Catherine D. Mao

652 citations
15 papers · 546 indexed · h-index 11
Topics
Wnt/β-catenin signaling in development and cancer (8 papers)Cancer-related gene regulation (5 papers)RNA Research and Splicing (4 papers)

In The Last Decade

Catherine D. Mao

14 papers receiving 541 citations

Peers

Catherine D. Mao
Comparison fields: 5 of 66
  • Molecular Biology 279
  • Immunology 149
  • Nutrition and Dietetics 85
  • Oncology 74
  • Endocrine and Autonomic Systems 69
Replace Gian Paolo Trentini with:
Gian Paolo Trentini Italy
Ana Quaglino Argentina
Maryline Simon Switzerland
K. Kogishi Japan
Keerang Park South Korea
Ben‐hua Sun United States
Toshka A. Abrams United States
Weiping Qiu United States
Thomas Hochdörfer Germany
Xiangyang Xiong China
Catherine D. Mao relative to Gian Paolo Trentini Italy Gian Paolo Trentini's profile →
Citations per field
00.5×3.5×
Gian Paolo Trentini · 1×
Citations per year

Countries citing papers authored by Catherine D. Mao

Since Specialization
Citations

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

Fields of papers citing papers by Catherine D. Mao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Catherine D. Mao

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

All Works

15 of 15 papers shown
#WorkIndexed citations
1 0
2 1
3 58
4 14
5 37
6 10
7 4
8 12
9 45
10 25
11 77
12 37
13 7
14 82
15 137

About Catherine D. Mao

Catherine D. Mao is a scholar working on Cellular and Molecular Neuroscience, Endocrine and Autonomic Systems and Molecular Biology, having authored 15 papers that have together received 546 indexed citations. Recurring topics across this work include Wnt/β-catenin signaling in development and cancer (8 papers), Cancer-related gene regulation (5 papers) and RNA Research and Splicing (4 papers). The work is most often cited by research in Endocrine and Autonomic Systems (69 citations), Immunology (149 citations) and Nutrition and Dietetics (85 citations). Catherine D. Mao has collaborated with scholars based in United States, France and Australia. Frequent co-authors include Ian Struewing, Stephen W. Byers, Paul E. DiCorleto, Phuong Mai Hoang, Keh-Chuang Chin, James L. Riley, Carlos S. Moreno, George R. Stark, Kenneth L. Wright and Tanya MacNeil. Their work appears in journals such as Journal of Biological Chemistry, Immunity and Biochemistry.

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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