Ling‐Fen Kong

457 total citations
17 papers, 318 citations indexed

About

Ling‐Fen Kong is a scholar working on Ecology, Molecular Biology and Pollution. According to data from OpenAlex, Ling‐Fen Kong has authored 17 papers receiving a total of 318 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Ecology, 7 papers in Molecular Biology and 4 papers in Pollution. Recurrent topics in Ling‐Fen Kong's work include Microbial Community Ecology and Physiology (10 papers), Genomics and Phylogenetic Studies (5 papers) and Methane Hydrates and Related Phenomena (4 papers). Ling‐Fen Kong is often cited by papers focused on Microbial Community Ecology and Physiology (10 papers), Genomics and Phylogenetic Studies (5 papers) and Methane Hydrates and Related Phenomena (4 papers). Ling‐Fen Kong collaborates with scholars based in China, United States and Denmark. Ling‐Fen Kong's co-authors include Zhang-Xian Xie, Da‐Zhi Wang, Yuanyuan Li, Lin Lin, Pengfei Wu, Lusheng Zhu, Jun Wang, Shaoyuan Zhu, Hao Zhang and Hui Xie and has published in prestigious journals such as The Science of The Total Environment, Applied and Environmental Microbiology and International Journal of Molecular Sciences.

In The Last Decade

Ling‐Fen Kong

16 papers receiving 318 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ling‐Fen Kong China 10 169 120 98 52 42 17 318
Megan L. Larsen United States 7 146 0.9× 93 0.8× 56 0.6× 33 0.6× 30 0.7× 7 281
Alessandro Ciro Rappazzo Italy 12 152 0.9× 54 0.5× 106 1.1× 24 0.5× 27 0.6× 34 339
Mercedes Martín‐Cereceda Spain 12 169 1.0× 151 1.3× 123 1.3× 89 1.7× 43 1.0× 25 357
Jianrong Huang China 10 206 1.2× 166 1.4× 54 0.6× 64 1.2× 21 0.5× 26 391
Marco Campos Chile 12 109 0.6× 64 0.5× 152 1.6× 27 0.5× 41 1.0× 29 360
AJ McCarthy United Kingdom 4 212 1.3× 92 0.8× 245 2.5× 29 0.6× 44 1.0× 6 336
Shahjahon Begmatov Russia 9 129 0.8× 70 0.6× 110 1.1× 13 0.3× 38 0.9× 25 272
Yukiyo Fukunaga Japan 7 235 1.4× 211 1.8× 96 1.0× 43 0.8× 22 0.5× 8 399
Congmin Zhu China 8 205 1.2× 132 1.1× 59 0.6× 89 1.7× 18 0.4× 15 359
Annelie Wendeberg Germany 9 199 1.2× 75 0.6× 57 0.6× 105 2.0× 13 0.3× 11 310

Countries citing papers authored by Ling‐Fen Kong

Since Specialization
Citations

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

Fields of papers citing papers by Ling‐Fen Kong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ling‐Fen Kong. 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 Ling‐Fen Kong. The network helps show where Ling‐Fen Kong may publish in the future.

Co-authorship network of co-authors of Ling‐Fen Kong

This figure shows the co-authorship network connecting the top 25 collaborators of Ling‐Fen Kong. A scholar is included among the top collaborators of Ling‐Fen Kong 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 Ling‐Fen Kong. Ling‐Fen Kong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
2.
Kong, Ling‐Fen, et al.. (2024). A comparative review of biohydrogen and biomethane production from biowaste through photo-fermentation. Green Chemistry. 27(5). 1331–1347. 10 indexed citations
3.
Xie, Zhang-Xian, Ling‐Fen Kong, Yingbao Gai, et al.. (2022). Metabolic tuning of a stable microbial community in the surface oligotrophic Indian Ocean revealed by integrated meta-omics. Marine Life Science & Technology. 4(2). 277–290. 9 indexed citations
4.
Wang, Yayu, Yingbao Gai, Guilin Liu, et al.. (2021). Metagenomic Analysis Reveals Microbial Community Structure and Metabolic Potential for Nitrogen Acquisition in the Oligotrophic Surface Water of the Indian Ocean. Frontiers in Microbiology. 12. 518865–518865. 25 indexed citations
5.
Kong, Ling‐Fen, Zhang-Xian Xie, Yanbin He, et al.. (2021). Metaproteomics Reveals Similar Vertical Distribution of Microbial Transport Proteins in Particulate Organic Matter Throughout the Water Column in the Northwest Pacific Ocean. Frontiers in Microbiology. 12. 629802–629802. 5 indexed citations
6.
Kong, Ling‐Fen, Yanbin He, Zhang-Xian Xie, et al.. (2021). Illuminating Key Microbial Players and Metabolic Processes Involved in the Remineralization of Particulate Organic Carbon in the Ocean’s Twilight Zone by Metaproteomics. Applied and Environmental Microbiology. 87(20). e0098621–e0098621. 22 indexed citations
7.
Chen, Shi, Yanbin He, Zhang-Xian Xie, et al.. (2021). Metaproteomics reveals nutrient availability shaping distinct microbial community and metabolic niche in the nutrient-depleted and replete layers of an oligotrophic euphotic zone. The Science of The Total Environment. 774. 145123–145123. 6 indexed citations
8.
Kong, Ling‐Fen, et al.. (2020). CFD Investigation of Thermal and Pressurization Performation in LHe Tank. International Journal of Engineering and Manufacturing. 10(1). 12–28. 3 indexed citations
9.
Xie, Zhang-Xian, Yanbin He, Minghua Wang, et al.. (2020). Dissecting microbial community structure and metabolic activities at an oceanic deep chlorophyll maximum layer by size-fractionated metaproteomics. Progress In Oceanography. 188. 102439–102439. 4 indexed citations
10.
Wu, Pengfei, Dongxu Li, Ling‐Fen Kong, et al.. (2019). The diversity and biogeography of microeukaryotes in the euphotic zone of the northwestern Pacific Ocean. The Science of The Total Environment. 698. 134289–134289. 49 indexed citations
11.
Li, Yuanyuan, Zhang-Xian Xie, Pengfei Wu, et al.. (2018). Bacterial Diversity and Nitrogen Utilization Strategies in the Upper Layer of the Northwestern Pacific Ocean. Frontiers in Microbiology. 9. 797–797. 34 indexed citations
12.
Kong, Ling‐Fen, Yu Zhang, Lusheng Zhu, et al.. (2018). Influence of isolated bacterial strains on the in situ biodegradation of endosulfan and the reduction of endosulfan- contaminated soil toxicity. Ecotoxicology and Environmental Safety. 160. 75–83. 16 indexed citations
13.
Chen, Feng, Minghua Wang, Hao Zhang, et al.. (2017). Metaproteomics of marine viral concentrates reveals key viral populations and abundant periplasmic proteins in the oligotrophic deep chlorophyll maximum of the South China Sea. Environmental Microbiology. 20(2). 477–491. 6 indexed citations
14.
Wang, Da‐Zhi, Ling‐Fen Kong, Yuanyuan Li, & Zhang-Xian Xie. (2016). Environmental Microbial Community Proteomics: Status, Challenges and Perspectives. International Journal of Molecular Sciences. 17(8). 1275–1275. 47 indexed citations
15.
Kong, Ling‐Fen. (2015). Appraisal methodology for shale gas projects in China. 4 indexed citations
16.
Kong, Ling‐Fen, Shaoyuan Zhu, Lusheng Zhu, et al.. (2013). Biodegradation of organochlorine pesticide endosulfan by bacterial strain Alcaligenes faecalis JBW4. Journal of Environmental Sciences. 25(11). 2257–2264. 50 indexed citations
17.
Kong, Ling‐Fen, Shaoyuan Zhu, Lusheng Zhu, et al.. (2013). Colonization of Alcaligenes faecalis strain JBW4 in natural soils and its detoxification of endosulfan. Applied Microbiology and Biotechnology. 98(3). 1407–1416. 28 indexed citations

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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