Xinhua Weng

1.9k citations
62 papers · 1.3k indexed · h-index 21
Topics
Tuberculosis Research and Epidemiology (22 papers)Mycobacterium research and diagnosis (19 papers)Antifungal resistance and susceptibility (11 papers)

In The Last Decade

Xinhua Weng

58 papers receiving 1.3k citations

Peers

Xinhua Weng
Comparison fields: 5 of 94
  • Infectious Diseases 882
  • Epidemiology 843
  • Surgery 314
  • Molecular Biology 251
  • Immunology 172
Replace T. J. Walsh with:
T. J. Walsh United States
Arlo Upton New Zealand
Annerose Serr Germany
V M Katoch India
Valeria Pietropaolo Italy
B. Kubak United States
Luis F. Barrera Colombia
Susan Sloan United States
Yoko Matsuzaki Japan
Akira Yasuoka Japan
Xinhua Weng relative to T. J. Walsh United States T. J. Walsh's profile →
Citations per field
00.5×4.2×
T. J. Walsh · 1×
Citations per year

Countries citing papers authored by Xinhua Weng

Since Specialization
Citations

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

Fields of papers citing papers by Xinhua Weng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xinhua Weng

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 13
3 4
4 3
5 1
6 25
7 6
8 20
9 45
10 71
11 12
12 15
13 107
14 16
15 34
16 21
17
Clinical analysis of 146 patients with cryptococcal meningitis
1
18 13
19
[Effects of Oxymatrine on the expression of tissue inhibitor of metalloproteinase-1 and alpha-smooth muscle actin in the livers of rats with hepatic fibrosis].
1
20
Nosocomial Fungal Infections in Target Population:A Prospective Survey
1

About Xinhua Weng

Xinhua Weng is a scholar working on Infectious Diseases, Epidemiology and Hepatology, having authored 62 papers that have together received 1.3k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (22 papers), Mycobacterium research and diagnosis (19 papers) and Antifungal resistance and susceptibility (11 papers). The work is most often cited by research in Infectious Diseases (882 citations), Epidemiology (843 citations) and Microbiology (73 citations). Xinhua Weng has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Lingyun Shao, Jiazhen Chen, Wenhong Zhang, Liping Zhu, Jing Wu, Ying Zhang, Yan Gao, Jiqin Wu, Feifei Wang and Ni Diao. Their work appears in journals such as PLoS ONE, Scientific Reports and Biochemical and Biophysical Research Communications.

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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