Tengcheng Que

657 citations
29 papers · 125 · h-index 8

Impact in

Papers in

Tengcheng Que

25 papers receiving 123 citations

Peers

Tengcheng Que
Comparison fields: 5 of 49
  • Parasitology 22
  • Small Animals 11
  • Infectious Diseases 20
  • Genetics 30
  • Social Psychology 21
Replace Huailiang Xu with:
Huailiang Xu China
Ilja Heckmann Germany
José O. Valdebenito United Kingdom
Jeanne Duhayer France
Adauto Luís Veloso Nunes Brazil
Martin Těšičký Czechia
Verena Harms Germany
K. E. Lane-deGraaf United States
Cait A. McDonald United States
Pauline Charruau Austria
Tengcheng Que relative to Huailiang Xu China Huailiang Xu's profile →
Citations per field
00.5×
Huailiang Xu · 1×
Citations per year

Countries citing papers authored by Tengcheng Que

Since Specialization
Citations

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

Fields of papers citing papers by Tengcheng Que

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202117
2 201316
3 201314
4 20219
5 20219
6 20228
7 20197
8 20247
9 20226
10 20204
11 20243
12 20223
13 20253
14 20252
15
The Classification Status of Presbytis leucocephalu
20042
16 20242
17 20232
18 20222
19 20222
20
Observations on the Hybrid F of Trachypthecus leucocephalus and T. francioisi and Its Offspring
20072

About Tengcheng Que

Tengcheng Que is a scholar working on Molecular Biology, Infectious Diseases, Genetics, Ecology and Parasitology, having authored 29 papers that have together received 125 indexed citations. Recurring topics across this work include Vector-borne infectious diseases (4 papers), Viral Infections and Vectors (4 papers), Wildlife Ecology and Conservation (3 papers), Genomics and Phylogenetic Studies (3 papers), Genetic diversity and population structure (3 papers), Gut microbiota and health (2 papers), Epigenetics and DNA Methylation (2 papers) and Animal Nutrition and Physiology (2 papers). The work is most often cited by research in Parasitology (22 citations), Small Animals (11 citations), Infectious Diseases (20 citations), Genetics (30 citations) and Social Psychology (21 citations). Tengcheng Que has collaborated with scholars based in China, Macao and Belarus. Frequent co-authors include Jiange Zhang, Yanling Hu, Chengming Huang, Zhijin Liu, Xiao-Ming Cui, Tilo Nadler, Chunhong Du, Sara Platto, Bao‐Gui Jiang and Na Jia. Their work appears in journals such as PLoS ONE, Communications Biology, Nature Communications, Molecular Biology and Evolution and Frontiers in Cellular and Infection Microbiology.

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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