Hui‐Fen Dong

68 total papers · 900 total citations
55 papers, 697 citations indexed

About

Hui‐Fen Dong is a scholar working on Parasitology, Ecology and Molecular Biology. According to data from OpenAlex, Hui‐Fen Dong has authored 55 papers receiving a total of 697 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Parasitology, 19 papers in Ecology and 14 papers in Molecular Biology. Recurrent topics in Hui‐Fen Dong's work include Parasites and Host Interactions (36 papers), Parasite Biology and Host Interactions (19 papers) and Helminth infection and control (11 papers). Hui‐Fen Dong is often cited by papers focused on Parasites and Host Interactions (36 papers), Parasite Biology and Host Interactions (19 papers) and Helminth infection and control (11 papers). Hui‐Fen Dong collaborates with scholars based in China, Germany and United Kingdom. Hui‐Fen Dong's co-authors include Ming-Sen Jiang, Rong Liu, Zhenping Ming, Yi Guo, Xingjian Xu, Huiru Tang, Yulan Wang, Junfang Wu, Wenxin Xu and Qing Ye and has published in prestigious journals such as The FASEB Journal, International Journal of Molecular Sciences and Frontiers in Microbiology.

In The Last Decade

Hui‐Fen Dong

55 papers receiving 683 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Hui‐Fen Dong 412 237 166 136 103 55 697
James L. Bennett 461 1.1× 179 0.8× 76 0.5× 110 0.8× 160 1.6× 21 725
Won Gi Yoo 314 0.8× 185 0.8× 181 1.1× 85 0.6× 157 1.5× 61 704
A. M. Deelder 615 1.5× 339 1.4× 77 0.5× 147 1.1× 228 2.2× 25 731
A. Davis 288 0.7× 133 0.6× 220 1.3× 89 0.7× 88 0.9× 32 626
G. Gazzinelli 429 1.0× 163 0.7× 46 0.3× 245 1.8× 112 1.1× 29 631
Sheilla Andrade de Oliveira 240 0.6× 99 0.4× 96 0.6× 86 0.6× 82 0.8× 36 673
Maria Y. Pakharukova 449 1.1× 248 1.0× 121 0.7× 26 0.2× 197 1.9× 58 727
R. S. Rocha 626 1.5× 261 1.1× 32 0.2× 237 1.7× 160 1.6× 34 758
Simone Haeberlein 393 1.0× 212 0.9× 91 0.5× 181 1.3× 94 0.9× 43 707
Leonardo Paiva Farias 394 1.0× 254 1.1× 189 1.1× 136 1.0× 78 0.8× 35 717

Countries citing papers authored by Hui‐Fen Dong

Since Specialization
Citations

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

Fields of papers citing papers by Hui‐Fen Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hui‐Fen Dong. 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 Hui‐Fen Dong. The network helps show where Hui‐Fen Dong may publish in the future.

Co-authorship network of co-authors of Hui‐Fen Dong

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

All Works

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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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