Andrew Jiang

719 total citations
9 papers, 172 citations indexed

About

Andrew Jiang is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Genetics. According to data from OpenAlex, Andrew Jiang has authored 9 papers receiving a total of 172 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 2 papers in Cellular and Molecular Neuroscience and 2 papers in Genetics. Recurrent topics in Andrew Jiang's work include Single-cell and spatial transcriptomics (3 papers), Mitochondrial Function and Pathology (2 papers) and Genetic and phenotypic traits in livestock (2 papers). Andrew Jiang is often cited by papers focused on Single-cell and spatial transcriptomics (3 papers), Mitochondrial Function and Pathology (2 papers) and Genetic and phenotypic traits in livestock (2 papers). Andrew Jiang collaborates with scholars based in New Zealand, China and United States. Andrew Jiang's co-authors include Russell G. Snell, Klaus Lehnert, Renée R. Handley, Linya You, Mathew D. Littlejohn, Dorian J. Garrick, N. López‐Villalobos, H. T. Blair, Mauren Jaudal and Jiangqi Wen and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and International Journal of Molecular Sciences.

In The Last Decade

Andrew Jiang

9 papers receiving 169 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andrew Jiang New Zealand 6 92 40 36 34 24 9 172
Deyong Tan China 9 196 2.1× 19 0.5× 52 1.4× 39 1.1× 24 1.0× 16 295
Jiongming Lu Switzerland 7 158 1.7× 30 0.8× 58 1.6× 20 0.6× 5 0.2× 10 299
Lucilla Pizzo United States 6 105 1.1× 68 1.7× 22 0.6× 10 0.3× 24 1.0× 11 168
Fuhai Song China 10 79 0.9× 26 0.7× 16 0.4× 10 0.3× 37 1.5× 13 193
M C Sidey United Kingdom 10 203 2.2× 24 0.6× 27 0.8× 30 0.9× 19 0.8× 12 325
Yan‐Chuang Han China 9 207 2.3× 81 2.0× 22 0.6× 31 0.9× 41 1.7× 14 299
Hantao Zhang China 10 138 1.5× 21 0.5× 8 0.2× 41 1.2× 28 1.2× 25 262
Sonia M. Vallabh United States 11 274 3.0× 32 0.8× 54 1.5× 12 0.4× 12 0.5× 20 361
John Fredy Castro-Álvarez Colombia 10 85 0.9× 27 0.7× 62 1.7× 8 0.2× 12 0.5× 18 255
Jennifer E. Neil United States 3 99 1.1× 28 0.7× 11 0.3× 37 1.1× 6 0.3× 4 154

Countries citing papers authored by Andrew Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Andrew Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrew Jiang

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

All Works

9 of 9 papers shown
1.
Jiang, Andrew, Russell G. Snell, & Klaus Lehnert. (2024). ICARUS v3, a massively scalable web server for single-cell RNA-seq analysis of millions of cells. Bioinformatics. 40(4). 3 indexed citations
2.
Jiang, Andrew, Linya You, Renée R. Handley, et al.. (2024). Single nuclei RNA-seq reveals a medium spiny neuron glutamate excitotoxicity signature prior to the onset of neuronal death in an ovine Huntington’s disease model. Human Molecular Genetics. 33(17). 1524–1539. 4 indexed citations
3.
Jiang, Andrew, Renée R. Handley, Klaus Lehnert, & Russell G. Snell. (2023). From Pathogenesis to Therapeutics: A Review of 150 Years of Huntington’s Disease Research. International Journal of Molecular Sciences. 24(16). 13021–13021. 68 indexed citations
4.
Jiang, Andrew, Klaus Lehnert, Linya You, & Russell G. Snell. (2022). ICARUS, an interactive web server for single cell RNA-seq analysis. Nucleic Acids Research. 50(W1). W427–W433. 23 indexed citations
5.
Jiang, Andrew, Linya You, Russell G. Snell, & Klaus Lehnert. (2022). Delineation of complex gene expression patterns in single cell RNA-seq data with ICARUS v2.0. NAR Genomics and Bioinformatics. 5(2). lqad032–lqad032. 5 indexed citations
6.
Jiang, Andrew, Sally-Anne Turner, Mathew D. Littlejohn, et al.. (2022). A Capra hircus chromosome 19 locus linked to milk production influences mammary conformation. Journal of Animal Science and Biotechnology. 13(1). 4–4. 4 indexed citations
7.
Jiang, Andrew, Mathew D. Littlejohn, Russell G. Snell, et al.. (2020). Genome-wide association studies of lactation yields of milk, fat, protein and somatic cell score in New Zealand dairy goats. Journal of Animal Science and Biotechnology. 11(1). 55–55. 35 indexed citations
8.
Zheng, Ruifang, Zhiwei Yin, Albert Alhatem, et al.. (2020). Epidemiologic Features of NSCLC Gene Alterations in Hispanic Patients from Puerto Rico. Cancers. 12(12). 3492–3492. 11 indexed citations
9.
Jiang, Andrew, et al.. (2019). Overexpression of Medicago MtCDFd1_1 Causes Delayed Flowering in Medicago via Repression of MtFTa1 but Not MtCO-Like Genes. Frontiers in Plant Science. 10. 1148–1148. 19 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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2026