Zhutian Niu

462 total citations
10 papers, 383 citations indexed

About

Zhutian Niu is a scholar working on Dermatology, Immunology and Molecular Biology. According to data from OpenAlex, Zhutian Niu has authored 10 papers receiving a total of 383 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Dermatology, 5 papers in Immunology and 3 papers in Molecular Biology. Recurrent topics in Zhutian Niu's work include Cutaneous lymphoproliferative disorders research (5 papers), T-cell and Retrovirus Studies (3 papers) and Fungal Infections and Studies (2 papers). Zhutian Niu is often cited by papers focused on Cutaneous lymphoproliferative disorders research (5 papers), T-cell and Retrovirus Studies (3 papers) and Fungal Infections and Studies (2 papers). Zhutian Niu collaborates with scholars based in United States, Germany and Israel. Zhutian Niu's co-authors include Floyd E. Fox, Alain H. Rook, Alfonso J. Tobia, Tong‐Chuan He, Sunil V. Patel, Louise C. Showe, Don M. Wojchowski, Donna Williams, Maureen Cassin and Alain H. Rook and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Immunology and The FASEB Journal.

In The Last Decade

Zhutian Niu

10 papers receiving 373 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhutian Niu United States 9 141 136 108 79 60 10 383
Jimyung Seo South Korea 12 68 0.5× 45 0.3× 44 0.4× 329 4.2× 80 1.3× 31 573
Katherine E. Lewis United States 9 159 1.1× 226 1.7× 67 0.6× 93 1.2× 16 0.3× 20 493
Samia Baloul France 5 63 0.4× 55 0.4× 34 0.3× 72 0.9× 46 0.8× 6 284
Iman Tadmori United States 7 152 1.1× 17 0.1× 46 0.4× 81 1.0× 72 1.2× 8 329
Frank G.M. Snijdewint Netherlands 11 320 2.3× 18 0.1× 96 0.9× 300 3.8× 26 0.4× 12 655
C. Ortland Germany 8 42 0.3× 162 1.2× 66 0.6× 296 3.7× 169 2.8× 12 539
Terkild B. Buus Denmark 15 311 2.2× 278 2.0× 136 1.3× 129 1.6× 8 0.1× 34 619
Huifang Li United States 11 216 1.5× 21 0.2× 33 0.3× 99 1.3× 38 0.6× 19 398
K. Merétey Hungary 9 235 1.7× 16 0.1× 48 0.4× 121 1.5× 16 0.3× 19 450
Erin T. Strovel United States 11 72 0.5× 38 0.3× 22 0.2× 261 3.3× 14 0.2× 16 528

Countries citing papers authored by Zhutian Niu

Since Specialization
Citations

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

Fields of papers citing papers by Zhutian Niu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhutian Niu

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

All Works

10 of 10 papers shown
1.
Wang, Zhibin, Stephen Pacchione, Zhutian Niu, et al.. (2010). A multi-species assay for siRNA-mediated mRNA knockdown analysis without the need for RNA purification. Journal of Pharmacological and Toxicological Methods. 63(2). 174–179. 2 indexed citations
2.
Zeira, Evelyne, Eli Kedar, Michal Gropp, et al.. (2007). Femtosecond laser: a new intradermal DNA delivery method for efficient, long‐term gene expression and genetic immunization. The FASEB Journal. 21(13). 3522–3533. 28 indexed citations
3.
Showe, Louise C., et al.. (1999). Depressed IL-12-mediated signal transduction in T cells from patients with Sézary syndrome is associated with the absence of IL-12 receptor beta 2 mRNA and highly reduced levels of STAT4.. PubMed. 163(7). 4073–9. 42 indexed citations
6.
Rook, Alain H., et al.. (1998). Use of biological response modifiers in the treatment of cutaneous T-cell lymphoma. Current Opinion in Oncology. 10(2). 162–174. 13 indexed citations
7.
Fox, Floyd E., Marek Kubin, Maureen Cassin, et al.. (1997). Calcitonin Gene-Related Peptide Inhibits Proliferation and Antigen Presentation by Human Peripheral Blood Mononuclear Cells: Effects on B7, Interleukin 10, and Interleukin12. Journal of Investigative Dermatology. 108(1). 43–48. 95 indexed citations
8.
Rook, Alain H., Floyd E. Fox, Zhutian Niu, et al.. (1996). The Potential Therapeutic Role of Interleukin‐12 in Cutaneous T‐Cell Lymphomaa. Annals of the New York Academy of Sciences. 795(1). 310–318. 29 indexed citations
9.
Niu, Zhutian, et al.. (1995). Erythropoietin-dependent Inhibition of Apoptosis Is Supported by Carboxyl-truncated Receptor Forms and Blocked by Dominant-negative Forms of Jak2. Journal of Biological Chemistry. 270(24). 14500–14504. 54 indexed citations
10.
Zhuang, H., Sunil V. Patel, Tong‐Chuan He, Zhutian Niu, & Don M. Wojchowski. (1994). Dominant Negative Effects of a Carboxy-Truncated Jak2 Mutant on Epo-Induced Proliferation and Jak2 Activation. Biochemical and Biophysical Research Communications. 204(1). 278–283. 17 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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