Tengcheng Que

615 citations
27 papers · 112 · h-index 7

Impact in

Papers in

Tengcheng Que

25 papers receiving 112 citations

Peers

Tengcheng Que
Comparison fields: 5 of 49
  • Parasitology 20
  • Small Animals 11
  • Infectious Diseases 23
  • Genetics 32
  • Developmental Biology 2
Replace Ilja Heckmann with:
Ilja Heckmann Germany
Jeanne Duhayer France
K. E. Lane-deGraaf United States
Adauto Luís Veloso Nunes Brazil
Julia Stagegaard Germany
Igor Trbojević Bosnia and Herzegovina
Andréia Maria da Silva Brazil
Annika Tiesmeyer Germany
Elinor Jax Sweden
Tengcheng Que relative to Ilja Heckmann Germany Ilja Heckmann's profile →
Citations per field
00.5×
Ilja Heckmann · 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 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201315
2 201314
3 202113
4 20219
5 20218
6 20227
7 20226
8 20196
9 20245
10 20204
11
The Classification Status of Presbytis leucocephalu
20042
12 20252
13 20222
14 20232
15 20222
16 20252
17 20242
18 20242
19
Observations on the Hybrid F of Trachypthecus leucocephalus and T. francioisi and Its Offspring
20072
20 20222

About Tengcheng Que

Tengcheng Que is a scholar working on Molecular Biology, Infectious Diseases, Genetics, Ecology and Parasitology, having authored 27 papers that have together received 112 indexed citations. Recurring topics across this work include Viral Infections and Vectors (4 papers), Vector-borne infectious diseases (4 papers), Genomics and Phylogenetic Studies (3 papers), Wildlife Ecology and Conservation (3 papers), Genetic diversity and population structure (3 papers), Animal Nutrition and Physiology (2 papers), Epigenetics and DNA Methylation (2 papers) and Gut microbiota and health (2 papers). The work is most often cited by research in Parasitology (20 citations), Small Animals (11 citations), Infectious Diseases (23 citations), Genetics (32 citations) and Developmental Biology (2 citations). Tengcheng Que has collaborated with scholars based in China, Macao and Uzbekistan. Frequent co-authors include Jiange Zhang, Yanling Hu, Chengming Huang, Hongbo Liu, Siwei Deng, Yang Hu, Tao Sun, Yao Zhao, Boshi Wang and Li‐Qun Fang. Their work appears in journals such as Communications Biology, PLoS ONE, GigaScience, Journal of Veterinary Diagnostic Investigation and Nature 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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