Linlin Xu

672 total citations
35 papers, 357 citations indexed

About

Linlin Xu is a scholar working on Molecular Biology, Hematology and Oncology. According to data from OpenAlex, Linlin Xu has authored 35 papers receiving a total of 357 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 8 papers in Hematology and 7 papers in Oncology. Recurrent topics in Linlin Xu's work include Renal Diseases and Glomerulopathies (5 papers), Platelet Disorders and Treatments (4 papers) and Hematopoietic Stem Cell Transplantation (3 papers). Linlin Xu is often cited by papers focused on Renal Diseases and Glomerulopathies (5 papers), Platelet Disorders and Treatments (4 papers) and Hematopoietic Stem Cell Transplantation (3 papers). Linlin Xu collaborates with scholars based in China, United States and United Kingdom. Linlin Xu's co-authors include Lin Sun, Xiangyuan Liu, Jinxia Zhao, Guohong Du, Yajun Xu, Jie Zhao, Changhong Li, Rui Liu, Changhong Li and Hao Wu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Clinical Oncology.

In The Last Decade

Linlin Xu

30 papers receiving 355 citations

Peers

Linlin Xu
Comparison fields: 5 of 78
  • Molecular Biology 137
  • Hematology 77
  • Immunology 75
  • Oncology 74
  • Genetics 52
Replace Yan Qi with:
Yan Qi China
Ko‐Tung Chang Taiwan
Xinai Han China
Filomena Napolitano Italy
Kannan Karuppaiah United States
Naga Suresh Adapala United States
Rayford R. June United States
Il-Kwon Lee South Korea
Lingli Dong China
Imène Melki Canada
Yan Qi China View profile →
Citations per field, relative to Linlin Xu
Linlin Xu · 1×
Citations per year, relative to Linlin Xu
Linlin Xu · 1×

Countries citing papers authored by Linlin Xu

Since Specialization
Citations

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

Fields of papers citing papers by Linlin Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Linlin Xu

This figure shows the co-authorship network connecting the top 25 collaborators of Linlin Xu. A scholar is included among the top collaborators of Linlin Xu 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 Linlin Xu. Linlin Xu 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
# Work Indexed citations
1 0
2 3
3 1
4 5
5 8
6 2
7 0
8 3
9 5
10 2
11 5
12 2
13 8
14 36
15 22
16
Follicular regulatory T cells repress cytokine production by follicular helper T cells and optimize IgG responses in mice
1
17 6
18 48
19 0
20
[Expression of HER2/neu in meningiomas: an immunohistochemistry and fluorescence in situ hybridization study].
12

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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