DeRen Huang

4.9k total citations
49 papers, 3.5k citations indexed

About

DeRen Huang is a scholar working on Immunology, Neurology and Pathology and Forensic Medicine. According to data from OpenAlex, DeRen Huang has authored 49 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Immunology, 13 papers in Neurology and 11 papers in Pathology and Forensic Medicine. Recurrent topics in DeRen Huang's work include Multiple Sclerosis Research Studies (11 papers), Myasthenia Gravis and Thymoma (8 papers) and T-cell and B-cell Immunology (8 papers). DeRen Huang is often cited by papers focused on Multiple Sclerosis Research Studies (11 papers), Myasthenia Gravis and Thymoma (8 papers) and T-cell and B-cell Immunology (8 papers). DeRen Huang collaborates with scholars based in United States, Sweden and Germany. DeRen Huang's co-authors include Richard M. Ransohoff, Jintang Wang, Barrett J. Rollins, Pia Kivisäkk, Ann Kari Lefvert, Ritva Pirskanen, Fu‐Dong Shi, Ricardo Giscombe, Margaret E Sasse and Astrid E. Cardona and has published in prestigious journals such as New England Journal of Medicine, Circulation and Journal of Clinical Investigation.

In The Last Decade

DeRen Huang

48 papers receiving 3.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
DeRen Huang United States 31 1.5k 934 763 661 594 49 3.5k
C.D. Dijkstra Netherlands 26 1.9k 1.2× 863 0.9× 511 0.7× 986 1.5× 248 0.4× 53 4.3k
David E. Szymkowski United States 33 1.0k 0.7× 579 0.6× 509 0.7× 1.5k 2.2× 232 0.4× 66 3.5k
Tatsuro Ishibashi Japan 49 1.7k 1.1× 741 0.8× 777 1.0× 3.7k 5.7× 496 0.8× 235 9.7k
Subramaniam Sriram United States 30 1.0k 0.7× 308 0.3× 404 0.5× 637 1.0× 210 0.4× 66 2.5k
Mary C. Nakamura United States 41 3.1k 2.0× 1.1k 1.2× 942 1.2× 2.1k 3.1× 257 0.4× 80 6.1k
Khadir Raddassi United States 26 1.4k 0.9× 685 0.7× 572 0.7× 1.2k 1.8× 169 0.3× 49 3.6k
Piet Stinissen Belgium 48 3.5k 2.3× 971 1.0× 881 1.2× 1.4k 2.1× 474 0.8× 162 6.7k
Koh‐Hei Sonoda Japan 40 1.8k 1.2× 481 0.5× 431 0.6× 1.6k 2.5× 221 0.4× 267 6.6k
Norbert Goebels Germany 29 2.1k 1.4× 845 0.9× 547 0.7× 1.0k 1.6× 685 1.2× 58 4.3k
Rupert Hallmann Germany 36 2.0k 1.3× 793 0.8× 838 1.1× 1.8k 2.7× 145 0.2× 51 5.4k

Countries citing papers authored by DeRen Huang

Since Specialization
Citations

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

Fields of papers citing papers by DeRen Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of DeRen Huang

This figure shows the co-authorship network connecting the top 25 collaborators of DeRen Huang. A scholar is included among the top collaborators of DeRen Huang 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 DeRen Huang. DeRen Huang 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.
Fox, Edward, Lawrence Steinman, Hans‐Peter Hartung, et al.. (2022). Infusion-Related Reactions (IRRs) With Ublituximab in Patients With Relapsing Multiple Sclerosis (RMS): Post Hoc Analyses From the Phase 3 ULTIMATE I and II Studies (P6-4.010). Neurology. 98(18_supplement). 1 indexed citations
2.
3.
Naismith, Robert T., Barry Hendin, Sibyl Wray, et al.. (2019). Patients transitioning from non-pegylated to pegylated interferon beta-1a have a low risk of new flu-like symptoms: ALLOW phase 3b trial results. Multiple Sclerosis Journal - Experimental Translational and Clinical. 5(1). 2453242116–2453242116. 5 indexed citations
4.
5.
Moll, Natalia, Anna Rietsch, Amy Ransohoff, et al.. (2007). Cortical demyelination in PML and MS. Neurology. 70(5). 336–343. 91 indexed citations
6.
Huang, DeRen, Fu‐Dong Shi, Steffen Jung, et al.. (2006). The neuronal chemokine CX3CL1/fractalkine selectively recruits NK cells that modify experimental autoimmune encephalomyelitis within the central nervous system. The FASEB Journal. 20(7). 896–905. 230 indexed citations
7.
Huang, DeRen, Jerome R. Wujek, Grahame J. Kidd, et al.. (2005). Chronic expression of monocyte chemoattractant protein‐1 in the central nervous system causes delayed encephalopathy and impaired microglial function in mice. The FASEB Journal. 19(7). 761–772. 120 indexed citations
8.
Liu, Liping, Melissa K. Callahan, DeRen Huang, & Richard M. Ransohoff. (2005). Chemokine Receptor CXCR3: An Unexpected Enigma. Current topics in developmental biology. 68. 149–181. 127 indexed citations
9.
Huang, DeRen, et al.. (2003). Relative importance of CCR5 and antineutrophil cytoplasmic antibodies in patients with Wegener's granulomatosis.. PubMed. 30(7). 1541–7. 30 indexed citations
10.
Huang, DeRen, Marie Tani, Jintang Wang, et al.. (2002). Pertussis Toxin-Induced Reversible Encephalopathy Dependent on Monocyte Chemoattractant Protein-1 Overexpression in Mice. Journal of Neuroscience. 22(24). 10633–10642. 50 indexed citations
11.
Kakoulidou, Maria, Qianhui Qiu, Ricardo Giscombe, et al.. (2002). CDS1 and promoter single nucleotide polymorphisms of the CTLA-4 gene in human myasthenia gravis. Genes and Immunity. 3(1). 46–49. 35 indexed citations
12.
Wang, Xiongbiao, Maria Kakoulidou, Ricardo Giscombe, et al.. (2002). Abnormal expression of CTLA-4 by T cells from patients with myasthenia gravis: effect of an AT-rich gene sequence. Journal of Neuroimmunology. 130(1-2). 224–232. 122 indexed citations
13.
He, Tao, et al.. (2001). TNF-α mediates SDF-1α–induced NF-κB activation and cytotoxic effects in primary astrocytes. Journal of Clinical Investigation. 108(3). 425–435. 8 indexed citations
14.
Zheng, Chengyun, DeRen Huang, Li Liu, et al.. (2001). Cytotoxic T‐lymphocyte antigen‐4 microsatellite polymorphism is associated with multiple myeloma. British Journal of Haematology. 112(1). 216–218. 43 indexed citations
15.
Huang, DeRen, Yulong Han, M.R. Sandhya Rani, et al.. (2000). Chemokines and chemokine receptors in inflammation of the nervous system: manifold roles and exquisite regulation. Immunological Reviews. 177(1). 52–67. 198 indexed citations
16.
Huang, DeRen, et al.. (2000). Dinucleotide repeat expansion in the CTLA-4 gene leads to T cell hyper-reactivity via the CD28 pathway in myasthenia gravis. Journal of Neuroimmunology. 105(1). 69–77. 65 indexed citations
17.
Huang, DeRen, et al.. (2000). β2-adrenergic receptor gene polymorphisms in myasthenia gravis (MG). Clinical & Experimental Immunology. 119(1). 156–160. 27 indexed citations
18.
Huang, DeRen, Chengyun Zheng, Ricardo Giscombe, et al.. (1999). Polymorphisms at −174 and in the 3′ flanking region of interleukin-6 (IL-6) gene in patients with myasthenia gravis. Journal of Neuroimmunology. 101(2). 197–200. 24 indexed citations
19.
Huang, DeRen, et al.. (1998). Genetic association of Ctla-4 to myasthenia gravis with thymoma. Journal of Neuroimmunology. 88(1-2). 192–198. 73 indexed citations
20.
Huang, DeRen, et al.. (1998). No evidence for interleukin-4 gene conferring susceptibility to myasthenia gravis. Journal of Neuroimmunology. 92(1-2). 208–211. 18 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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