Su Lin

100 papers receiving 4.0k citations

Su Lin's Hit Papers

The impact of COPD and smoking history on the severity of COVID‐19: A systemic review and meta‐analysis 2020 · 497 citations
4970+9+19Years since publication200400600

Peers

Su Lin
Comparison fields: 5 of 149
  • Hepatology 364
  • Nutrition and Dietetics 684
  • Infectious Diseases 761
  • Epidemiology 1.1k
  • Aging 52
Replace Ann N. Burchell with:
Ann N. Burchell United Kingdom
Sonia C. Flores United States
Yvon Berland France
Giuseppe Castaldo Italy
Ailong Huang China
Walter Hofmann Germany
William J. Watkins United Kingdom
David R. Katz United Kingdom
William Lewis United States
Robert L. Baehner United States
Su Lin relative to Ann N. Burchell United Kingdom Ann N. Burchell's profile →
Citations per field
00.5×3.2×
Ann N. Burchell · 1×
Citations per year

Countries citing papers authored by Su Lin

Since Specialization
Citations

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

Fields of papers citing papers by Su Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 103 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Metal Ion Chaperone Function of the Soluble Cu(I) Receptor Atx1
Hit paper breakdown →
1997609
2
The impact of COPD and smoking history on the severity of COVID‐19: A systemic review and meta‐analysis
Hit paper breakdown →
2020497
3
Comparison of MAFLD and NAFLD diagnostic criteria in real world
Hit paper breakdown →
2020396
4 1995236
5 2020232
6 2020222
7 1986156
8 1995129
9 2019120
10 2021105
11 202089
12 200779
13 200767
14 199460
15 199552
16 201851
17 201544
18 202141
19 202040
20 201840

About Su Lin

Su Lin is a scholar working on Epidemiology, Hepatology, Surgery, Physiology and Infectious Diseases, having authored 103 papers that have together received 4.1k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (27 papers), Liver Disease and Transplantation (16 papers), Syphilis Diagnosis and Treatment (5 papers), COVID-19 Clinical Research Studies (5 papers), Pancreatitis Pathology and Treatment (4 papers), Hepatitis B Virus Studies (3 papers), Vitamin D Research Studies (3 papers) and Toxoplasma gondii Research Studies (3 papers). The work is most often cited by research in Hepatology (364 citations), Nutrition and Dietetics (684 citations), Infectious Diseases (761 citations), Epidemiology (1.1k citations) and Aging (52 citations). Su Lin has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Jiaofeng Huang, Yueyong Zhu, Valeria Culotta, Rahul Kumar, Yinlian Wu, Ming-Fang Wang, Thomas V. O’Halloran, Katrina Peariso, James E. Penner‐Hahn and Paul J. Schmidt. Their work appears in journals such as Journal of Medical Virology, Liver International, Scientific Reports, Proceedings of the National Academy of Sciences and Nature and Science of Sleep.

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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