Lingyan Jiang

4.2k total citations · 1 hit paper
97 papers, 3.0k citations indexed

About

Lingyan Jiang is a scholar working on Endocrinology, Food Science and Molecular Biology. According to data from OpenAlex, Lingyan Jiang has authored 97 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Endocrinology, 27 papers in Food Science and 21 papers in Molecular Biology. Recurrent topics in Lingyan Jiang's work include Escherichia coli research studies (21 papers), Salmonella and Campylobacter epidemiology (20 papers) and Vibrio bacteria research studies (15 papers). Lingyan Jiang is often cited by papers focused on Escherichia coli research studies (21 papers), Salmonella and Campylobacter epidemiology (20 papers) and Vibrio bacteria research studies (15 papers). Lingyan Jiang collaborates with scholars based in China, Australia and United States. Lingyan Jiang's co-authors include Yu‐Guo Guo, Li‐Jun Wan, Xing‐Long Wu, Weiguo Song, Feifei Cao, Zhi‐Min Cui, Guanghan Lu, Liping Jiang, L.D Zhang and Wei David Wang and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Environmental Science & Technology.

In The Last Decade

Lingyan Jiang

93 papers receiving 3.0k citations

Hit Papers

Salmonella Typhimurium reprograms macrophage metabolism v... 2021 2026 2022 2024 2021 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lingyan Jiang China 25 1.5k 882 674 391 359 97 3.0k
Lin Zhou China 33 1.2k 0.8× 474 0.5× 1.4k 2.1× 541 1.4× 240 0.7× 111 3.2k
Shiv Singh India 30 881 0.6× 438 0.5× 846 1.3× 173 0.4× 104 0.3× 62 2.3k
Seyyed Alireza Hashemi Iran 43 864 0.6× 816 0.9× 1.8k 2.6× 750 1.9× 696 1.9× 138 5.0k
Junmei Zhao China 45 4.8k 3.2× 1.1k 1.2× 1.0k 1.5× 204 0.5× 408 1.1× 139 7.9k
Helinando Pequeno de Oliveira Brazil 31 778 0.5× 933 1.1× 663 1.0× 200 0.5× 985 2.7× 175 3.1k
Jiajia Wu China 32 964 0.6× 251 0.3× 1.6k 2.3× 877 2.2× 198 0.6× 139 3.6k
Huan Liu China 33 1.1k 0.7× 339 0.4× 1.4k 2.1× 316 0.8× 389 1.1× 103 3.7k
Pranab Goswami India 36 1.3k 0.9× 226 0.3× 605 0.9× 1.6k 4.0× 249 0.7× 118 4.1k
Wenwen Li China 36 1.5k 1.0× 250 0.3× 794 1.2× 252 0.6× 368 1.0× 156 4.1k
Yongxia Wang China 39 1.1k 0.7× 317 0.4× 1.3k 2.0× 247 0.6× 468 1.3× 160 4.6k

Countries citing papers authored by Lingyan Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Lingyan Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lingyan Jiang

This figure shows the co-authorship network connecting the top 25 collaborators of Lingyan Jiang. A scholar is included among the top collaborators of Lingyan 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 Lingyan Jiang. Lingyan 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
2.
Li, Xueping, Lingyan Jiang, Le Liu, et al.. (2025). Two-component system GrpP/GrpQ promotes pathogenicity of uropathogenic Escherichia coli CFT073 by upregulating type 1 fimbria. Nature Communications. 16(1). 607–607. 5 indexed citations
3.
Li, Huiying, et al.. (2024). Shigella Senses the Environmental Cue Leucine to Promote its Virulence Gene Expression in the Colon. Journal of Molecular Biology. 436(22). 168798–168798. 1 indexed citations
5.
Li, Xueping, Lingyan Jiang, Si Zhang, et al.. (2024). Uropathogenic Escherichia coli Subverts Host Autophagic Defenses by Stalling Preautophagosomal Structures to Escape Lysosome Exocytosis. The Journal of Infectious Diseases. 230(3). e548–e558. 1 indexed citations
6.
Yan, Xiaolin, et al.. (2024). Xylose utilization promotes Salmonella replication within macrophages and systemic infection in mice. Virulence. 15(1). 2435381–2435381.
7.
Jiang, Lingyan, et al.. (2023). PEEP titration by EIT strategies for patients with ARDS: A systematic review and meta-analysis. Medicina Intensiva. 47(7). 383–390. 7 indexed citations
8.
Liu, Bin, Lingyan Jiang, Yutao Liu, et al.. (2023). Enterohaemorrhagic E. coli utilizes host- and microbiota-derived L-malate as a signaling molecule for intestinal colonization. Nature Communications. 14(1). 7227–7227. 10 indexed citations
9.
Yang, Bin, Shuangshuang Ma, Xiaolin Yan, et al.. (2023). Lactate promotes Salmonella intracellular replication and systemic infection via driving macrophage M2 polarization. Microbiology Spectrum. 11(6). e0225323–e0225323. 9 indexed citations
10.
Li, Wanwu, et al.. (2023). The LysR-Type Transcription Regulator YhjC Promotes the Systemic Infection of Salmonella Typhimurium in Mice. International Journal of Molecular Sciences. 24(2). 1302–1302. 1 indexed citations
11.
Jiang, Lingyan, Wanwu Li, Shuai Ma, et al.. (2023). Nitric oxide is a host cue for Salmonella Typhimurium systemic infection in mice. Communications Biology. 6(1). 501–501. 9 indexed citations
12.
Wang, Xinyue, Qian Yang, Xiaolin Yan, et al.. (2022). Collaborative Action of Microglia and Astrocytes Mediates Neutrophil Recruitment to the CNS to Defend against Escherichia coli K1 Infection. International Journal of Molecular Sciences. 23(12). 6540–6540. 13 indexed citations
13.
Wang, Jingting, Shuai Ma, Wanwu Li, et al.. (2021). Salmonella enterica Serovar Typhi Induces Host Metabolic Reprogramming to Increase Glucose Availability for Intracellular Replication. International Journal of Molecular Sciences. 22(18). 10003–10003. 12 indexed citations
14.
Jiang, Lingyan, Peisheng Wang, Xiaorui Song, et al.. (2021). Salmonella Typhimurium reprograms macrophage metabolism via T3SS effector SopE2 to promote intracellular replication and virulence. Nature Communications. 12(1). 879–879. 278 indexed citations breakdown →
15.
16.
Zhang, Huan, Xiaorui Song, Peisheng Wang, et al.. (2019). YaeB, Expressed in Response to the Acidic pH in Macrophages, Promotes Intracellular Replication and Virulence of Salmonella Typhimurium. International Journal of Molecular Sciences. 20(18). 4339–4339. 8 indexed citations
17.
Zhang, Huan, Xiaorui Song, Runxia Lv, et al.. (2019). The LysR‐type transcriptional regulator STM0030 contributes to Salmonella Typhimurium growth in macrophages and virulence in mice. Journal of Basic Microbiology. 59(11). 1143–1153. 9 indexed citations
18.
Liu, Qin, Pandao Liu, Pengfei Guo, et al.. (2019). Cloning of Cassava Phenylalanine Ammonia Lyase Genes and Their Responses to Low Temperature Stress. Redai zuowu xuebao. 40(3). 483. 2 indexed citations
19.
Song, Xiaorui, Xiaoqian Liu, Jian Yuan, et al.. (2019). The putative transcriptional regulator STM14_3563 facilitates Salmonella Typhimurium pathogenicity by activating virulence-related genes. International Microbiology. 23(3). 381–390. 3 indexed citations
20.
Jiang, Lingyan. (2006). Application of Ultrasound in Biotechnology. Letters in Biotechnology. 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026