Huhe

520 total citations · 1 hit paper
8 papers, 402 citations indexed

About

Huhe is a scholar working on Soil Science, Molecular Biology and Ecology. According to data from OpenAlex, Huhe has authored 8 papers receiving a total of 402 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Soil Science, 4 papers in Molecular Biology and 3 papers in Ecology. Recurrent topics in Huhe's work include Soil Carbon and Nitrogen Dynamics (3 papers), Microbial Community Ecology and Physiology (3 papers) and Composting and Vermicomposting Techniques (2 papers). Huhe is often cited by papers focused on Soil Carbon and Nitrogen Dynamics (3 papers), Microbial Community Ecology and Physiology (3 papers) and Composting and Vermicomposting Techniques (2 papers). Huhe collaborates with scholars based in China, Japan and Estonia. Huhe's co-authors include Yunxiang Cheng, Xianjiang Chen, Fujiang Hou, Chunxue Xu, Fanlin Wu, Chao Jiang, Hiroo Uchiyama, Toshiaki Nakajima, Ye Yuan and Xiaowen Zhang and has published in prestigious journals such as PLoS ONE, The Science of The Total Environment and Applied and Environmental Microbiology.

In The Last Decade

Huhe

8 papers receiving 401 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Microbial co-occurrence networks driven by low-abundance microbial taxa during composting dominate lignocellulose degradation

2022 118 citations Chunxue Xu, Fanlin Wu et al. The Science of The Total Environment profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Huhe China	7	211	132	126	85	71	8	402
Adrián Langarica-Fuentes United Kingdom	10	156 0.7×	171 1.3×	120 1.0×	114 1.3×	104 1.5×	12	504
Shahid Nadeem Norway	11	208 1.0×	89 0.7×	105 0.8×	48 0.6×	62 0.9×	38	422
Diwen Chen China	10	217 1.0×	252 1.9×	151 1.2×	56 0.7×	78 1.1×	21	516
Huizhen Qiu China	12	258 1.2×	319 2.4×	171 1.4×	103 1.2×	110 1.5×	31	633
Jianli Ding China	8	293 1.4×	224 1.7×	158 1.3×	54 0.6×	59 0.8×	13	438
Likun Sun China	12	121 0.6×	112 0.8×	162 1.3×	76 0.9×	104 1.5×	22	403
Andrea Rangger Austria	7	298 1.4×	167 1.3×	183 1.5×	93 1.1×	78 1.1×	7	517
Micaela Tosi Canada	11	207 1.0×	299 2.3×	129 1.0×	54 0.6×	89 1.3×	19	536
Wenchong Shi China	8	319 1.5×	245 1.9×	194 1.5×	81 1.0×	75 1.1×	17	602

Countries citing papers authored by Huhe

Since Specialization

Citations

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

Fields of papers citing papers by Huhe

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Huhe

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

All Works

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8 of 8 papers shown

1.

Xu, Chunxue, et al.. (2022). Microbial co-occurrence networks driven by low-abundance microbial taxa during composting dominate lignocellulose degradation. The Science of The Total Environment. 845. 157197–157197. 118 indexed citations breakdown →

2.

Yuan, Ye, et al.. (2022). Comparison of the Responses of Soil Fungal Community to Straw, Inorganic Fertilizer, and Compost in a Farmland in the Loess Plateau. Microbiology Spectrum. 10(1). e0223021–e0223021. 20 indexed citations

3.

Huhe, et al.. (2017). Bacterial and fungal communities and contribution of physicochemical factors during cattle farm waste composting. MicrobiologyOpen. 6(6). 70 indexed citations

4.

Huhe, et al.. (2017). Bacterial and Fungal Community Structures in Loess Plateau Grasslands with Different Grazing Intensities. Frontiers in Microbiology. 8. 606–606. 157 indexed citations

5.

Huhe, et al.. (2016). Microbial Nitrogen-Cycle Gene Abundance in Soil of Cropland Abandoned for Different Periods. PLoS ONE. 11(5). e0154697–e0154697. 10 indexed citations

6.

Huhe, et al.. (2014). Effect of Abandonment on Diversity and Abundance of Free-Living Nitrogen-Fixing Bacteria and Total Bacteria in the Cropland Soils of Hulun Buir, Inner Mongolia. PLoS ONE. 9(9). e106714–e106714. 17 indexed citations

7.

Huhe, et al.. (2013). Dechlorination of Chloral Hydrate Is Influenced by the Biofilm Adhesin Protein LapA in Pseudomonas putida LF54. Applied and Environmental Microbiology. 79(13). 4166–4169. 1 indexed citations

8.

Huhe, Nobuhiko Nomura, Toshiaki Nakajima, & Hiroo Uchiyama. (2011). Assimilative and co-metabolic degradation of chloral hydrate by bacteria and their bioremediation potential. Journal of Bioscience and Bioengineering. 111(4). 448–453. 9 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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