Maosong Ye

1.9k citations
34 papers · 1.1k · 1 hit paper · h-index 13

Impact in

Papers in

Maosong Ye

31 papers receiving 1.1k citations

Maosong Ye's Hit Papers

Microbiological Diagnostic Performance of Metagenomic Next-generation Sequencing When Applied to Clinical Practice 2018 · 628 citations
6280+2+5Years since publication200400600

Peers

Maosong Ye
Comparison fields: 5 of 105
  • Microbiology 22
  • Infectious Diseases 145
  • Epidemiology 234
  • Microbiology 45
  • Clinical Biochemistry 48
Replace Shingo Noguchi with:
Shingo Noguchi Japan
Toshinori Kawanami Japan
A. Haloun France
Yongjung Park South Korea
Ho Namkoong Japan
João Carlos Prolla Brazil
Keisuke Naito Japan
Senu Apewokin United States
Jorge Roig Spain
Venu Madhav Konala United States
Maosong Ye relative to Shingo Noguchi Japan Shingo Noguchi's profile →
Citations per field
00.5×1.7×
Shingo Noguchi · 1×
Citations per year

Countries citing papers authored by Maosong Ye

Since Specialization
Citations

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

Fields of papers citing papers by Maosong Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Maosong Ye, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Maosong Ye Line = papers co-authored together Maosong Ye links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Microbiological Diagnostic Performance of Metagenomic Next-generation Sequencing When Applied to Clinical Practice
Hit paper breakdown →
2018628
2 201988
3 202043
4 202041
5 201635
6 202032
7 202023
8 202121
9 201620
10 202015
11 202214
12 202013
13 202112
14 202212
15 201812
16 201811
17 202510
18 202310
19 20219
20 20238

About Maosong Ye

Maosong Ye is a scholar working on Pulmonary and Respiratory Medicine, Atmospheric Science, Infectious Diseases, Paleontology and Earth-Surface Processes, having authored 34 papers that have together received 1.1k indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (5 papers), Geological formations and processes (3 papers), Geology and Paleoclimatology Research (3 papers), Lung Cancer Diagnosis and Treatment (3 papers), Paleontology and Stratigraphy of Fossils (3 papers), Geological and Geophysical Studies (3 papers), COVID-19 Clinical Research Studies (3 papers) and Cancer Genomics and Diagnostics (2 papers). The work is most often cited by research in Microbiology (22 citations), Infectious Diseases (145 citations), Epidemiology (234 citations), Microbiology (45 citations) and Clinical Biochemistry (48 citations). Maosong Ye has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Bijie Hu, Chunmei Zhou, Qingqing Wang, Wenting Jin, Qing Miao, Yao Zhang, Yingnan Huang, Yongjun Li, Jue Pan and Bing Li. Their work appears in journals such as Frontiers in Oncology, BMC Microbiology, Respiration, International Journal of Infectious Diseases and npj Biofilms and Microbiomes.

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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