Le Kang

451 papers receiving 13.2k citations

Le Kang's Hit Papers

Grassland ecosystems in China: review of current knowledge and research advancement 2007 · 528 citations
5280+6+12Years since publication100200300400500

Peers

Le Kang
Comparison fields: 5 of 183
  • Insect Science 3.9k
  • Aging 184
  • Cellular and Molecular Neuroscience 1.8k
  • Ecology, Evolution, Behavior and Systematics 1.9k
  • Plant Science 3.2k
Replace John G. Oakeshott with:
John G. Oakeshott Australia
Federica Di Palma United Kingdom
Xian Adiconis United States
Manfred Grabherr Sweden
Dawn Thompson United States
Raktima Raychowdhury United States
Nick Rhind United States
Andreas Gnirke United States
Paul McGettigan Ireland
Gordon Blackshields Ireland
Le Kang relative to John G. Oakeshott Australia John G. Oakeshott's profile →
Citations per field
00.5×2.7×
John G. Oakeshott · 1×
Citations per year

Countries citing papers authored by Le Kang

Since Specialization
Citations

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

Fields of papers citing papers by Le Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 472 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Grassland ecosystems in China: review of current knowledge and research advancement
Hit paper breakdown →
2007528
2 2011214
3 2010203
4 2012191
5 2018188
6 2013182
7 2012176
8 2008162
9 2009162
10 2004159
11 2009157
12 2014154
13 2007148
14 2011145
15 2010139
16 2018139
17 2020135
18 2015129
19 2007128
20 2017126

About Le Kang

Le Kang is a scholar working on Molecular Biology, Insect Science, Plant Science, Ecology, Evolution, Behavior and Systematics and Genetics, having authored 472 papers that have together received 13.3k indexed citations. Recurring topics across this work include Insect and Arachnid Ecology and Behavior (60 papers), Insect-Plant Interactions and Control (58 papers), Neurobiology and Insect Physiology Research (56 papers), Physiological and biochemical adaptations (51 papers), Plant and animal studies (42 papers), Plant Parasitism and Resistance (38 papers), Orthoptera Research and Taxonomy (28 papers) and Insect Resistance and Genetics (25 papers). The work is most often cited by research in Insect Science (3.9k citations), Aging (184 citations), Cellular and Molecular Neuroscience (1.8k citations), Ecology, Evolution, Behavior and Systematics (1.9k citations) and Plant Science (3.2k citations). Le Kang has collaborated with scholars based in China, United States and Kazakhstan. Frequent co-authors include Xianhui Wang, Bing Chen, Pengcheng Yang, Jianing Wei, Feng Jiang, Zongyuan Ma, Li‐Hua Huang, Osbert Jianxin Sun, Shuguang Hao and Xingguo Han. Their work appears in journals such as Insect Science, Proceedings of the National Academy of Sciences, Insect Biochemistry and Molecular Biology, PLoS ONE and PLoS Genetics.

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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