Lishi Qian

1.2k citations
11 papers · 844 indexed · 1 hit paper · h-index 9
Topics
Tuberculosis Research and Epidemiology (11 papers)Mycobacterium research and diagnosis (11 papers)Infectious Diseases and Tuberculosis (5 papers)

In The Last Decade

Lishi Qian

11 papers receiving 818 citations

Hit Papers

Predominance of a single genotype of Mycobacterium tuberc...19952026200520151995100200300400500

Peers

Lishi Qian
Comparison fields: 5 of 39
  • Infectious Diseases 825
  • Epidemiology 807
  • Surgery 522
  • Molecular Biology 79
  • Molecular Medicine 45
Replace Thierry Zozio with:
Thierry Zozio Guadeloupe
Boris Vyshnevskiy Russia
E Engelke South Africa
Viacheslav Zhuravlev Russia
Ramona Groenheit Sweden
M.A.S. Telles Brazil
Valeria Penati Italy
B. Gicquel United States
Albert Kiers Netherlands
Johana Monteserin Argentina
Lishi Qian relative to Thierry Zozio Guadeloupe Thierry Zozio's profile →
Citations per field
00.5×1.5×
Thierry Zozio · 1×
Citations per year

Countries citing papers authored by Lishi Qian

Since Specialization
Citations

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

Fields of papers citing papers by Lishi Qian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lishi Qian

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

All Works

11 of 11 papers shown
#WorkIndexed citations
1 9
2 8
3 10
4 10
5 3
6 21
7 3
8 49
9 76
10 72
11
Predominance of a single genotype of Mycobacterium tuberculosis in countries of east Asiabreakdown →
583

About Lishi Qian

Lishi Qian is a scholar working on Infectious Diseases, Epidemiology and Molecular Medicine, having authored 11 papers that have together received 844 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (11 papers), Mycobacterium research and diagnosis (11 papers) and Infectious Diseases and Tuberculosis (5 papers). The work is most often cited by research in Infectious Diseases (825 citations), Epidemiology (807 citations) and Surgery (522 citations). Lishi Qian has collaborated with scholars based in United States, Guinea-Bissau and Philippines. Frequent co-authors include James T. Douglas, Dick van Soolingen, Pagbajabyn Nymadawa, J D van Embden, H. Traore, Françoise Portaels, P E de Haas, Jan D. A. van Embden, Adri G. M. van der Zanden and Evert F. Weltevreden. Their work appears in journals such as PLoS ONE, Journal of Clinical Microbiology and BMC 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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