Xicheng Mao

1.3k total citations
19 papers, 979 citations indexed

About

Xicheng Mao is a scholar working on Molecular Biology, Cancer Research and Cell Biology. According to data from OpenAlex, Xicheng Mao has authored 19 papers receiving a total of 979 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 7 papers in Cancer Research and 5 papers in Cell Biology. Recurrent topics in Xicheng Mao's work include Ubiquitin and proteasome pathways (5 papers), NF-κB Signaling Pathways (5 papers) and interferon and immune responses (4 papers). Xicheng Mao is often cited by papers focused on Ubiquitin and proteasome pathways (5 papers), NF-κB Signaling Pathways (5 papers) and interferon and immune responses (4 papers). Xicheng Mao collaborates with scholars based in United States, China and Netherlands. Xicheng Mao's co-authors include Ezra Burstein, Gabriel N. Maine, Christine M. Komarck, Youming Xie, Donghong Ju, Nathan Gluck, Li Wang, Haiying Li, Lı Wang and Iram Waris Zaidi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Xicheng Mao

19 papers receiving 965 citations

Peers

Xicheng Mao
Comparison fields: 5 of 80
  • Molecular Biology 660
  • Cancer Research 299
  • Immunology 238
  • Oncology 197
  • Cell Biology 150
Replace Patrice Lassus with:
Patrice Lassus France
Lam Leduy Canada
Mike Hupe Germany
Alison J. Darmon Canada
Kwok‐Tao Pun United Kingdom
Jonah Riddell United States
Heng Wu China
Tobias Kratina Australia
Irene Ischenko United States
Yin Guo United States
Patrice Lassus France View profile →
Citations per field, relative to Xicheng Mao
Xicheng Mao · 1×
Citations per year, relative to Xicheng Mao
Xicheng Mao · 1×

Countries citing papers authored by Xicheng Mao

Since Specialization
Citations

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

Fields of papers citing papers by Xicheng Mao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xicheng Mao

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

All Works

19 of 19 papers shown
# Work Indexed citations
1 1
2 1
3 4
4 44
5 43
6 77
7 127
8 29
9 103
10 101
11 47
12 218
13 77
14 63
15 37
16 2
17
Small Subunit Ribosomal RNA Genes of Microsporidia.
3
18
[Role of PHO85 gene in the cell cycle control of budding yeast].
1
19
A rapid and efficient procedure for transformation of Saccharomyces cerevisiae intact cells with plasmid DNA.
1

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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