Ding-Hui Wan

809 total citations
9 papers, 740 citations indexed

About

Ding-Hui Wan is a scholar working on Immunology, Public Health, Environmental and Occupational Health and Molecular Biology. According to data from OpenAlex, Ding-Hui Wan has authored 9 papers receiving a total of 740 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Immunology, 3 papers in Public Health, Environmental and Occupational Health and 2 papers in Molecular Biology. Recurrent topics in Ding-Hui Wan's work include Invertebrate Immune Response Mechanisms (9 papers), Aquaculture disease management and microbiota (8 papers) and Mosquito-borne diseases and control (3 papers). Ding-Hui Wan is often cited by papers focused on Invertebrate Immune Response Mechanisms (9 papers), Aquaculture disease management and microbiota (8 papers) and Mosquito-borne diseases and control (3 papers). Ding-Hui Wan collaborates with scholars based in China and United States. Ding-Hui Wan's co-authors include Pei‐Hui Wang, Jianguo He, Xiao‐Qiang Yu, Shaoping Weng, Zhi-Hua Gu, Jianping Liang, Wei Qiu, Mingyan Zhang, Yong-Gui Chen and Xiande Huang and has published in prestigious journals such as PLoS ONE, Cellular and Molecular Immunology and Developmental & Comparative Immunology.

In The Last Decade

Ding-Hui Wan

9 papers receiving 735 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ding-Hui Wan China 9 693 165 149 114 111 9 740
Zhi-Hua Gu China 11 913 1.3× 221 1.3× 180 1.2× 148 1.3× 143 1.3× 11 967
Phattarunda Jaree Thailand 13 383 0.6× 96 0.6× 42 0.3× 91 0.8× 109 1.0× 32 438
T.A. Jose Priya India 9 442 0.6× 75 0.5× 37 0.2× 99 0.9× 113 1.0× 17 530
Libo Hou China 13 278 0.4× 71 0.4× 49 0.3× 135 1.2× 80 0.7× 41 440
Zhiqiang Du China 15 381 0.5× 91 0.6× 47 0.3× 97 0.9× 84 0.8× 33 481
Reiko Nozaki Japan 15 537 0.8× 68 0.4× 66 0.4× 148 1.3× 162 1.5× 50 714
Guadalupe Maldonado Mexico 8 346 0.5× 86 0.5× 42 0.3× 67 0.6× 137 1.2× 18 470
Kuninori Kinoshita Japan 8 418 0.6× 248 1.5× 42 0.3× 167 1.5× 20 0.2× 8 629
Shengwen Niu China 10 253 0.4× 64 0.4× 28 0.2× 73 0.6× 75 0.7× 16 327
Toyohiro Nishioka Japan 10 299 0.4× 96 0.6× 30 0.2× 50 0.4× 102 0.9× 26 389

Countries citing papers authored by Ding-Hui Wan

Since Specialization
Citations

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

Fields of papers citing papers by Ding-Hui Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ding-Hui Wan. 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 Ding-Hui Wan. The network helps show where Ding-Hui Wan may publish in the future.

Co-authorship network of co-authors of Ding-Hui Wan

This figure shows the co-authorship network connecting the top 25 collaborators of Ding-Hui Wan. A scholar is included among the top collaborators of Ding-Hui Wan 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 Ding-Hui Wan. Ding-Hui Wan 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.
Wang, Pei‐Hui, Zhi-Hua Gu, Ding-Hui Wan, et al.. (2013). Litopenaeus vannamei Toll-interacting protein (LvTollip) is a potential negative regulator of the shrimp Toll pathway involved in the regulation of the shrimp antimicrobial peptide gene penaeidin-4 (PEN4). Developmental & Comparative Immunology. 40(3-4). 266–277. 33 indexed citations
2.
3.
Wang, Pei‐Hui, Ding-Hui Wan, Yong-Gui Chen, et al.. (2013). Characterization of Four Novel Caspases from Litopenaeus vannamei (Lvcaspase2-5) and Their Role in WSSV Infection through dsRNA-Mediated Gene Silencing. PLoS ONE. 8(12). e80418–e80418. 42 indexed citations
4.
Wang, Pei‐Hui, Zhi-Hua Gu, Ding-Hui Wan, et al.. (2013). Litopenaeus vannamei Sterile-Alpha and Armadillo Motif Containing Protein (LvSARM) Is Involved in Regulation of Penaeidins and antilipopolysaccharide factors. PLoS ONE. 8(2). e52088–e52088. 29 indexed citations
5.
Wang, Pei‐Hui, Zhi-Hua Gu, Ding-Hui Wan, et al.. (2013). The shrimp IKK–NF-κB signaling pathway regulates antimicrobial peptide expression and may be subverted by white spot syndrome virus to facilitate viral gene expression. Cellular and Molecular Immunology. 10(5). 423–436. 78 indexed citations
6.
Wang, Pei‐Hui, Jianping Liang, Zhi-Hua Gu, et al.. (2011). Molecular cloning, characterization and expression analysis of two novel Tolls (LvToll2 and LvToll3) and three putative Spätzle-like Toll ligands (LvSpz1–3) from Litopenaeus vannamei. Developmental & Comparative Immunology. 36(2). 359–371. 216 indexed citations
7.
Wang, Pei‐Hui, Zhi-Hua Gu, Ding-Hui Wan, et al.. (2011). The Shrimp NF-κB Pathway Is Activated by White Spot Syndrome Virus (WSSV) 449 to Facilitate the Expression of WSSV069 (ie1), WSSV303 and WSSV371. PLoS ONE. 6(9). e24773–e24773. 111 indexed citations
8.
9.
Wang, Pei‐Hui, Ding-Hui Wan, Zhi-Hua Gu, et al.. (2010). Litopenaeus vannamei tumor necrosis factor receptor-associated factor 6 (TRAF6) responds to Vibrio alginolyticus and white spot syndrome virus (WSSV) infection and activates antimicrobial peptide genes. Developmental & Comparative Immunology. 35(1). 105–114. 112 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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