Xiaojuan Li

50 total papers · 541 total citations
30 papers, 374 citations indexed

About

Xiaojuan Li is a scholar working on Epidemiology, Public Health, Environmental and Occupational Health and Oncology. According to data from OpenAlex, Xiaojuan Li has authored 30 papers receiving a total of 374 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Epidemiology, 7 papers in Public Health, Environmental and Occupational Health and 6 papers in Oncology. Recurrent topics in Xiaojuan Li's work include Sepsis Diagnosis and Treatment (7 papers), Neonatal and Maternal Infections (6 papers) and Streptococcal Infections and Treatments (5 papers). Xiaojuan Li is often cited by papers focused on Sepsis Diagnosis and Treatment (7 papers), Neonatal and Maternal Infections (6 papers) and Streptococcal Infections and Treatments (5 papers). Xiaojuan Li collaborates with scholars based in China, United States and Germany. Xiaojuan Li's co-authors include Jian‐Bao Xin, Wan‐Li Ma, Jie Yang, Mingli Yuan, Xin Zhao, Lijun Chen, Tiewei Li, Junmei Yang, Geng Dong and Zhe Xu and has published in prestigious journals such as PLoS ONE, Medicine and Journal of Food Science.

In The Last Decade

Xiaojuan Li

28 papers receiving 371 citations

Author Peers

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

Author Last Decade Papers Cites
Xiaojuan Li 122 122 96 79 54 30 374
Ya Li 91 0.7× 70 0.6× 71 0.7× 93 1.2× 94 1.7× 34 439
Yunyang Deng 43 0.4× 86 0.7× 138 1.4× 60 0.8× 53 1.0× 29 416
Yi‐Wei Lin 83 0.7× 86 0.7× 51 0.5× 64 0.8× 95 1.8× 31 347
T. Lotti 112 0.9× 37 0.3× 45 0.5× 84 1.1× 64 1.2× 35 408
Hua Meng 61 0.5× 59 0.5× 72 0.8× 77 1.0× 59 1.1× 35 340
Claire K. Mulvey 65 0.5× 93 0.8× 126 1.3× 52 0.7× 64 1.2× 24 352
Katsuhisa Toda 90 0.7× 93 0.8× 101 1.1× 88 1.1× 100 1.9× 19 446
Tian-bao Huang 98 0.8× 80 0.7× 35 0.4× 39 0.5× 84 1.6× 28 347
Hongwei Wang 50 0.4× 57 0.5× 52 0.5× 55 0.7× 120 2.2× 25 446
Takafumi Hashimoto 90 0.7× 136 1.1× 43 0.4× 122 1.5× 46 0.9× 35 420

Countries citing papers authored by Xiaojuan Li

Since Specialization
Citations

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

Fields of papers citing papers by Xiaojuan Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaojuan Li

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