Rong Mao

13.9k citations
135 papers · 4.8k indexed · 2 hit papers · h-index 35
Topics
Genomics and Rare Diseases (25 papers)Genomic variations and chromosomal abnormalities (17 papers)Metabolism and Genetic Disorders (15 papers)
Partner nations
United StatesCanadaQatar

In The Last Decade

Rong Mao

127 papers receiving 4.7k citations

Hit Papers

Low-grade inflammation as a key mediator of the pathogene...2015202620182022201620152505007501000

Peers

Rong Mao
Comparison fields: 5 of 136
  • Molecular Biology 1.8k
  • Rheumatology 1.0k
  • Genetics 1.0k
  • Pulmonary and Respiratory Medicine 785
  • Genetics 666
Replace Yasuteru Muragaki with:
Yasuteru Muragaki Japan
Hans Scheffer Netherlands
Vorasuk Shotelersuk Thailand
Nicolas Cagnard France
Yoko Aoki Japan
Gaetano Magro Italy
Kenjiro Kosaki Japan
Susan E. Crawford United States
Isabel Illa Spain
Marco Tartaglia Italy
Rong Mao relative to Yasuteru Muragaki Japan Yasuteru Muragaki's profile →
Citations per field
00.5×2.7×
Yasuteru Muragaki · 1×
Citations per year

Countries citing papers authored by Rong Mao

Since Specialization
Citations

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

Fields of papers citing papers by Rong Mao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rong Mao

This figure shows the co-authorship network connecting the top 25 collaborators of Rong Mao. A scholar is included among the top collaborators of Rong 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 Rong Mao. Rong Mao 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 0
4 2
5 0
6 5
7 44
8 56
9 24
10 14
11 5
12 4
13 37
14 44
15 14
16 3
17 2
18 11
19 11
20 7

About Rong Mao

Rong Mao is a scholar working on Clinical Biochemistry, Genetics and Cancer Research, having authored 135 papers that have together received 4.8k indexed citations. Recurring topics across this work include Genomics and Rare Diseases (25 papers), Genomic variations and chromosomal abnormalities (17 papers) and Metabolism and Genetic Disorders (15 papers). The work is most often cited by research in Rheumatology (1.0k citations), Genetics (666 citations) and Genetics (1.0k citations). Rong Mao has collaborated with scholars based in United States, Canada and Qatar. Frequent co-authors include William H. Robinson, Christin M. Lepus, Harini Raghu, Tamsin M. Lindström, Jeremy Sokolove, Qian Wang, Jamie McDonald, Melinda Procter, Pinar Bayrak‐Toydemir and Jonathan Pevsner. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.

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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