Lu Jiang

4.0k total citations
45 papers, 814 citations indexed

About

Lu Jiang is a scholar working on Molecular Biology, Hematology and Epidemiology. According to data from OpenAlex, Lu Jiang has authored 45 papers receiving a total of 814 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 13 papers in Hematology and 9 papers in Epidemiology. Recurrent topics in Lu Jiang's work include Acute Myeloid Leukemia Research (13 papers), Liver Disease Diagnosis and Treatment (6 papers) and Cancer Genomics and Diagnostics (5 papers). Lu Jiang is often cited by papers focused on Acute Myeloid Leukemia Research (13 papers), Liver Disease Diagnosis and Treatment (6 papers) and Cancer Genomics and Diagnostics (5 papers). Lu Jiang collaborates with scholars based in China, United States and Belgium. Lu Jiang's co-authors include Bernd Schnabl, Yi Duan, Peter Stärkel, Juan G. Abraldeṣ, Xin Tu, Sai‐Juan Chen, Yanhan Wang, Bing Chen, Huikuan Chu and Xue‐Ping Li and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Lu Jiang

42 papers receiving 805 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lu Jiang China 14 446 228 127 109 108 45 814
Xiaoping Liu China 18 317 0.7× 248 1.1× 134 1.1× 35 0.3× 60 0.6× 78 936
Timothy L. Zisman United States 13 482 1.1× 383 1.7× 236 1.9× 73 0.7× 80 0.7× 21 1.2k
Xiaoling Deng China 18 323 0.7× 118 0.5× 73 0.6× 41 0.4× 64 0.6× 65 827
Astrid Konrad Germany 18 241 0.5× 334 1.5× 88 0.7× 99 0.9× 71 0.7× 26 1.3k
Tomomi Sato Japan 16 190 0.4× 104 0.5× 104 0.8× 148 1.4× 53 0.5× 58 946
Byoung Kook Kim South Korea 20 507 1.1× 206 0.9× 43 0.3× 178 1.6× 226 2.1× 70 1.1k
Akihito Harusato Japan 20 467 1.0× 114 0.5× 90 0.7× 55 0.5× 28 0.3× 46 1.2k
Luisa Doneda Italy 21 343 0.8× 264 1.2× 37 0.3× 64 0.6× 61 0.6× 84 1.2k
Elisa Molinelli Italy 24 299 0.7× 212 0.9× 55 0.4× 87 0.8× 46 0.4× 105 1.4k
Agnieszka D. Truax United States 16 932 2.1× 127 0.6× 94 0.7× 49 0.4× 24 0.2× 25 1.3k

Countries citing papers authored by Lu Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Lu Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lu Jiang

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

All Works

20 of 20 papers shown
1.
Peng, Yueheng, Yue Yu, Lu Jiang, et al.. (2026). Disease-specific network pattern of perinatal depression revealed by Common Orthogonal Basis Extraction. Brain Research Bulletin. 234. 111719–111719.
2.
Li, Xue‐Ping, et al.. (2025). A multi-omic single-cell landscape reveals transcription and epigenetic regulatory features of t(8;21) AML. Journal of Translational Medicine. 23(1). 816–816.
4.
Jiang, Lu, Jian Zhou, Chuan Jiang, et al.. (2025). Global, Regional, and National Burden of Traumatic Brain Injury, 1990–2021: A Systematic Analysis for the Global Burden of Disease Study 2021. Journal of Neurotrauma. 42(19-20). 1805–1815. 1 indexed citations
5.
Czernuszewicz, Tomasz J., Yanhan Wang, Lu Jiang, et al.. (2024). Noninvasive Monitoring of Steatotic Liver Disease in Western Diet‐Fed Obese Mice Using Automated Ultrasound and Shear Wave Elastography. Liver International. 45(4). e16141–e16141.
6.
Li, Xue‐Ping, et al.. (2024). Integrative single-cell analysis of longitudinal t(8;21) AML reveals heterogeneous immune cell infiltration and prognostic signatures. Frontiers in Immunology. 15. 1424933–1424933. 2 indexed citations
7.
Huang, Yao‐Hui, Yuran Qiu, Qunling Zhang, et al.. (2024). Genomic and transcriptomic profiling of peripheral T cell lymphoma reveals distinct molecular and microenvironment subtypes. Cell Reports Medicine. 5(2). 101416–101416. 8 indexed citations
8.
Li, Xue‐Ping, Yuting Dai, Weina Zhang, et al.. (2023). Single-cell RNA-seq reveals novel immune-associated biomarkers for predicting prognosis in AML patients with RUNX1::RUNX1T1. International Immunopharmacology. 125(Pt B). 111178–111178. 1 indexed citations
9.
Wang, Hao, et al.. (2023). Contact dermatitis caused by prevention measures during the COVID-19 pandemic: a narrative review. Frontiers in Public Health. 11. 1189190–1189190. 1 indexed citations
10.
Chen, Xinjie, Yuting Dai, Bing Dai, et al.. (2023). Combination of eriocalyxin B and homoharringtonine exerts synergistic anti-tumor effects against t(8;21) AML. Acta Pharmacologica Sinica. 45(3). 633–645. 3 indexed citations
11.
Gao, Yan, et al.. (2022). Identification of the Thyrotropin-Releasing Hormone (TRH) as a Novel Biomarker in the Prognosis for Acute Myeloid Leukemia. Biomolecules. 12(10). 1359–1359. 7 indexed citations
12.
Li, Xue‐Ping, et al.. (2022). Integration of CD34+CD117dim population signature improves the prognosis prediction of acute myeloid leukemia. Journal of Translational Medicine. 20(1). 359–359. 5 indexed citations
13.
Niu, Q. L., Yang Shen, Hai Fang, et al.. (2021). Integration of Genomic and Transcriptomic Markers Improves the Prognosis Prediction of Acute Promyelocytic Leukemia. Clinical Cancer Research. 27(13). 3683–3694. 15 indexed citations
14.
Jiang, Lu, et al.. (2021). Down-regulation of VCAM-1 in bone mesenchymal stem cells reduces inflammatory responses and apoptosis to improve cardiac function in rat with myocardial infarction. International Immunopharmacology. 101(Pt A). 108180–108180. 10 indexed citations
15.
Jiang, Lu, Nan Wang, Yang Liu, et al.. (2021). RNA-sequencing identifies novel transcriptomic signatures in intestinal failure-associated liver disease. Journal of Pediatric Surgery. 57(9). 158–165. 10 indexed citations
16.
Jiang, Lu, Huikuan Chu, Bei Gao, et al.. (2020). Transcriptomic Profiling Identifies Novel Hepatic and Intestinal Genes Following Chronic Plus Binge Ethanol Feeding in Mice. Digestive Diseases and Sciences. 65(12). 3592–3604. 15 indexed citations
17.
Zhou, Rongrong, Cristina Llorente, Jinling Cao, et al.. (2020). Deficiency of Intestinal α1‐2‐Fucosylation Exacerbates Ethanol‐Induced Liver Disease in Mice. Alcoholism Clinical and Experimental Research. 44(9). 1842–1851. 16 indexed citations
18.
Chen, Min, Chao Chen, Junwei Sun, et al.. (2020). Noninvasive prenatal diagnosis for Duchenne muscular dystrophy based on the direct haplotype phasing. Prenatal Diagnosis. 40(8). 918–924. 7 indexed citations
19.
Lang, Sonja, Münevver Demir, Anna Martin, et al.. (2020). Intestinal Virome Signature Associated With Severity of Nonalcoholic Fatty Liver Disease. Gastroenterology. 159(5). 1839–1852. 138 indexed citations
20.
Zhou, Lin, Shuqun Zhang, Lu Jiang, et al.. (2019). The β-galactoside α2,6-sialyltranferase 1 (ST6GAL1) inhibits the colorectal cancer metastasis by stabilizing intercellular adhesion molecule-1 via sialylation. SHILAP Revista de lepidopterología. 1 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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