Yancong Zhang

8.2k total citations · 5 hit papers
22 papers, 3.2k citations indexed

About

Yancong Zhang is a scholar working on Molecular Biology, Plant Science and Ecology. According to data from OpenAlex, Yancong Zhang has authored 22 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 6 papers in Plant Science and 4 papers in Ecology. Recurrent topics in Yancong Zhang's work include Genomics and Phylogenetic Studies (9 papers), Gut microbiota and health (8 papers) and Microbial Community Ecology and Physiology (4 papers). Yancong Zhang is often cited by papers focused on Genomics and Phylogenetic Studies (9 papers), Gut microbiota and health (8 papers) and Microbial Community Ecology and Physiology (4 papers). Yancong Zhang collaborates with scholars based in United States, China and United Kingdom. Yancong Zhang's co-authors include Curtis Huttenhower, Eric A. Franzosa, George Weingart, Lauren J. McIver, Kelsey N. Thompson, Long H. Nguyen, Moreno Zolfo, Nicola Segata, Francesco Asnicar and Aitor Blanco‐Míguez and has published in prestigious journals such as Cell, Nature Medicine and Nature Biotechnology.

In The Last Decade

Yancong Zhang

19 papers receiving 3.2k citations

Hit Papers

align trajectories sort by overperformance

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.

Multivariable association discovery in population-scale meta-omics studies

2021 1.3k citations Himel Mallick, Ali Rahnavard et al. PLoS Computational Biology profile →
Integrating taxonomic, functional, and strain-level profiling of diverse microbial communities with bioBakery 3

2021 1.2k citations Francesco Beghini, Lauren J. McIver et al. eLife profile →
A bacterial bile acid metabolite modulates Treg activity through the nuclear hormone receptor NR4A1

2021 183 citations Wei Li, Saiyu Hang et al. Cell Host & Microbe profile →
Root-secreted bitter triterpene modulates the rhizosphere microbiota to improve plant fitness

2022 126 citations Yang Zhong, Weibing Xun et al. Nature Plants profile →
Gut microbial metabolism of 5-ASA diminishes its clinical efficacy in inflammatory bowel disease

2023 95 citations Raaj S. Mehta, Jared R. Mayers et al. Nature Medicine profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yancong Zhang United States	12	2.2k	537	447	350	349	22	3.2k
Ali Rahnavard United States	12	2.5k 1.2×	618 1.2×	488 1.1×	370 1.1×	374 1.1×	32	3.5k
George Weingart United States	5	2.9k 1.3×	696 1.3×	528 1.2×	462 1.3×	430 1.2×	5	4.1k
Lauren J. McIver United States	15	2.9k 1.4×	715 1.3×	520 1.2×	422 1.2×	441 1.3×	32	4.2k
Manimozhiyan Arumugam Denmark	21	2.6k 1.2×	590 1.1×	471 1.1×	434 1.2×	388 1.1×	41	3.7k
Pajau Vangay United States	14	2.2k 1.0×	693 1.3×	611 1.4×	481 1.4×	284 0.8×	24	3.3k
Bryan D. Merrill United States	16	2.2k 1.0×	677 1.3×	493 1.1×	416 1.2×	190 0.5×	24	3.0k
Paolo Manghi Italy	13	2.2k 1.0×	384 0.7×	445 1.0×	434 1.2×	241 0.7×	20	3.0k
Andrew Maltez Thomas Brazil	17	1.8k 0.9×	403 0.8×	340 0.8×	310 0.9×	274 0.8×	28	2.9k
Galeb Abu-Ali United States	22	2.4k 1.1×	623 1.2×	705 1.6×	420 1.2×	284 0.8×	26	3.6k
Francesco Beghini Italy	12	2.2k 1.0×	365 0.7×	479 1.1×	398 1.1×	251 0.7×	13	3.0k

Countries citing papers authored by Yancong Zhang

Since Specialization

Citations

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

Fields of papers citing papers by Yancong Zhang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yancong Zhang

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Zhang, Yancong, et al.. (2025). EchoMamba: A new Mamba model for fast and efficient hyperspectral image classification. PLoS ONE. 20(8). e0330678–e0330678.

Zhang, Yancong, Amrisha Bhosle, Sena Bae, et al.. (2025). Predicting functions of uncharacterized gene products from microbial communities. Nature Biotechnology.

Bhosle, Amrisha, Sena Bae, Yancong Zhang, et al.. (2024). Integrated annotation prioritizes metabolites with bioactivity in inflammatory bowel disease. Molecular Systems Biology. 20(4). 338–361. 3 indexed citations

Zhang, Yancong, Long Miao, Yuan Rao, et al.. (2024). Accurate and fast identification of transgenic soybean plants by boosting methods with a handheld miniature spectrometer. Journal of Food Composition and Analysis. 137. 106873–106873.

Mehta, Raaj S., Jared R. Mayers, Yancong Zhang, et al.. (2023). Gut microbial metabolism of 5-ASA diminishes its clinical efficacy in inflammatory bowel disease. Nature Medicine. 29(3). 700–709. 95 indexed citations breakdown →

Wang, Ya, Kelsey N. Thompson, Yan Yan, et al.. (2023). RNA-based amplicon sequencing is ineffective in measuring metabolic activity in environmental microbial communities. Microbiome. 11(1). 131–131. 33 indexed citations

Yao, Lina, Gabriel D. D’Agostino, Jinseok Park, et al.. (2022). A biosynthetic pathway for the selective sulfonation of steroidal metabolites by human gut bacteria. Nature Microbiology. 7(9). 1404–1418. 54 indexed citations

Mehta, Raaj S., Jared R. Mayers, Yancong Zhang, et al.. (2022). 549: GUT MICROBIAL METABOLISM OF 5-ASA DIMINISHES ITS CLINICAL EFFICACY IN IBD. Gastroenterology. 162(7). S–130. 1 indexed citations

Zhong, Yang, Weibing Xun, Xiaohan Wang, et al.. (2022). Root-secreted bitter triterpene modulates the rhizosphere microbiota to improve plant fitness. Nature Plants. 8(8). 887–896. 126 indexed citations breakdown →

10.

Rao, Chitong, Katharine Z. Coyte, Yancong Zhang, et al.. (2022). Strain-level fitness in the gut microbiome is an emergent property of glycans and a single metabolite. Cell. 185(3). 513–529.e21. 53 indexed citations

11.

Zhang, Yancong, Kelsey N. Thompson, Curtis Huttenhower, & Eric A. Franzosa. (2021). Statistical approaches for differential expression analysis in metatranscriptomics. Bioinformatics. 37(Supplement_1). i34–i41. 32 indexed citations

12.

Beghini, Francesco, Lauren J. McIver, Aitor Blanco‐Míguez, et al.. (2021). Integrating taxonomic, functional, and strain-level profiling of diverse microbial communities with bioBakery 3. eLife. 10. 1173 indexed citations breakdown →

13.

Mallick, Himel, Ali Rahnavard, Lauren J. McIver, et al.. (2021). Multivariable association discovery in population-scale meta-omics studies. PLoS Computational Biology. 17(11). e1009442–e1009442. 1302 indexed citations breakdown →

14.

Li, Wei, Saiyu Hang, Yuan Fang, et al.. (2021). A bacterial bile acid metabolite modulates Treg activity through the nuclear hormone receptor NR4A1. Cell Host & Microbe. 29(9). 1366–1377.e9. 183 indexed citations breakdown →

15.

Wang, Ya, Yan Yan, Kelsey N. Thompson, et al.. (2021). Whole microbial community viability is not quantitatively reflected by propidium monoazide sequencing approach. Microbiome. 9(1). 17–17. 52 indexed citations

16.

Zhang, Yancong, et al.. (2017). Bidirectional solid fermentation using Trametes robiniophila Murr. for enhancing efficacy and reducing toxicity of rhubarb ( Rheum palmatum L.). Journal of Traditional Chinese Medical Sciences. 4(3). 306–313. 11 indexed citations

17.

Zhang, Yancong, Yongliang Li, Ruirui Shi, et al.. (2017). Generation of tooth–periodontium complex structures using high-odontogenic potential dental epithelium derived from mouse embryonic stem cells. Stem Cell Research & Therapy. 8(1). 141–141. 12 indexed citations

18.

Liu, Tengfei, Weiwei Ma, Yancong Zhang, et al.. (2017). Illumina MiSeq sequencing investigation of Chanhua (Cordyceps cicadae Shing) fungal community structures in different regions. Journal of Traditional Chinese Medical Sciences. 5(2). 206–212. 4 indexed citations

19.

Zhang, Yancong, Yan Zhang, Bowen Zhang, et al.. (2015). Genome sequences of two closely related strains of Escherichia coli K-12 GM4792. Standards in Genomic Sciences. 10(1). 125–125. 1 indexed citations

20.

Zhang, Yancong & Kui Lin. (2015). Phylogeny Inference of Closely Related Bacterial Genomes: Combining the Features of Both Overlapping Genes and Collinear Genomic Regions. Evolutionary Bioinformatics. 11s2(Suppl 2). 1–9. 8 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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