Shaorong Li

2.7k total citations
66 papers, 1.8k citations indexed

About

Shaorong Li is a scholar working on Immunology, Ecology and Nature and Landscape Conservation. According to data from OpenAlex, Shaorong Li has authored 66 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Immunology, 21 papers in Ecology and 20 papers in Nature and Landscape Conservation. Recurrent topics in Shaorong Li's work include Aquaculture disease management and microbiota (26 papers), Fish Ecology and Management Studies (20 papers) and Physiological and biochemical adaptations (9 papers). Shaorong Li is often cited by papers focused on Aquaculture disease management and microbiota (26 papers), Fish Ecology and Management Studies (20 papers) and Physiological and biochemical adaptations (9 papers). Shaorong Li collaborates with scholars based in Canada, China and United States. Shaorong Li's co-authors include Kristina M. Miller, Scott G. Hinch, Karia H. Kaukinen, David A. Patterson, Tobi J. Ming, Angela D. Schulze, Norma G. Ginther, Anthony P. Farrell, Oliver P. Günther and Amy Tabata and has published in prestigious journals such as Science, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Shaorong Li

63 papers receiving 1.8k citations

Peers

Shaorong Li
Comparison fields: 5 of 131
  • Ecology 774
  • Nature and Landscape Conservation 697
  • Immunology 685
  • Aquatic Science 287
  • Global and Planetary Change 216
Replace Satoshi Miwa with:
Satoshi Miwa Japan
R. Iglesias Spain
John S. Lumsden Canada
Yu‐San Han Taiwan
Paul Wheeler United States
Tomofumi Kurobe United States
Zhihao Wu China
Yang Yu China
Benjamin H. Beck United States
Belén G. Pardo Spain
Satoshi Miwa Japan View profile →
Citations per field, relative to Shaorong Li
Shaorong Li · 1×
Citations per year, relative to Shaorong Li
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Countries citing papers authored by Shaorong Li

Since Specialization
Citations

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

Fields of papers citing papers by Shaorong Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaorong Li

This figure shows the co-authorship network connecting the top 25 collaborators of Shaorong Li. A scholar is included among the top collaborators of Shaorong Li based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Shaorong Li. Shaorong Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 2
2 3
3 4
4 8
5 1
6 11
7 5
8 6
9 5
10 1
11 24
12 40
13 2
14 20
15 16
16 10
17 30
18 34
19 19
20 35

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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