Charlene Mao

2.9k citations
18 papers · 2.1k indexed · 1 hit paper · h-index 10
Topics
Immune Cell Function and Interaction (9 papers)Chronic Lymphocytic Leukemia Research (3 papers)T-cell and B-cell Immunology (3 papers)

In The Last Decade

Charlene Mao

17 papers receiving 2.1k citations

Hit Papers

MicroRNAs bind to Toll-like receptors to induce prometast...201220262016202120124008001.2k

Peers

Charlene Mao
Comparison fields: 5 of 97
  • Molecular Biology 1.5k
  • Cancer Research 1.2k
  • Immunology 690
  • Oncology 212
  • Surgery 127
Replace Susan Kohlhaas with:
Susan Kohlhaas United Kingdom
Haibo Zhou China
Xinfang Huang China
Xiaobing Luo China
Malgorzata Czystowska United States
Ji Lei China
Yvette Garcia-Flores United States
Guizhen Sun China
Federica Calore United States
Lydia Dyck Ireland
Charlene Mao relative to Susan Kohlhaas United Kingdom Susan Kohlhaas's profile →
Citations per field
00.5×3.3×
Susan Kohlhaas · 1×
Citations per year

Countries citing papers authored by Charlene Mao

Since Specialization
Citations

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

Fields of papers citing papers by Charlene Mao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Charlene Mao

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

All Works

18 of 18 papers shown
#WorkIndexed citations
1 0
2 5
3 2
4 1
5 2
6 1
7 27
8 153
9 80
10 3
11 50
12
MicroRNAs bind to Toll-like receptors to induce prometastatic inflammatory responsebreakdown →
1284
13 48
14 170
15 165
16 3
17 129
18 20

About Charlene Mao

Charlene Mao is a scholar working on Immunology, Hematology and Speech and Hearing, having authored 18 papers that have together received 2.1k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (9 papers), Chronic Lymphocytic Leukemia Research (3 papers) and T-cell and B-cell Immunology (3 papers). The work is most often cited by research in Cancer Research (1.2k citations), Immunology (690 citations) and Molecular Biology (1.5k citations). Charlene Mao has collaborated with scholars based in United States, Denmark and Ethiopia. Frequent co-authors include Michael A. Caligiuri, Carlo M. Croce, Gerard J. Nuovo, Eugenio Gaudio, Melissa Crawford, Alessio Paone, Francesca Lovat, Hansjüerg Alder, Paolo Fadda and Muller Fabbri. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and Nature Genetics.

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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