Yan Su

696 citations
21 papers · 534 · h-index 8

Impact in

Papers in

Yan Su

18 papers receiving 524 citations

Peers

Yan Su
Comparison fields: 5 of 90
  • Parasitology 191
  • Small Animals 42
  • Biochemistry 27
  • Infectious Diseases 64
  • Endocrinology, Diabetes and Metabolism 53
Replace Kitti Intuyod with:
Kitti Intuyod Thailand
Wenzhi Ren China
Abdel‐Hamid Z. Abdel‐Hamid Egypt
Xiaojuan Bi China
Priscilla Masamba South Africa
Regina J. Brown United States
Ali Nazarizadeh Iran
Imene Soufli Algeria
Mingyong Wang China
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Citations per field
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Citations per year

Countries citing papers authored by Yan Su

Since Specialization
Citations

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

Fields of papers citing papers by Yan Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011163
2 201397
3 202192
4 201360
5 201535
6
Functionalization and optimization-strategy of graphene oxide-based nanomaterials for gene and drug delivery.
202031
7 202112
8 20229
9
[Association between the synovial expression of cyclic citrullinated peptide and susceptibility variants of HLA-DRB1 shared epitope alleles and PADI 4 gene single nucleotide polymorphisms in patients with rheumatoid arthritis].
20126
10 20146
11 20125
12 20105
13 20254
14 20094
15 20252
16 20211
17 20221
18 20211
19 20150
20 20250

About Yan Su

Yan Su is a scholar working on Physiology, Molecular Biology, Cancer Research, Surgery and Genetics, having authored 21 papers that have together received 534 indexed citations. Recurring topics across this work include Erythrocyte Function and Pathophysiology (5 papers), Pancreatic function and diabetes (3 papers), Parasitic Infections and Diagnostics (2 papers), Hemoglobinopathies and Related Disorders (2 papers), Hemoglobin structure and function (2 papers), Cancer-related molecular mechanisms research (2 papers), Alzheimer's disease research and treatments (1 paper) and Diabetes and associated disorders (1 paper). The work is most often cited by research in Parasitology (191 citations), Small Animals (42 citations), Biochemistry (27 citations), Infectious Diseases (64 citations) and Endocrinology, Diabetes and Metabolism (53 citations). Yan Su has collaborated with scholars based in China and Malaysia. Frequent co-authors include Jigang Yin, Qijun Chen, Xiang Mei, Ning Jiang, Huijun Lu, Xiaoying Liang, Xiaojing Sun, Shuai Peng, Zhaoxia Wang and Chongming Wu. Their work appears in journals such as Electrophoresis, Journal of Clinical Microbiology, Bio-Medical Materials and Engineering, Experimental Parasitology and PLoS ONE.

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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