Shanming Ji

873 total citations
30 papers, 660 citations indexed

About

Shanming Ji is a scholar working on Immunology, Molecular Biology and Insect Science. According to data from OpenAlex, Shanming Ji has authored 30 papers receiving a total of 660 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Immunology, 16 papers in Molecular Biology and 10 papers in Insect Science. Recurrent topics in Shanming Ji's work include Invertebrate Immune Response Mechanisms (16 papers), Neurobiology and Insect Physiology Research (7 papers) and Insect symbiosis and bacterial influences (7 papers). Shanming Ji is often cited by papers focused on Invertebrate Immune Response Mechanisms (16 papers), Neurobiology and Insect Physiology Research (7 papers) and Insect symbiosis and bacterial influences (7 papers). Shanming Ji collaborates with scholars based in China, France and United States. Shanming Ji's co-authors include Bryan N. Danforth, Dahua Chen, Qinmiao Sun, Qingshuang Cai, Xiu-Deng Zheng, Zhongwen Xie, Chaoyi Li, Li Sun, Yangyang Zhu and Li Lin 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

Shanming Ji

26 papers receiving 642 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shanming Ji China 14 265 185 182 162 139 30 660
Zhao-Zhe Xin China 20 365 1.4× 176 1.0× 117 0.6× 123 0.8× 219 1.6× 47 721
Jorge Moraes Brazil 11 142 0.5× 77 0.4× 109 0.6× 56 0.3× 55 0.4× 26 445
Baojian Zhu China 21 591 2.2× 425 2.3× 385 2.1× 126 0.8× 319 2.3× 82 1.1k
Evy Vierstraete Belgium 10 352 1.3× 206 1.1× 354 1.9× 102 0.6× 261 1.9× 12 857
E. S. Snigirevskaya Russia 11 262 1.0× 96 0.5× 101 0.6× 31 0.2× 72 0.5× 33 521
Guoli Zhou China 11 203 0.8× 87 0.5× 225 1.2× 35 0.2× 112 0.8× 32 596
George Tzertzinis United States 17 482 1.8× 82 0.4× 277 1.5× 88 0.5× 194 1.4× 33 907
Chao-Liang Liu China 19 499 1.9× 266 1.4× 329 1.8× 125 0.8× 313 2.3× 56 871
Bert Breugelmans Belgium 15 235 0.9× 153 0.8× 235 1.3× 41 0.3× 124 0.9× 25 522
Eileen Knorr Germany 14 435 1.6× 220 1.2× 461 2.5× 42 0.3× 106 0.8× 20 761

Countries citing papers authored by Shanming Ji

Since Specialization
Citations

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

Fields of papers citing papers by Shanming Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shanming Ji

This figure shows the co-authorship network connecting the top 25 collaborators of Shanming Ji. A scholar is included among the top collaborators of Shanming Ji 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 Shanming Ji. Shanming Ji 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.
Wu, Mingfei, Chuchu Zhang, Xinyan Cao, et al.. (2025). Drosophila proteasome subunit Rpn8 controls IMD pathway activation via PGRP-SC2 degradation. Insect Biochemistry and Molecular Biology. 185. 104422–104422.
2.
3.
Zhang, Shikun, et al.. (2025). Cul2 Is Essential for the Drosophila IMD Signaling-Mediated Antimicrobial Immune Defense. International Journal of Molecular Sciences. 26(6). 2627–2627. 2 indexed citations
4.
Wang, Zixuan, Chuchu Zhang, Yihua Xiao, et al.. (2024). Drosophila Cul3 contributes to Diap2-mediated innate immune signaling for antimicrobial defense. SHILAP Revista de lepidopterología. 3(1). 38–51. 5 indexed citations
5.
Zhu, Yangyang, Chuchu Zhang, Abdul Qadeer, et al.. (2024). Drosophila eIF3f1 mediates host immune defense by targeting dTak1. EMBO Reports. 25(3). 1415–1435. 7 indexed citations
6.
Zheng, Xianrui, Chuchu Zhang, Yangyang Zhu, et al.. (2024). RNA-binding protein Roq modulates the Drosophila STING antiviral immune response. 1(1). 100002–100002. 8 indexed citations
7.
Zhu, Yangyang, Lei Liu, Chuchu Zhang, et al.. (2023). Endoplasmic reticulum-associated protein degradation contributes to Toll innate immune defense in Drosophila melanogaster. Frontiers in Immunology. 13. 1099637–1099637. 13 indexed citations
8.
Chen, Di, Lan Xiao, Xiaoming Huang, et al.. (2023). Single Cell Analysis of the Fate of Injected Oncogenic RasV12 Cells in Adult Wild Type <i>Drosophila</i>. Journal of Innate Immunity. 15(1). 442–467. 1 indexed citations
9.
Zhang, Chao, Shikun Zhang, Yihua Xiao, et al.. (2023). Ubiquitin C-Terminal Hydrolase L5 Plays an Essential Role in the Fly Innate Immune Defense against Bacterial Infection. Frontiers in Bioscience-Landmark. 28(11). 294–294. 6 indexed citations
10.
Qadeer, Abdul, Qingyang Li, Yihua Xiao, et al.. (2023). Dietary Supplementation of Aspirin Promotes Drosophila Defense against Viral Infection. Molecules. 28(14). 5300–5300. 7 indexed citations
11.
Cai, Qingshuang, et al.. (2022). E3 ligase Cul2 mediates Drosophila early germ cell differentiation through targeting Bam. Developmental Biology. 493. 103–108. 13 indexed citations
12.
Cai, Qingshuang, Huimin Guo, Rong Fang, et al.. (2022). A Toll-dependent Bre1/Rad6-cact feedback loop in controlling host innate immune response. Cell Reports. 41(11). 111795–111795. 13 indexed citations
13.
Zhu, Yangyang, Chao Zhang, Chuchu Zhang, et al.. (2022). A Feedback Regulatory Loop Involving dTrbd/dTak1 in Controlling IMD Signaling in Drosophila Melanogaster. Frontiers in Immunology. 13. 932268–932268. 14 indexed citations
14.
Zhu, Yangyang, Qingshuang Cai, Xianrui Zheng, et al.. (2021). Aspirin Positively Contributes to Drosophila Intestinal Homeostasis and Delays Aging through Targeting Imd. Aging and Disease. 12(7). 1821–1821. 24 indexed citations
15.
Cai, Qingshuang, Shanming Ji, Mengwan Li, et al.. (2021). Theaflavin-regulated Imd condensates control Drosophila intestinal homeostasis and aging. iScience. 24(3). 102150–102150. 31 indexed citations
16.
Ji, Shanming, Yuewan Luo, Qingshuang Cai, et al.. (2019). LC Domain-Mediated Coalescence Is Essential for Otu Enzymatic Activity to Extend Drosophila Lifespan. Molecular Cell. 74(2). 363–377.e5. 39 indexed citations
17.
Li, Chaoyi, Lijuan Kan, Yan Chen, et al.. (2015). Ci antagonizes Hippo signaling in the somatic cells of the ovary to drive germline stem cell differentiation. Cell Research. 25(10). 1152–1170. 28 indexed citations
18.
Ji, Shanming, Xiu-Deng Zheng, Li Lin, et al.. (2014). Cell-surface localization of Pellino antagonizes Toll-mediated innate immune signalling by controlling MyD88 turnover in Drosophila. Nature Communications. 5(1). 3458–3458. 60 indexed citations
19.
Tang, Yali, Jie Dai, Zhaolan Mo, et al.. (2009). Dyadobacter alkalitolerans sp. nov., isolated from desert sand. INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY. 59(1). 60–64. 21 indexed citations
20.
Danforth, Bryan N. & Shanming Ji. (1998). Elongation factor-1 alpha occurs as two copies in bees: implications for phylogenetic analysis of EF-1 alpha sequences in insects. Molecular Biology and Evolution. 15(3). 225–235. 200 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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