Xiulan Lai

1.4k citations
48 papers · 1.1k indexed · h-index 17
Topics
Mathematical Biology Tumor Growth (14 papers)Mathematical and Theoretical Epidemiology and Ecology Models (13 papers)Evolution and Genetic Dynamics (12 papers)
Partner nations
ChinaUnited StatesCanada

In The Last Decade

Xiulan Lai

43 papers receiving 1.0k citations

Peers

Xiulan Lai
Comparison fields: 5 of 84
  • Public Health, Environmental and Occupational Health 442
  • Modeling and Simulation 408
  • Genetics 319
  • Immunology 269
  • Oncology 268
Replace Ramin S. Herati with:
Ramin S. Herati United States
Michael Floßdorf Germany
Yue Teng China
Matthias Ottinger Germany
Asaf Poran United States
Marian L. Turner Australia
Jianmin Zuo United Kingdom
Ramon Roozendaal Netherlands
Mohamed S. Abdel-Hakeem Egypt
Johannes Pröll Austria
Xiulan Lai relative to Ramin S. Herati United States Ramin S. Herati's profile →
Citations per field
00.5×10×14.6×
Ramin S. Herati · 1×
Citations per year

Countries citing papers authored by Xiulan Lai

Since Specialization
Citations

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

Fields of papers citing papers by Xiulan Lai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiulan Lai

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 1
3 1
4 1
5 7
6 5
7 1
8 27
9 5
10 58
11 25
12 41
13 110
14 12
15 111
16 9
17 46
18 1
19 36
20 6

About Xiulan Lai

Xiulan Lai is a scholar working on Modeling and Simulation, Virology and Genetics, having authored 48 papers that have together received 1.1k indexed citations. Recurring topics across this work include Mathematical Biology Tumor Growth (14 papers), Mathematical and Theoretical Epidemiology and Ecology Models (13 papers) and Evolution and Genetic Dynamics (12 papers). The work is most often cited by research in Modeling and Simulation (408 citations), Virology (99 citations) and Public Health, Environmental and Occupational Health (442 citations). Xiulan Lai has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Xingfu Zou, Avner Friedman, Wanbiao Ma, Wei Wang, Lian Ma, Robert Wesolowski, Megan Duggan, William E. Carson, Andrew Stiff and Avner Friedman. Their work appears in journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Journal of Theoretical Biology.

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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