Hongling Wen

545 total citations · 1 hit paper
12 papers, 369 citations indexed

About

Hongling Wen is a scholar working on Infectious Diseases, Global and Planetary Change and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Hongling Wen has authored 12 papers receiving a total of 369 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Infectious Diseases, 7 papers in Global and Planetary Change and 6 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Hongling Wen's work include Viral Infections and Vectors (8 papers), Fire effects on ecosystems (7 papers) and Vector-Borne Animal Diseases (6 papers). Hongling Wen is often cited by papers focused on Viral Infections and Vectors (8 papers), Fire effects on ecosystems (7 papers) and Vector-Borne Animal Diseases (6 papers). Hongling Wen collaborates with scholars based in China. Hongling Wen's co-authors include Mengting Chen, Yanyan Jiang, Lili Wu, Jiurong Liu, Fenglong Wang, Zhengyi Yang, Zhou Wang, Hui Li, Hecheng Han and Yao Wang and has published in prestigious journals such as Frontiers in Microbiology, BMC Public Health and Nano-Micro Letters.

In The Last Decade

Hongling Wen

10 papers receiving 362 citations

Hit Papers

Recent Advancements on Photothermal Conversion and Antiba... 2022 2026 2023 2024 2022 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hongling Wen China 6 139 123 115 74 58 12 369
Ján Štěrba Czechia 16 136 1.0× 74 0.6× 52 0.5× 193 2.6× 72 1.2× 66 670
İbrahim Sözdutmaz Türkiye 7 109 0.8× 76 0.6× 51 0.4× 12 0.2× 57 1.0× 23 344
Yu-Sheng Pan China 8 102 0.7× 41 0.3× 24 0.2× 106 1.4× 51 0.9× 10 337
Huong Thi Thanh Doan Vietnam 14 97 0.7× 30 0.2× 107 0.9× 181 2.4× 91 1.6× 33 863
Alba Frias‐De‐Diego United States 10 95 0.7× 92 0.7× 50 0.4× 31 0.4× 46 0.8× 21 380
Ching‐Yen Lin United States 10 67 0.5× 57 0.5× 102 0.9× 7 0.1× 11 0.2× 20 438
David W. Baggett United States 11 63 0.5× 64 0.5× 150 1.3× 64 0.9× 36 0.6× 17 463
Monika Slavíková Slovakia 13 236 1.7× 44 0.4× 46 0.4× 297 4.0× 115 2.0× 28 552
Adoracion Pegalajar‐Jurado United States 13 85 0.6× 116 0.9× 55 0.5× 98 1.3× 20 0.3× 16 380
Rachel Benisty Israel 10 71 0.5× 29 0.2× 29 0.3× 28 0.4× 17 0.3× 13 503

Countries citing papers authored by Hongling Wen

Since Specialization
Citations

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

Fields of papers citing papers by Hongling Wen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hongling Wen

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

All Works

12 of 12 papers shown
3.
Duan, Qing, Yao Wang, Xiaolin Jiang, et al.. (2024). Spatial-temporal drivers and incidence heterogeneity of hemorrhagic fever with renal syndrome transmission in Shandong Province, China, 2016–2022. BMC Public Health. 24(1). 1032–1032. 2 indexed citations
4.
5.
Lin, Xiaojuan, Chao Li, Guifang Liu, et al.. (2024). Metagenomic sequencing reveals viral diversity of mosquitoes from Shandong Province, China. Microbiology Spectrum. 12(4). e0393223–e0393223. 4 indexed citations
6.
Han, Hecheng, Xiaoying Xu, Juan Li, et al.. (2023). Bovine Serum Albumin Stabilized Chlorhexidine/Nickel Phosphide Nanohybrids for Antibacterial Disinfectants. ACS Applied Nano Materials. 6(20). 19464–19475. 1 indexed citations
7.
8.
Wang, Yao, et al.. (2022). Clinical laboratory parameters and fatality of Severe fever with thrombocytopenia syndrome patients: A systematic review and meta-analysis. PLoS neglected tropical diseases. 16(6). e0010489–e0010489. 37 indexed citations
9.
Han, Hecheng, Zhengyi Yang, Mengting Chen, et al.. (2022). Recent Advancements on Photothermal Conversion and Antibacterial Applications over MXenes-Based Materials. Nano-Micro Letters. 14(1). 178–178. 196 indexed citations breakdown →
10.
Wang, Yao, et al.. (2022). Spatiotemporal analysis of severe fever with thrombocytopenia syndrome in Shandong Province, China, 2014–2018. BMC Public Health. 22(1). 1998–1998. 7 indexed citations
11.
Wang, Yao, et al.. (2022). Analysis of the spatial‐temporal components driving transmission of the severe fever with thrombocytopenia syndrome in Shandong Province, China, 2016–2018. Transboundary and Emerging Diseases. 69(6). 3761–3770. 6 indexed citations
12.
Zhao, Lin, Jie Li, Xiaoming Cui, et al.. (2020). Distribution of Haemaphysalis longicornis and associated pathogens: analysis of pooled data from a China field survey and global published data. The Lancet Planetary Health. 4(8). e320–e329. 103 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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