Hongli An

39 total papers · 1.2k total citations
33 papers, 928 citations indexed

About

Hongli An is a scholar working on Immunology, Immunology and Allergy and Rheumatology. According to data from OpenAlex, Hongli An has authored 33 papers receiving a total of 928 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Immunology, 12 papers in Immunology and Allergy and 10 papers in Rheumatology. Recurrent topics in Hongli An's work include Mast cells and histamine (16 papers), Urticaria and Related Conditions (9 papers) and Food Allergy and Anaphylaxis Research (7 papers). Hongli An is often cited by papers focused on Mast cells and histamine (16 papers), Urticaria and Related Conditions (9 papers) and Food Allergy and Anaphylaxis Research (7 papers). Hongli An collaborates with scholars based in China, United States and Taiwan. Hongli An's co-authors include Yuanyuan Ding, Tao Zhang, Xiang Wang, Mei Xue, Huan Pang, Wei Chen, Huilian Hou, He Chen, Jingjing Pan and Xu Li and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Molecular and Cellular Biology.

In The Last Decade

Hongli An

30 papers receiving 923 citations

Author Peers

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

Author Last Decade Papers Cites
Hongli An 467 285 229 120 98 33 928
Hisao Kakegawa 549 1.2× 225 0.8× 108 0.5× 80 0.7× 62 0.6× 39 1.0k
Emmanuelle Rollet‐Labelle 543 1.2× 85 0.3× 386 1.7× 129 1.1× 95 1.0× 27 1000
Jeung Whan Han 845 1.8× 113 0.4× 166 0.7× 66 0.6× 122 1.2× 35 1.2k
Min Hong 314 0.7× 78 0.3× 263 1.1× 164 1.4× 189 1.9× 56 991
Gi Soo Youn 670 1.4× 90 0.3× 195 0.9× 42 0.3× 153 1.6× 34 1.2k
Hyeun‐Wook Chang 665 1.4× 171 0.6× 235 1.0× 53 0.4× 79 0.8× 50 1.2k
Charles S. Schasteen 430 0.9× 166 0.6× 65 0.3× 108 0.9× 77 0.8× 25 1.1k
Víctor Ermilo Arana‐Argáez 491 1.1× 261 0.9× 162 0.7× 48 0.4× 37 0.4× 51 1.1k
J.P. Pivel 252 0.5× 78 0.3× 335 1.5× 173 1.4× 32 0.3× 28 1.1k
Su-Jin Kim 379 0.8× 64 0.2× 498 2.2× 78 0.7× 94 1.0× 53 1.1k

Countries citing papers authored by Hongli An

Since Specialization
Citations

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

Fields of papers citing papers by Hongli An

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hongli An

This figure shows the co-authorship network connecting the top 25 collaborators of Hongli An. A scholar is included among the top collaborators of Hongli An 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 Hongli An. Hongli An 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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