Shenjie Tang

1.6k citations
64 papers · 960 indexed · h-index 15
    • Tuberculosis Research and Epidemiology 51
    • Mycobacterium research and diagnosis 25
    • Pneumocystis jirovecii pneumonia detection and treatment 9
    • Pneumonia and Respiratory Infections 6
  • Pharmacology top 10%
  • Surgery top 10%
    • Diagnosis and treatment of tuberculosis 15
    • Infectious Diseases and Tuberculosis 13
    • Cancer therapeutics and mechanisms 3
    • Biochemical and Molecular Research 2

Shenjie Tang

55 papers receiving 932 citations

Peers

Shenjie Tang
Comparison fields: 5 of 93
  • Infectious Diseases 768
  • Epidemiology 552
  • Molecular Medicine 36
  • Pharmacology 62
  • Surgery 284
Replace Andreas H. Diacon with:
Andreas H. Diacon South Africa
I. А. Vаsilyevа Russia
Els De Paepe Belgium
Nosipho Ngubane United Kingdom
Genevieve H. Wills United Kingdom
Nyasha Bakare United States
Heping Xiao China
Manfred Danilovitš Estonia
Kim Narunsky South Africa
Erica Egizi United States
Shenjie Tang relative to Andreas H. Diacon South Africa Andreas H. Diacon's profile →
Citations per field
00.5×1.5×1.8×
Andreas H. Diacon · 1×
Citations per year

Countries citing papers authored by Shenjie Tang

Since Specialization
Citations

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

Fields of papers citing papers by Shenjie Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20250
4 20250
5 20250
6 20242
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9 20241
10 20232
11 20182
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13 201814
14 2015226
15
[A cohort study on the outcome of multidrug-resistant tuberculosis in elderly patients].
20141
16 201333
17 20135
18 201393
19 201270
20
[Study on the correlation between polymorphisms of genes with susceptibility to tuberculosis and drug-resistant tuberculosis in Chinese Han population].
20115

About Shenjie Tang

Shenjie Tang is a scholar working on Infectious Diseases, Epidemiology and Surgery, having authored 64 papers that have together received 960 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (51 papers), Mycobacterium research and diagnosis (25 papers), Diagnosis and treatment of tuberculosis (15 papers), Infectious Diseases and Tuberculosis (13 papers), Pneumocystis jirovecii pneumonia detection and treatment (9 papers), Pneumonia and Respiratory Infections (6 papers), Cancer therapeutics and mechanisms (3 papers) and Biochemical and Molecular Research (2 papers). The work is most often cited by research in Infectious Diseases (768 citations), Epidemiology (552 citations) and Molecular Medicine (36 citations). Shenjie Tang has collaborated with scholars based in China, United States and Belgium. Frequent co-authors include Xiaohui Hao, Lan Yao, Yidian Liu, Zhanjun Zhang, Jin Gu, Meiying Wu, Heping Xiao, Fujian Li, Gang Liu and Nyasha Bakare.

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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