Xiaoli Su

3.4k citations
127 papers · 2.8k · h-index 27

Impact in

  • Immunology top 5%
    • Neutrophil, Myeloperoxidase and Oxidative Mechanisms
    • Immune Response and Inflammation
    • Immune cells in cancer
    • Adsorption and biosorption for pollutant removal

Papers in

Xiaoli Su

116 papers receiving 2.7k citations

Peers

Xiaoli Su
Comparison fields: 5 of 158
  • Immunology 502
  • Water Science and Technology 255
  • Pollution 175
  • Biomaterials 189
  • Pulmonary and Respiratory Medicine 364
Replace Magne Refsnes with:
Magne Refsnes Norway
Norimasa Iwasaki Japan
Fiona A Murphy United Kingdom
Leen C.J. Thomassen Belgium
Si Liu China
Xu Zhang China
Qi Wang China
Bin Yu China
Lihong Wang China
Il Je Yu South Korea
Xiaoli Su relative to Magne Refsnes Norway Magne Refsnes's profile →
Citations per field
00.5×1.5×2×2.3×
Magne Refsnes · 1×
Citations per year

Countries citing papers authored by Xiaoli Su

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoli Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 127 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016223
2 2014203
3 2019167
4 2018142
5 2022126
6 2017101
7 201594
8 201670
9 201770
10 201667
11 201762
12 201055
13 202255
14 201653
15 201550
16 201147
17 202146
18 201741
19 201739
20 201938

About Xiaoli Su

Xiaoli Su is a scholar working on Water Science and Technology, Pollution, Immunology, Safety, Risk, Reliability and Quality and Neurology, having authored 127 papers that have together received 2.8k indexed citations. Recurring topics across this work include Immune Response and Inflammation (9 papers), Machine Learning and ELM (9 papers), Clay minerals and soil interactions (8 papers), Geoscience and Mining Technology (8 papers), Rock Mechanics and Modeling (7 papers), Wastewater Treatment and Nitrogen Removal (7 papers), Amyotrophic Lateral Sclerosis Research (7 papers) and Advanced Algorithms and Applications (6 papers). The work is most often cited by research in Immunology (502 citations), Water Science and Technology (255 citations), Pollution (175 citations), Biomaterials (189 citations) and Pulmonary and Respiratory Medicine (364 citations). Xiaoli Su has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Pinhua Pan, Lemeng Zhang, Hongyi Tan, Dongdong Wu, He Hongping, Jianxi Zhu, Haitao Li, Minhui Dai, Yi Li and Chengping Hu. Their work appears in journals such as Applied Clay Science, Bioresource Technology, Journal of Membrane Science, Genes and Oncotarget.

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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