Maomei Ruan

619 citations
26 papers · 429 indexed · h-index 12
Topics
Thyroid Cancer Diagnosis and Treatment (11 papers)Radiomics and Machine Learning in Medical Imaging (10 papers)Lung Cancer Diagnosis and Treatment (10 papers)
Partner nations
China

In The Last Decade

Maomei Ruan

25 papers receiving 423 citations

Peers

Maomei Ruan
Comparison fields: 5 of 44
  • Radiology, Nuclear Medicine and Imaging 197
  • Pulmonary and Respiratory Medicine 181
  • Endocrinology, Diabetes and Metabolism 168
  • Molecular Biology 79
  • Oncology 69
Replace Xiaoshuai Yuan with:
Xiaoshuai Yuan China
Maria Felicia Villani Italy
Susanne Kohlfürst Austria
Jakob W. Kist Netherlands
Elisa Tardelli Italy
Gundula Rendl Austria
Sang Yu Nam South Korea
Melissa McGettigan United States
Manuela Racca Italy
Mohamed Elbanan United States
Maomei Ruan relative to Xiaoshuai Yuan China Xiaoshuai Yuan's profile →
Citations per field
00.5×1.5×2.1×
Xiaoshuai Yuan · 1×
Citations per year

Countries citing papers authored by Maomei Ruan

Since Specialization
Citations

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

Fields of papers citing papers by Maomei Ruan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maomei Ruan

This figure shows the co-authorship network connecting the top 25 collaborators of Maomei Ruan. A scholar is included among the top collaborators of Maomei Ruan 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 Maomei Ruan. Maomei Ruan 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 1
2 1
3 0
4 5
5 8
6 49
7 42
8 32
9 11
10 8
11 9
12 30
13 22
14 45
15 9
16 10
17 4
18 9
19 13
20 11

About Maomei Ruan

Maomei Ruan is a scholar working on Endocrinology, Diabetes and Metabolism, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine, having authored 26 papers that have together received 429 indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (11 papers), Radiomics and Machine Learning in Medical Imaging (10 papers) and Lung Cancer Diagnosis and Treatment (10 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (168 citations), Radiology, Nuclear Medicine and Imaging (197 citations) and Pulmonary and Respiratory Medicine (181 citations). Maomei Ruan has collaborated with scholars based in China. Frequent co-authors include Libo Chen, Min Liu, Bei Lei, Cheng Chang, Lihua Wang, Liu Liu, Yuchen Jin, Xiaoyan Sun, Libo Chen and Hui Yan. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Scientific Reports and Medical Physics.

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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