Ruiru Shi

1.2k citations
14 papers · 864 indexed · 1 hit paper · h-index 10
Topics
Tuberculosis Research and Epidemiology (14 papers)Mycobacterium research and diagnosis (9 papers)Diagnosis and treatment of tuberculosis (4 papers)
Partner nations
ChinaJapanBrazil

In The Last Decade

Ruiru Shi

14 papers receiving 854 citations

Hit Papers

Host-directed therapy of tuberculosis based on interleuki...20142026201820222014100200300400500

Peers

Ruiru Shi
Comparison fields: 5 of 74
  • Infectious Diseases 572
  • Epidemiology 411
  • Immunology 290
  • Molecular Biology 236
  • Surgery 149
Replace Guolong Zhang with:
Guolong Zhang China
Seok Yong Eum United States
Blas Peixoto United States
Dorothy Fallows United States
Supriya Pokkali United States
Neus Cáceres Spain
Gopinath S. Palanisamy United States
Vidhya R. Nair United States
Pedro Moura‐Alves Germany
Bianca E. Schneider Germany
Ruiru Shi relative to Guolong Zhang China Guolong Zhang's profile →
Citations per field
00.5×1.5×
Guolong Zhang · 1×
Citations per year

Countries citing papers authored by Ruiru Shi

Since Specialization
Citations

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

Fields of papers citing papers by Ruiru Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruiru Shi

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

All Works

14 of 14 papers shown
#WorkIndexed citations
1 25
2 40
3
Host-directed therapy of tuberculosis based on interleukin-1 and type I interferon crosstalkbreakdown →
567
4 22
5 1
6
[Detection of streptomycin resistance in Mycobacterium tuberculosis clinical isolates by denaturing high-performance liquid chromatography and DNA sequencing].
2
7 28
8 60
9 18
10 51
11 6
12 32
13 2
14
The molecular epidemiology of ethambutol-resistant Mycobacterium tuberculosis in Henan Province, China.
10

About Ruiru Shi

Ruiru Shi is a scholar working on Infectious Diseases, Epidemiology and Molecular Medicine, having authored 14 papers that have together received 864 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (14 papers), Mycobacterium research and diagnosis (9 papers) and Diagnosis and treatment of tuberculosis (4 papers). The work is most often cited by research in Infectious Diseases (572 citations), Immunology (290 citations) and Epidemiology (411 citations). Ruiru Shi has collaborated with scholars based in China, Japan and Brazil. Frequent co-authors include Isamu Sugawara, Guolong Zhang, Ying Cai, Laura E. Via, Clifton E. Barry, Xing Yuan, Bruno B. Andrade, Katrin D. Mayer-Barber, Alan Sher and Nathella Pavan Kumar. Their work appears in journals such as Nature, Scientific Reports and Journal of Clinical Microbiology.

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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