Lirong Shi

1.3k citations
15 papers · 847 indexed · h-index 12
Topics
Malaria Research and Control (10 papers)Mosquito-borne diseases and control (6 papers)Drug Transport and Resistance Mechanisms (2 papers)

In The Last Decade

Lirong Shi

15 papers receiving 834 citations

Peers

Lirong Shi
Comparison fields: 5 of 94
  • Public Health, Environmental and Occupational Health 457
  • Molecular Biology 262
  • Immunology 136
  • Epidemiology 135
  • Parasitology 123
Replace Susan E. Francis with:
Susan E. Francis United States
Dominique Dorin‐Semblat France
Petra Rohrbach Canada
Paolo Mesén-Ramírez Germany
Olivier Domarle Madagascar
Kenneth Udenze United States
Shannon Kenny Australia
Con Dogovski Australia
Elizabeth L. Ponder United States
Alexandra Blancke Soares Germany
Lirong Shi relative to Susan E. Francis United States Susan E. Francis's profile →
Citations per field
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Susan E. Francis · 1×
Citations per year

Countries citing papers authored by Lirong Shi

Since Specialization
Citations

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

Fields of papers citing papers by Lirong Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lirong Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Lirong Shi. A scholar is included among the top collaborators of Lirong Shi 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 Lirong Shi. Lirong Shi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
#WorkIndexed citations
1 1
2 1
3 65
4 130
5 60
6 36
7 25
8
Construction and Management of Port Supply Chain
1
9 82
10 221
11 24
12 47
13
15
14 27
15 112

About Lirong Shi

Lirong Shi is a scholar working on Parasitology, Public Health, Environmental and Occupational Health and Immunology, having authored 15 papers that have together received 847 indexed citations. Recurring topics across this work include Malaria Research and Control (10 papers), Mosquito-borne diseases and control (6 papers) and Drug Transport and Resistance Mechanisms (2 papers). The work is most often cited by research in Parasitology (123 citations), Public Health, Environmental and Occupational Health (457 citations) and Virology (50 citations). Lirong Shi has collaborated with scholars based in United States, Tanzania and China. Frequent co-authors include David Sullivan, Curtis R. Chong, Jun O. Liu, Xiaochun Chen, Photini Sinnis, Jayasree K. Iyer, Tadashi Yoshimoto, Robert L. Moritz, Timothy A. Springer and Melanie J. Shears. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and Biochemical Journal.

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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