Mu Lin

405 total citations
24 papers, 271 citations indexed

About

Mu Lin is a scholar working on Surgery, Rheumatology and Epidemiology. According to data from OpenAlex, Mu Lin has authored 24 papers receiving a total of 271 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Surgery, 6 papers in Rheumatology and 5 papers in Epidemiology. Recurrent topics in Mu Lin's work include Systemic Lupus Erythematosus Research (6 papers), Cervical Cancer and HPV Research (2 papers) and Reproductive tract infections research (2 papers). Mu Lin is often cited by papers focused on Systemic Lupus Erythematosus Research (6 papers), Cervical Cancer and HPV Research (2 papers) and Reproductive tract infections research (2 papers). Mu Lin collaborates with scholars based in China, Taiwan and United States. Mu Lin's co-authors include Dihua Sun, Zhuoli Zhang, Yanjie Hao, Lanlan Ji, Yong Fan, Hong Huang, Yan Geng, Yau‐Lin Tseng, Xu Zhang and Jinghui Song and has published in prestigious journals such as Scientific Reports, Annals of the Rheumatic Diseases and Medicine.

In The Last Decade

Mu Lin

23 papers receiving 257 citations

Peers

Mu Lin
Comparison fields: 5 of 51
  • Surgery 98
  • Radiology, Nuclear Medicine and Imaging 96
  • Rheumatology 77
  • Pulmonary and Respiratory Medicine 65
  • Epidemiology 62
Replace Josephine M. Ambruzs with:
Josephine M. Ambruzs United States
Daniel Quandt Switzerland
İşılay Nadir Türkiye
Stephen H. Leveson United Kingdom
M. E. R. Williamson United Kingdom
Larissa L. Fujii United States
Antonio Martínez‐Noguera Spain
Christoph Schlag Germany
Mohamed Asif Chinnaratha Australia
Nai‐Jen Liu Taiwan
Josephine M. Ambruzs United States View profile →
Citations per field, relative to Mu Lin
Mu Lin · 1×
Citations per year, relative to Mu Lin
Mu Lin · 1×

Countries citing papers authored by Mu Lin

Since Specialization
Citations

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

Fields of papers citing papers by Mu Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mu Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Mu Lin. A scholar is included among the top collaborators of Mu Lin 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 Mu Lin. Mu Lin 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
# Work Indexed citations
1 1
2 1
3 1
4 3
5 8
6 9
7 3
8 3
9 23
10 3
11 18
12 10
13 50
14 15
15 2
16
[A pilot study of trans-esophageal aortic pulse oxygen saturation signals].
1
17 19
18
Surgical treatment of bronchiectasis
2
19
Intrathoracic migration of Kirschner wires.
28
20 66

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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