Xiaoneng Mo

8.0k citations
11 papers · 826 · 1 hit paper · h-index 6

Impact in

  • Neurology top 2%
    • Long-Term Effects of COVID-19
    • COVID-19 Clinical Research Studies
    • SARS-CoV-2 and COVID-19 Research

Papers in

Xiaoneng Mo

11 papers receiving 810 citations

Hit Papers

Abnormal pulmonary function in COVID-19 patients at time of hospital discharge 2020 · 529 citations
5290+2+4Years since publication100200300400500

Peers

Xiaoneng Mo
Comparison fields: 5 of 89
  • Neurology 522
  • Infectious Diseases 519
  • Critical Care and Intensive Care Medicine 111
  • Pulmonary and Respiratory Medicine 256
  • Clinical Psychology 99
Replace Lieguang Zhang with:
Lieguang Zhang China
Nicholas E. Ingraham United States
Jamie Freedman United States
Jun Heng Chong United Kingdom
Jinglong Lv China
Suxin Wan China
Yang Ruishan China
Xilong Deng China
Renjie Qin China
Xiaoneng Mo relative to Lieguang Zhang China Lieguang Zhang's profile →
Citations per field
00.5×3.8×
Lieguang Zhang · 1×
Citations per year

Countries citing papers authored by Xiaoneng Mo

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoneng Mo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Xiaoneng Mo, 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 Xiaoneng Mo Line = papers co-authored together Xiaoneng Mo links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1
Abnormal pulmonary function in COVID-19 patients at time of hospital discharge
Hit paper breakdown →
2020529
2 2020227
3 202124
4 202214
5 202113
6 201810
7 20214
8 20202
9 20241
10 20141
11
Expression and Clinical Significance of TTF-1 in Lung Adenocarcinoma Tissues
20131

About Xiaoneng Mo

Xiaoneng Mo is a scholar working on Infectious Diseases, Neurology, Pulmonary and Respiratory Medicine, Molecular Biology and Nephrology, having authored 11 papers that have together received 826 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (8 papers), Long-Term Effects of COVID-19 (4 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Respiratory Support and Mechanisms (2 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (2 papers), Single-cell and spatial transcriptomics (1 paper), Renal Diseases and Glomerulopathies (1 paper) and Mast cells and histamine (1 paper). The work is most often cited by research in Neurology (522 citations), Infectious Diseases (519 citations), Critical Care and Intensive Care Medicine (111 citations), Pulmonary and Respiratory Medicine (256 citations) and Clinical Psychology (99 citations). Xiaoneng Mo has collaborated with scholars based in China. Frequent co-authors include Ping Peng, Mu Chen, Wenhua Jian, Chunliang Lei, Hui Peng, Shiyue Li, Ruchong Chen, Nanshan Zhong, Zhuquan Su and Fengyu Hu. Their work appears in journals such as The Journal of Immunology, Current Medical Research and Opinion, npj Biofilms and Microbiomes, European Respiratory Journal and Med.

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.

Explore authors with similar magnitude of impact