Qinglan Wang

31 papers receiving 546 citations

Qinglan Wang's Hit Papers

Decoding the WHO Global Tuberculosis Report 2024: A Critical Analysis of Global and Chinese Key Data 2025 · 21 citations
210Years since publication5101520

Peers

Qinglan Wang
Comparison fields: 5 of 89
  • Infectious Diseases 202
  • Molecular Medicine 34
  • Epidemiology 154
  • Cancer Research 64
  • Agronomy and Crop Science 43
Replace Ryan W. Honaker with:
Ryan W. Honaker United States
Huijun Guo China
Sanne van den Berg Netherlands
Qing Pan China
Perrine Bomme France
Yihong Peng China
Barbara L. Chow Canada
Linda van Dijk Netherlands
Xuelin Han China
Qinglan Wang relative to Ryan W. Honaker United States Ryan W. Honaker's profile →
Citations per field
00.5×3.7×
Ryan W. Honaker · 1×
Citations per year

Countries citing papers authored by Qinglan Wang

Since Specialization
Citations

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

Fields of papers citing papers by Qinglan Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020131
2 201559
3 201648
4 201938
5 201631
6 202126
7 201523
8 201723
9 202321
10
Decoding the WHO Global Tuberculosis Report 2024: A Critical Analysis of Global and Chinese Key Data
Hit paper breakdown →
202521
11 202016
12 202315
13 201715
14 202313
15 202411
16 201610
17 20238
18 20228
19 20227
20 20226

About Qinglan Wang

Qinglan Wang is a scholar working on Infectious Diseases, Epidemiology, Molecular Biology, Agronomy and Crop Science and Immunology, having authored 34 papers that have together received 558 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (12 papers), Mycobacterium research and diagnosis (8 papers), Ruminant Nutrition and Digestive Physiology (5 papers), RNA modifications and cancer (4 papers), Circular RNAs in diseases (3 papers), MicroRNA in disease regulation (3 papers), Ferroptosis and cancer prognosis (2 papers) and Spectroscopy and Chemometric Analyses (2 papers). The work is most often cited by research in Infectious Diseases (202 citations), Molecular Medicine (34 citations), Epidemiology (154 citations), Cancer Research (64 citations) and Agronomy and Crop Science (43 citations). Qinglan Wang has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Qian Gao, Helena I. Boshoff, Justin R. Harrison, Peter C. Ray, Paul G. Wyatt, Simon R. Green, Clifton E. Barry, Zhifei Zhang, Yongwei Qin and Shoufeng Wang. Their work appears in journals such as Frontiers in Immunology, Signal Transduction and Targeted Therapy, Infection and Immunity, International journal of agricultural and biological engineering and Oncology Reports.

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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