Changwan Lu

670 total citations
9 papers, 555 citations indexed

About

Changwan Lu is a scholar working on Molecular Biology, Oncology and Rheumatology. According to data from OpenAlex, Changwan Lu has authored 9 papers receiving a total of 555 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 2 papers in Oncology and 2 papers in Rheumatology. Recurrent topics in Changwan Lu's work include Immunotherapy and Immune Responses (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and Rheumatoid Arthritis Research and Therapies (2 papers). Changwan Lu is often cited by papers focused on Immunotherapy and Immune Responses (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and Rheumatoid Arthritis Research and Therapies (2 papers). Changwan Lu collaborates with scholars based in United States, Germany and China. Changwan Lu's co-authors include Hong‐Bin Fang, Jipei Liao, Jun Shen, Maria Guarnera, Amy Chou, Zhengran Jiang, Xing Lingxiao, Nevins W. Todd, Lei Yu and Ruth L. Katz and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Neuroscience and Cancer.

In The Last Decade

Changwan Lu

9 papers receiving 548 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Changwan Lu United States 7 362 284 127 89 47 9 555
Michelle Lenarduzzi Canada 7 724 2.0× 642 2.3× 30 0.2× 99 1.1× 23 0.5× 7 886
Jonathan H. Law United States 6 184 0.5× 95 0.3× 97 0.8× 230 2.6× 23 0.5× 7 439
Bingsheng Sun China 13 217 0.6× 136 0.5× 51 0.4× 128 1.4× 38 0.8× 24 481
Dong-Choon Park South Korea 7 343 0.9× 195 0.7× 43 0.3× 108 1.2× 11 0.2× 8 597
Rosemarie Krupar Germany 16 225 0.6× 115 0.4× 157 1.2× 318 3.6× 44 0.9× 31 566
Huan-Hsien Kuo Taiwan 8 371 1.0× 196 0.7× 66 0.5× 47 0.5× 12 0.3× 8 443
Naohisa Oku Japan 6 204 0.6× 153 0.5× 21 0.2× 126 1.4× 16 0.3× 16 399
Ming-Qing Gao South Korea 8 220 0.6× 129 0.5× 47 0.4× 238 2.7× 27 0.6× 9 448
Irsan Kooi Netherlands 12 185 0.5× 121 0.4× 48 0.4× 231 2.6× 48 1.0× 15 483
Shoumin Bai China 9 298 0.8× 166 0.6× 24 0.2× 189 2.1× 12 0.3× 25 453

Countries citing papers authored by Changwan Lu

Since Specialization
Citations

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

Fields of papers citing papers by Changwan Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Changwan Lu

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

All Works

9 of 9 papers shown
1.
Yu, Hua, Changwan Lu, Ming Tan, & Kamal D. Moudgil. (2013). Comparative antigen-induced gene expression profiles unveil novel aspects of susceptibility/resistance to adjuvant arthritis in rats. Molecular Immunology. 56(4). 531–539. 4 indexed citations
2.
Jain, Ajay, Henrik S. Olsen, Erin Burch, et al.. (2012). Fully recombinant IgG2a Fc multimers (stradomers) effectively treat collagen-induced arthritis and prevent idiopathic thrombocytopenic purpura in mice. Arthritis Research & Therapy. 14(4). R192–R192. 50 indexed citations
3.
Voskens, Caroline, Duane A. Sewell, Ronna Hertzano, et al.. (2012). inducTION of mage‐A3 and HPV‐16 immunity by Trojan vaccines in patients with head and neck carcinoma. Head & Neck. 34(12). 1734–1746. 56 indexed citations
4.
Yu, Hua, Changwan Lu, Ming Tan, & Kamal D. Moudgil. (2011). The gene expression profile of preclinical autoimmune arthritis and its modulation by a tolerogenic disease-protective antigenic challenge. Arthritis Research & Therapy. 13(5). R143–R143. 6 indexed citations
5.
Wu, Yin, Marshall R. Posner, Lisa M. Schumaker, et al.. (2011). Novel biomarker panel predicts prognosis in human papillomavirus‐negative oropharyngeal cancer. Cancer. 118(7). 1811–1817. 22 indexed citations
6.
Shen, Jun, Nevins W. Todd, Howard Zhang, et al.. (2010). Plasma microRNAs as potential biomarkers for non-small-cell lung cancer. Laboratory Investigation. 91(4). 579–587. 318 indexed citations
7.
Cairo, Cristiana, Cheryl Armstrong, Ming Tan, et al.. (2010). Impact of age, gender, and race on circulating γδ T cells. Human Immunology. 71(10). 968–975. 49 indexed citations
8.
Lu, Changwan, Thomas S. Vihtelic, David R. Hyde, & Tiansen Li. (1999). A Neuronal-specific Mammalian Homolog of theDrosophilaRetinal Degeneration B Gene with Expression Restricted to the Retina and Dentate Gyrus. Journal of Neuroscience. 19(17). 7317–7325. 42 indexed citations
9.
Lu, Changwan, et al.. (1997). Tissue-specific Regulation of G-protein-coupled Inwardly Rectifying K+ Channel Expression by Muscarinic Receptor Activation in Ovo. Journal of Biological Chemistry. 272(47). 29958–29962. 8 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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