.
Forero‐Torres, Andres, Sven de Vos, Brad Pohlman, et al.. (2012). Results of a Phase 1 Study of AME-133v (LY2469298), an Fc-Engineered Humanized Monoclonal Anti-CD20 Antibody, in FcγRIIIa-Genotyped Patients with Previously Treated Follicular Lymphoma. Clinical Cancer Research. 18(5). 1395–1403. 54 indexed citations
14.
Luchman, H. Artee, Nam H. Dang, Michael Blough, et al.. (2011). An in vivo patient-derived model of endogenous IDH1-mutant glioma. Neuro-Oncology. 14(2). 184–191. 134 indexed citations
15.
Falchook, G. S., Francisco Vega, Nam H. Dang, et al.. (2009). Hepatosplenic gamma-delta T-cell lymphoma: clinicopathological features and treatment. Annals of Oncology. 20(6). 1080–1085. 105 indexed citations
16.
Dang, Duyen T., Sang Y. Chun, Kyunghee Burkitt, et al.. (2008). Hypoxia-Inducible Factor-1 Target Genes as Indicators of Tumor Vessel Response to Vascular Endothelial Growth Factor Inhibition. Cancer Research. 68(6). 1872–1880. 62 indexed citations
17.
Rodriguez, Maria Alma, Fernando Cabanillas, Nam H. Dang, et al.. (2004). Recovery of natural killer cell counts after one course of CHOP chemotherapy is diminished in patients older than 60 compared to patients younger than 60.. Cancer Research. 64. 507–507. 2 indexed citations
18.
Ishii, Tomonori, Kei Ohnuma, Akikazu Murakami, et al.. (2003). SS-A/Ro52, an Autoantigen Involved in CD28-Mediated IL-2 Production. The Journal of Immunology. 170(7). 3653–3661. 44 indexed citations
19.
Ohnuma, Kei, Yasuhiko Munakata, Tomonori Ishii, et al.. (2001). Soluble CD26/Dipeptidyl Peptidase IV Induces T Cell Proliferation Through CD86 Up-Regulation on APCs. The Journal of Immunology. 167(12). 6745–6755. 51 indexed citations
20.
Dang, Nam H., Yoshihiro Torimoto, S F Schlossman, & Chikao Morimoto. (1990). Human CD4 helper T cell activation: functional involvement of two distinct collagen receptors, 1F7 and VLA integrin family.. The Journal of Experimental Medicine. 172(2). 649–652. 164 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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