Hong‐Hu Meng

1.3k citations
54 papers · 1.0k · h-index 21

Impact in

Papers in

Hong‐Hu Meng

52 papers receiving 993 citations

Peers

Hong‐Hu Meng
Comparison fields: 5 of 76
  • Ecological Modeling 126
  • Ecology, Evolution, Behavior and Systematics 436
  • Nature and Landscape Conservation 142
  • Genetics 282
  • Molecular Biology 440
Replace K. M. Wong with:
K. M. Wong Singapore
Hugh Cross United States
Camille Pitteloud Switzerland
Jialiang Li China
John D. McVay United States
Thomas Raus Germany
Laura Parducci Sweden
Helena Wirta Finland
Yoshiaki Tsuda Japan
Hong‐Hu Meng relative to K. M. Wong Singapore K. M. Wong's profile →
Citations per field
00.5×3.3×
K. M. Wong · 1×
Citations per year

Countries citing papers authored by Hong‐Hu Meng

Since Specialization
Citations

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

Fields of papers citing papers by Hong‐Hu Meng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014103
2 201783
3 201575
4 201455
5 201352
6 201845
7 201843
8 201141
9 202036
10 201834
11 201034
12 202131
13 201427
14 201526
15 202026
16 201926
17 202025
18 202324
19 202224
20 202222

About Hong‐Hu Meng

Hong‐Hu Meng is a scholar working on Molecular Biology, Ecology, Evolution, Behavior and Systematics, Genetics, Atomic and Molecular Physics, and Optics and Materials Chemistry, having authored 54 papers that have together received 1.0k indexed citations. Recurring topics across this work include Plant and Fungal Species Descriptions (16 papers), Plant Diversity and Evolution (16 papers), Genetic diversity and population structure (13 papers), Plant and animal studies (9 papers), ZnO doping and properties (8 papers), Species Distribution and Climate Change (7 papers), Ecology and Vegetation Dynamics Studies (7 papers) and Magnetic properties of thin films (7 papers). The work is most often cited by research in Ecological Modeling (126 citations), Ecology, Evolution, Behavior and Systematics (436 citations), Nature and Landscape Conservation (142 citations), Genetics (282 citations) and Molecular Biology (440 citations). Hong‐Hu Meng has collaborated with scholars based in China, Switzerland and United States. Frequent co-authors include Mingli Zhang, Jie Li, Jianfeng Huang, Yi‐Gang Song, Zhe‐Kun Zhou, Tao Su, Xiao‐Long Jiang, Xiaoyang Gao, Shi‐Shun Zhou and Lang Li. Their work appears in journals such as Molecular Phylogenetics and Evolution, Plant Diversity, Journal of Systematics and Evolution, Diversity and Applied Physics Letters.

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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