Junhong Ai

46 total papers · 455 total citations
31 papers, 259 citations indexed

About

Junhong Ai is a scholar working on Epidemiology, Infectious Diseases and Oncology. According to data from OpenAlex, Junhong Ai has authored 31 papers receiving a total of 259 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Epidemiology, 13 papers in Infectious Diseases and 9 papers in Oncology. Recurrent topics in Junhong Ai's work include Respiratory viral infections research (8 papers), Viral-associated cancers and disorders (8 papers) and Immune Cell Function and Interaction (7 papers). Junhong Ai is often cited by papers focused on Respiratory viral infections research (8 papers), Viral-associated cancers and disorders (8 papers) and Immune Cell Function and Interaction (7 papers). Junhong Ai collaborates with scholars based in China, United States and Japan. Junhong Ai's co-authors include Zhengde Xie, Kunling Shen, Jing Chen, Zheng Guo, Zongbo Chen, Gang Liu, Yuning Li, Chen Zhou, Liwei Gao and Chunyan Liu and has published in prestigious journals such as Frontiers in Immunology, British Journal of Haematology and Frontiers in Neuroscience.

In The Last Decade

Junhong Ai

27 papers receiving 258 citations

Author Peers

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

Author Last Decade Papers Cites
Junhong Ai 116 93 64 46 44 31 259
K Roubalová 161 1.4× 56 0.6× 38 0.6× 47 1.0× 68 1.5× 34 326
Léa Maria Macruz Ferreira Demarchi 83 0.7× 34 0.4× 58 0.9× 81 1.8× 28 0.6× 26 318
Marieke van der Heiden 91 0.8× 77 0.8× 62 1.0× 36 0.8× 119 2.7× 30 330
Feng Chen 43 0.4× 35 0.4× 44 0.7× 92 2.0× 77 1.8× 30 306
Claire‐Michèle Farber 66 0.6× 82 0.9× 65 1.0× 74 1.6× 40 0.9× 16 272
Nobutaka Tasaka 123 1.1× 11 0.1× 74 1.2× 73 1.6× 39 0.9× 27 326
Takashi Tomoda 95 0.8× 39 0.4× 109 1.7× 94 2.0× 70 1.6× 25 322
Л.И. Чернышова 76 0.7× 95 1.0× 13 0.2× 29 0.6× 142 3.2× 31 290
Tatjana Jeren 86 0.7× 88 0.9× 36 0.6× 20 0.4× 55 1.3× 29 309
Melanie Grant 93 0.8× 51 0.5× 98 1.5× 74 1.6× 80 1.8× 26 309

Countries citing papers authored by Junhong Ai

Since Specialization
Citations

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

Fields of papers citing papers by Junhong Ai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junhong Ai

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