Hong‐Can Liu

2.6k total citations
131 papers, 2.0k citations indexed

About

Hong‐Can Liu is a scholar working on Molecular Biology, Ecology and Biotechnology. According to data from OpenAlex, Hong‐Can Liu has authored 131 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 129 papers in Molecular Biology, 106 papers in Ecology and 14 papers in Biotechnology. Recurrent topics in Hong‐Can Liu's work include Genomics and Phylogenetic Studies (128 papers), Microbial Community Ecology and Physiology (103 papers) and Polar Research and Ecology (18 papers). Hong‐Can Liu is often cited by papers focused on Genomics and Phylogenetic Studies (128 papers), Microbial Community Ecology and Physiology (103 papers) and Polar Research and Ecology (18 papers). Hong‐Can Liu collaborates with scholars based in China, Austria and Germany. Hong‐Can Liu's co-authors include Yu‐Guang Zhou, Yu‐Hua Xin, De-Chao Zhang, Franz Schinner, Rosa Margesin, Zhi‐Pei Liu, Pei-Jin Zhou, Ying Liu, Jianli Zhang and Zhi-Ping Zhong and has published in prestigious journals such as Frontiers in Microbiology, Materials and INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY.

In The Last Decade

Hong‐Can Liu

130 papers receiving 2.0k citations

Peers

Hong‐Can Liu
Comparison fields: 5 of 93
  • Molecular Biology 1.6k
  • Ecology 1.3k
  • Plant Science 355
  • Biotechnology 289
  • Pharmacology 166
Replace So-Jung Kang with:
So-Jung Kang South Korea
Sooyeon Park South Korea
Nimaichand Salam China
Mareike Jogler Germany
Yochan Joung South Korea
Shih-Yao Lin Taiwan
Kai Lou China
Jian‐Yu Jiao China
Sandra Wiegand Germany
Maria del Carmen Montero‐Calasanz United Kingdom
So-Jung Kang South Korea View profile →
Citations per field, relative to Hong‐Can Liu
Hong‐Can Liu · 1×
Citations per year, relative to Hong‐Can Liu
Hong‐Can Liu · 1×

Countries citing papers authored by Hong‐Can Liu

Since Specialization
Citations

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

Fields of papers citing papers by Hong‐Can Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hong‐Can Liu. 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 Hong‐Can Liu. The network helps show where Hong‐Can Liu may publish in the future.

Co-authorship network of co-authors of Hong‐Can Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Hong‐Can Liu. A scholar is included among the top collaborators of Hong‐Can Liu 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 Hong‐Can Liu. Hong‐Can Liu 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
# Work Indexed citations
1 1
2 1
3 9
4 34
5 2
6 7
7 1
8 24
9 5
10 12
11 6
12 17
13 17
14 18
15 29
16 11
17 12
18 10
19 15
20 70

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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