Tāo Luò

4.9k citations
78 papers · 1.8k indexed · h-index 23
Topics
Tuberculosis Research and Epidemiology (39 papers)Mycobacterium research and diagnosis (37 papers)Yersinia bacterium, plague, ectoparasites research (9 papers)
Journals
Proceedings of the National Academy of SciencesSHILAP Revista de lepidopterologíaPLoS ONE

In The Last Decade

Tāo Luò

74 papers receiving 1.8k citations

Peers

Tāo Luò
Comparison fields: 5 of 122
  • Infectious Diseases 1.4k
  • Epidemiology 1.2k
  • Surgery 510
  • Molecular Biology 470
  • Genetics 275
Replace Graham Rose with:
Graham Rose United Kingdom
T. Garnier France
Toïdi Adékambi France
Thomas Åkerlund Sweden
Kim Mallard United Kingdom
Caitlin S. Pepperell United States
A Brisson-Noël France
Jennifer R. O’Connor United States
Paul E. Carlson United States
M. Fabre France
Tāo Luò relative to Graham Rose United Kingdom Graham Rose's profile →
Citations per field
00.5×1.5×2.4×
Graham Rose · 1×
Citations per year

Countries citing papers authored by Tāo Luò

Since Specialization
Citations

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

Fields of papers citing papers by Tāo Luò

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tāo Luò

This figure shows the co-authorship network connecting the top 25 collaborators of Tāo Luò. A scholar is included among the top collaborators of Tāo Luò 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 Tāo Luò. Tāo Luò 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 0
2 3
3 6
4 2
5 0
6 14
7 2
8 20
9 6
10 26
11 32
12 10
13 35
14 20
15 189
16
[Evaluation of different sets of variable number of tandem repeats ioci for genotyping Mycobacterium tuberculosis isolates in China].
1
17 72
18 18
19
Analysis of the anti-tuberculosis drugs resistance of Mycobacterium tuberculosis in Chengdu area.
1
20
Effects of different amounts of Cassia rotundifolia appended on the yield and amino acid of Tricholoma loba tense heim
2

About Tāo Luò

Tāo Luò is a scholar working on Infectious Diseases, Microbiology and Epidemiology, having authored 78 papers that have together received 1.8k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (39 papers), Mycobacterium research and diagnosis (37 papers) and Yersinia bacterium, plague, ectoparasites research (9 papers). The work is most often cited by research in Infectious Diseases (1.4k citations), Epidemiology (1.2k citations) and Molecular Medicine (126 citations). Tāo Luò has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Qian Gao, Chongguang Yang, Jian Mei, Qingyun Liu, Gang Sun, Kathryn DeRiemer, Mingyu Gan, Xin Shen, Jie Wu and Yiping Hou. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and PLoS ONE.

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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