Dakuan Wang

407 citations
19 papers · 152 · h-index 9

Impact in

Papers in

    • Tuberculosis Research and Epidemiology 13
    • Mycobacterium research and diagnosis 6
    • Pneumocystis jirovecii pneumonia detection and treatment 4

Dakuan Wang

16 papers receiving 151 citations

Peers

Dakuan Wang
Comparison fields: 5 of 48
  • Infectious Diseases 89
  • Immunology 36
  • Epidemiology 57
  • Surgery 44
  • Cancer Research 11
Replace Viktoria Zaderer with:
Viktoria Zaderer Austria
Carlos Antônio do Nascimento Santos Brazil
Weimin Zhou China
Xiangyang Yao China
Ruvalic M. Buijs‐Offerman Netherlands
Shouguo Pan China
Jagadeeswara Rao Muvva Sweden
Aditya Rao United States
Youchao Dai China
Artem Rubinstein Russia
Dakuan Wang relative to Viktoria Zaderer Austria Viktoria Zaderer's profile →
Citations per field
00.5×2.9×
Viktoria Zaderer · 1×
Citations per year

Countries citing papers authored by Dakuan Wang

Since Specialization
Citations

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

Fields of papers citing papers by Dakuan Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 202023
2 201920
3 202114
4 202112
5 202212
6 201912
7 202111
8 20209
9 20228
10 20237
11 20227
12 20247
13 20225
14 20212
15 20212
16 20241
17 20240
18 20220
19 20240

About Dakuan Wang

Dakuan Wang is a scholar working on Infectious Diseases, Epidemiology, Surgery, Molecular Biology and Immunology, having authored 19 papers that have together received 152 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (13 papers), Mycobacterium research and diagnosis (6 papers), Infectious Diseases and Tuberculosis (5 papers), Pneumocystis jirovecii pneumonia detection and treatment (4 papers), Diagnosis and treatment of tuberculosis (4 papers), Extracellular vesicles in disease (2 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (1 paper) and MicroRNA in disease regulation (1 paper). The work is most often cited by research in Infectious Diseases (89 citations), Immunology (36 citations), Epidemiology (57 citations), Surgery (44 citations) and Cancer Research (11 citations). Dakuan Wang has collaborated with scholars based in China, Taiwan and United States. Frequent co-authors include Zisen Liu, Henan Xin, Shouguo Pan, Lei Gao, Qi Jin, Boxuan Feng, Xuefang Cao, Qiang Zhang, Xueqing Wang and Bing He. Their work appears in journals such as Emerging Microbes & Infections, Microbiology Spectrum, Frontiers in Microbiology, Clinical Microbiology and Infection and Infectious Diseases.

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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