Su Yan

603 citations
4 papers · 401 · 1 hit paper · h-index 3

Impact in

Papers in

Su Yan

3 papers receiving 396 citations

Hit Papers

Clinical Characteristics and Risk Factors for Mortality of COVID-19 Patients With Diabetes in Wuhan, China: A Two-Center, Retrospective Study 2020 · 290 citations
2900+2+4Years since publication50100150200250

Peers

Su Yan
Comparison fields: 5 of 64
  • Geriatrics and Gerontology 101
  • Family Practice 39
  • Infectious Diseases 238
  • Neurology 113
  • Applied Microbiology and Biotechnology 10
Replace Jovana Milić with:
Jovana Milić Italy
Elsa Izquierdo-García Spain
Brooke Barlow United States
Bruria Hirsh Raccah Israel
Phillip G. Blanc United States
John C. Lewin United States
Flory T. Muanda Canada
Tara Kelley United States
Michael Qiu United States
Shubha Bhat United States
Su Yan relative to Jovana Milić Italy Jovana Milić's profile →
Citations per field
00.5×3.5×
Jovana Milić · 1×
Citations per year

Countries citing papers authored by Su Yan

Since Specialization
Citations

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

Fields of papers citing papers by Su Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Su Yan, 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 Yan Line = papers co-authored together Su Yan links everyone, so they are left out of the graph.

All Works

4 of 4 papers shown
#Work
1
Clinical Characteristics and Risk Factors for Mortality of COVID-19 Patients With Diabetes in Wuhan, China: A Two-Center, Retrospective Study
Hit paper breakdown →
2020290
2 2019106
3 20215
4 20250

About Su Yan

Su Yan is a scholar working on Infectious Diseases, Surgery, Occupational Therapy, Critical Care and Intensive Care Medicine and Pediatrics, Perinatology and Child Health, having authored 4 papers that have together received 401 indexed citations. Recurring topics across this work include Pharmaceutical Practices and Patient Outcomes (1 paper), Pharmaceutical studies and practices (1 paper), Heat Transfer and Optimization (1 paper), Integrated Energy Systems Optimization (1 paper), Nosocomial Infections in ICU (1 paper), Spacecraft and Cryogenic Technologies (1 paper), COVID-19 Clinical Research Studies (1 paper) and Pancreatitis Pathology and Treatment (1 paper). The work is most often cited by research in Geriatrics and Gerontology (101 citations), Family Practice (39 citations), Infectious Diseases (238 citations), Neurology (113 citations) and Applied Microbiology and Biotechnology (10 citations). Su Yan has collaborated with scholars based in China, Hong Kong and Poland. Frequent co-authors include Yongjun Guan, Chen Chen, Xiaoyi Zhang, Xuanzhe Zhang, Xingcheng Xiong, Fang Jiang, Jing Tao, Ning Hu, Weixing Wang and Hanjun Li. Their work appears in journals such as Energy, Annals of Pharmacotherapy, Diabetes Care and BMC Gastroenterology.

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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