Ji Huang

1.2k total citations
39 papers, 919 citations indexed

About

Ji Huang is a scholar working on Molecular Biology, Plant Science and Cellular and Molecular Neuroscience. According to data from OpenAlex, Ji Huang has authored 39 papers receiving a total of 919 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 12 papers in Plant Science and 5 papers in Cellular and Molecular Neuroscience. Recurrent topics in Ji Huang's work include Plant Molecular Biology Research (9 papers), Neuroscience and Neuropharmacology Research (5 papers) and CRISPR and Genetic Engineering (4 papers). Ji Huang is often cited by papers focused on Plant Molecular Biology Research (9 papers), Neuroscience and Neuropharmacology Research (5 papers) and CRISPR and Genetic Engineering (4 papers). Ji Huang collaborates with scholars based in United States, China and Taiwan. Ji Huang's co-authors include Karen McGinnis, Olli Silvennoinen, Peter Canoll, Joan Levy, Annemarie Honegger, Linda A. Cannizzaro, Gilad Barnea, B. Morse, Teresa Druck and Thelma F. Madzima and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Ji Huang

37 papers receiving 901 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ji Huang United States	16	559	362	109	73	62	39	919
Makoto Hashimoto Japan	17	693 1.2×	437 1.2×	95 0.9×	72 1.0×	59 1.0×	43	1.2k
Teresa Golden United States	14	689 1.2×	280 0.8×	57 0.5×	52 0.7×	41 0.7×	19	965
Laurent Paquereau France	18	582 1.0×	132 0.4×	91 0.8×	82 1.1×	113 1.8×	39	931
Imtiaz Ahmed Khan Pakistan	17	393 0.7×	770 2.1×	169 1.6×	24 0.3×	60 1.0×	74	1.2k
J. L. Schwartz Canada	16	557 1.0×	133 0.4×	226 2.1×	31 0.4×	75 1.2×	28	904
Isabel Lam United States	10	843 1.5×	211 0.6×	174 1.6×	138 1.9×	123 2.0×	12	1.1k
Farida Begum United Kingdom	15	577 1.0×	129 0.4×	69 0.6×	248 3.4×	88 1.4×	43	967
Stefan Bäckström Sweden	13	429 0.8×	213 0.6×	75 0.7×	38 0.5×	17 0.3×	14	640
Lucien C.D. Gibson United Kingdom	19	1.2k 2.1×	307 0.8×	48 0.4×	139 1.9×	124 2.0×	23	1.4k
Sang Wook Park South Korea	12	542 1.0×	227 0.6×	23 0.2×	41 0.6×	37 0.6×	40	928

Countries citing papers authored by Ji Huang

Since Specialization

Citations

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

Fields of papers citing papers by Ji Huang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ji Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Ji Huang. A scholar is included among the top collaborators of Ji Huang 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 Ji Huang. Ji Huang 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, Yifang, M. Yu, Yan Chen, & Ji Huang. (2025). High-density lipoprotein in cardiovascular diseases: From high quantity to high quality. Clinica Chimica Acta. 578. 120574–120574. 1 indexed citations

Huang, Ji, et al.. (2025). Model-to-crop conserved NUE Regulons enhance machine learning predictions of nitrogen use efficiency. The Plant Cell. 37(5). 1 indexed citations

Huang, Ji, Baoying Guo, Lihua Jiang, et al.. (2023). The Complete Mitochondrial Genome of Mytilisepta virgata (Mollusca: Bivalvia), Novel Gene Rearrangements, and the Phylogenetic Relationships of Mytilidae. Genes. 14(4). 910–910. 9 indexed citations

Li, Jiji, Ji Huang, Yingying Ye, et al.. (2023). Assessing the Impact of Microplastic Filaments Contaminated with PAHs on Mytilus coruscus Larvae through Surface Contact. Toxics. 11(7). 554–554. 3 indexed citations

Ye, Yingying, Ji Huang, Baoying Guo, et al.. (2023). Hox gene clusters in the mussel Mytilus coruscus: Implications for bivalves' evolution. Ecological Indicators. 154. 110810–110810. 1 indexed citations

Li, Siyuan, Ji Huang, Jianyu He, et al.. (2023). Morphological change and differential proteomics analysis of gill in Mytilus coruscus under starvation. Frontiers in Physiology. 14. 1150521–1150521. 6 indexed citations

Liu, Chang, et al.. (2022). A Mitophagy-Related Gene Signature for Subtype Identification and Prognosis Prediction of Hepatocellular Carcinoma. International Journal of Molecular Sciences. 23(20). 12123–12123. 19 indexed citations

Huang, Ji, et al.. (2022). The feedback loop of METTL14 and USP38 regulates cell migration, invasion and EMT as well as metastasis in bladder cancer. PLoS Genetics. 18(10). e1010366–e1010366. 23 indexed citations

Brooks, Matthew D., Manpreet S. Katari, José M. Álvarez, et al.. (2020). ConnecTF: A platform to integrate transcription factor–gene interactions and validate regulatory networks. PLANT PHYSIOLOGY. 185(1). 49–66. 38 indexed citations

10.

Huang, Ji, et al.. (2017). Construction and Optimization of a Large Gene Coexpression Network in Maize Using RNA-Seq Data. PLANT PHYSIOLOGY. 175(1). 568–583. 41 indexed citations

11.

Huang, Ji, et al.. (2016). Epigenetic Control of Gene Expression in Maize. International review of cell and molecular biology. 328. 25–48. 15 indexed citations

12.

Li, Qing, Steven R. Eichten, Peter J. Hermanson, et al.. (2014). Genetic Perturbation of the Maize Methylome. The Plant Cell. 26(12). 4602–4616. 139 indexed citations

13.

Madzima, Thelma F., Ji Huang, & Karen McGinnis. (2014). Chromatin structure and gene expression changes associated with loss of MOP1 activity inZea mays. Epigenetics. 9(7). 1047–1059. 15 indexed citations

14.

Huang, Guoping, Jing Li, & Ji Huang. (1995). [Application of the wave-speed theory to analysis of mechanical mechanism for configuration of F-V curve in normal humans].. PubMed. 26(3). 304–10.

15.

Su, Ting‐Li, Ting‐Chao Chou, Ji Young Kim, et al.. (1995). 9-Substituted acridine derivatives with long half-life and potent antitumor activity: synthesis and structure-activity relationships. Journal of Medicinal Chemistry. 38(17). 3226–3235. 71 indexed citations

16.

Huang, Ji & Marc A. Walters. (1993). The spectroscopic and redox characterization of hydrogen-bonding effects in molybdenum trispyrazolyl borate complexes.. Journal of Inorganic Biochemistry. 51(1-2). 24–24. 4 indexed citations

17.

Huang, Ji. (1984). Accumulation of amino acid and peptide by choroid plexus of the aging rat. AGE. 7(3). 63–65. 8 indexed citations

18.

Huang, Ji. (1982). Accumulation of peptide Tyr-d-Ala-Gly by choroid plexus during ventriculocisternal perfusion of rat brain. Neurochemical Research. 7(12). 1541–1548. 12 indexed citations

19.

Huang, Ji. (1981). Accumulation of peptides by choroid plexus in vitro: Tyr-d-Ala-Gly as a model. Neurochemical Research. 6(6). 681–689. 10 indexed citations

20.

Huang, Ji, et al.. (1968). Polyamide Layer Chromatography of Organophosphorus Pesticides. Journal of Pharmaceutical Sciences. 57(9). 1620–1621. 2 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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