Fei Su

1000 citations
39 papers · 710 · 1 hit paper · h-index 13

Impact in

    • Immunotherapy and Immune Responses
    • SARS-CoV-2 and COVID-19 Research
    • Viral gastroenteritis research and epidemiology

Papers in

Fei Su

38 papers receiving 700 citations

Fei Su's Hit Papers

Effect of Pelacarsen on Lipoprotein(a) Cholesterol and Corrected Low-Density Lipoprotein Cholesterol 2022 · 139 citations
1390+1+2Years since publication4080120

Peers

Fei Su
Comparison fields: 5 of 97
  • Immunology 117
  • Infectious Diseases 81
  • Ophthalmology 36
  • Molecular Biology 230
  • Microbiology 20
Replace Sozaburo Ihara with:
Sozaburo Ihara Japan
Lisa Holt United States
Ying-De Wang China
Mumin Ozturk South Africa
Jeanne Kehren France
Kunal P. Patel United States
Mark K. Haynes United States
Fei Su relative to Sozaburo Ihara Japan Sozaburo Ihara's profile →
Citations per field
00.5×5.1×
Sozaburo Ihara · 1×
Citations per year

Countries citing papers authored by Fei Su

Since Specialization
Citations

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

Fields of papers citing papers by Fei Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Effect of Pelacarsen on Lipoprotein(a) Cholesterol and Corrected Low-Density Lipoprotein Cholesterol
Hit paper breakdown →
2022139
2 2016114
3 201946
4 201845
5 202344
6 202130
7 202327
8 201927
9 202122
10 202019
11 201718
12 202117
13 202114
14 201112
15 202212
16 201911
17 202311
18 201910
19 201710
20 20238

About Fei Su

Fei Su is a scholar working on Molecular Biology, Surgery, Infectious Diseases, Epidemiology and Immunology, having authored 39 papers that have together received 710 indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (5 papers), Animal Virus Infections Studies (4 papers), Herpesvirus Infections and Treatments (3 papers), Immune Response and Inflammation (3 papers), Cerebrovascular and genetic disorders (3 papers), CRISPR and Genetic Engineering (3 papers), Antibiotic Resistance in Bacteria (2 papers) and Immunotherapy and Immune Responses (2 papers). The work is most often cited by research in Immunology (117 citations), Infectious Diseases (81 citations), Ophthalmology (36 citations), Molecular Biology (230 citations) and Microbiology (20 citations). Fei Su has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Wangxue Chen, G. B. Patel, Songhua Hu, Joseph L. Witztum, Shuting Xia, Sotirios Tsimikas, Calvin Yeang, Ewa Karwatowska‐Prokopczuk, Liuqing Chen and Yun Xia. Their work appears in journals such as Journal of the American College of Cardiology, Medicine, Vaccines, PeerJ and mBio.

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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