Jian Q. Shao

1.2k total citations
23 papers, 750 citations indexed

About

Jian Q. Shao is a scholar working on Microbiology, Molecular Biology and Epidemiology. According to data from OpenAlex, Jian Q. Shao has authored 23 papers receiving a total of 750 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Microbiology, 5 papers in Molecular Biology and 5 papers in Epidemiology. Recurrent topics in Jian Q. Shao's work include Bacterial Infections and Vaccines (8 papers), Bacterial biofilms and quorum sensing (4 papers) and Reproductive tract infections research (3 papers). Jian Q. Shao is often cited by papers focused on Bacterial Infections and Vaccines (8 papers), Bacterial biofilms and quorum sensing (4 papers) and Reproductive tract infections research (3 papers). Jian Q. Shao collaborates with scholars based in United States, China and Italy. Jian Q. Shao's co-authors include Michael A. Apicella, Margaret R. Ketterer, Christopher T. Steichen, Douglas B. Hornick, Jennifer L. Edwards, Kevin A. Ault, Christine Cho, Michael S. Zhang, Jonas Baltrušaitis and Martha M. Monick and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Infectious Diseases and Arteriosclerosis Thrombosis and Vascular Biology.

In The Last Decade

Jian Q. Shao

20 papers receiving 742 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jian Q. Shao United States 14 341 246 223 119 95 23 750
Ousmane H. Cissé United States 17 190 0.6× 394 1.6× 209 0.9× 107 0.9× 288 3.0× 56 871
Nadia Berkova France 21 193 0.6× 137 0.6× 518 2.3× 168 1.4× 346 3.6× 54 1.1k
Sachin D. Deshmukh Germany 14 213 0.6× 167 0.7× 589 2.6× 403 3.4× 76 0.8× 20 1.4k
Freda E.‐C. Jen Australia 17 403 1.2× 252 1.0× 388 1.7× 78 0.7× 120 1.3× 47 912
Leticia Zarantonelli France 15 416 1.2× 255 1.0× 146 0.7× 112 0.9× 120 1.3× 25 797
Christian Rüter Germany 15 331 1.0× 142 0.6× 428 1.9× 115 1.0× 161 1.7× 28 994
Jun X. Wheeler United Kingdom 16 246 0.7× 299 1.2× 299 1.3× 110 0.9× 80 0.8× 35 686
C Hammack United States 9 226 0.7× 169 0.7× 184 0.8× 208 1.7× 150 1.6× 10 697
Mikhail Shchepetov United States 13 375 1.1× 423 1.7× 271 1.2× 170 1.4× 72 0.8× 14 848
Cheryl Okumura United States 16 179 0.5× 193 0.8× 337 1.5× 271 2.3× 344 3.6× 23 998

Countries citing papers authored by Jian Q. Shao

Since Specialization
Citations

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

Fields of papers citing papers by Jian Q. Shao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jian Q. Shao. 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 Jian Q. Shao. The network helps show where Jian Q. Shao may publish in the future.

Co-authorship network of co-authors of Jian Q. Shao

This figure shows the co-authorship network connecting the top 25 collaborators of Jian Q. Shao. A scholar is included among the top collaborators of Jian Q. Shao 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 Jian Q. Shao. Jian Q. Shao 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.
Yan, Yuchen, Jin Jiang, Yang Liu, et al.. (2025). S^3cMath: Spontaneous Step-Level Self-Correction Makes Large Language Models Better Mathematical Reasoners. Proceedings of the AAAI Conference on Artificial Intelligence. 39(24). 25588–25596.
2.
Zhang, Wei, Yu Zhou, An-Chow Lai, Liang Yang, & Jian Q. Shao. (2024). ADP: An Adaptive Downgrade Predictor for Hybrid Multi-Die Architecture. 1418–1423.
3.
4.
Koh, Jin‐Young, et al.. (2023). Single-cell RNA-sequencing of stria vascularis cells in the adult Slc26a4-/- mouse. BMC Medical Genomics. 16(1). 133–133. 11 indexed citations
5.
Chen, Jie, et al.. (2021). [A new labdane-type diterpenoids from Callicarpa nudiflora].. PubMed. 46(16). 4139–4144.
6.
7.
Chu, Yi, Donald D. Lund, Henry L. Keen, et al.. (2016). Fibrotic Aortic Valve Stenosis in Hypercholesterolemic/Hypertensive Mice. Arteriosclerosis Thrombosis and Vascular Biology. 36(3). 466–474. 17 indexed citations
8.
Cho, Christine, Aroon T. Chande, Lokesh Gakhar, et al.. (2014). Role of the Nuclease of Nontypeable Haemophilus influenzae in Dispersal of Organisms from Biofilms. Infection and Immunity. 83(3). 950–957. 20 indexed citations
9.
Hassan, Ihab, Michael S. Zhang, Linda S. Powers, et al.. (2011). Influenza A Viral Replication Is Blocked by Inhibition of the Inositol-requiring Enzyme 1 (IRE1) Stress Pathway. Journal of Biological Chemistry. 287(7). 4679–4689. 124 indexed citations
10.
Sandal, Indra, Thomas J. Inzana, Antonio Molinaro, et al.. (2011). Identification, structure, and characterization of an exopolysaccharide produced by Histophilus somniduring biofilm formation. BMC Microbiology. 11(1). 186–186. 37 indexed citations
11.
Hsiao, Chia‐Hung Christine, Norikiyo Ueno, Jian Q. Shao, et al.. (2011). The effects of macrophage source on the mechanism of phagocytosis and intracellular survival of Leishmania. Microbes and Infection. 13(12-13). 1033–1044. 31 indexed citations
12.
Steichen, Christopher T., Christine Cho, Jian Q. Shao, & Michael A. Apicella. (2011). The Neisseria gonorrhoeae Biofilm Matrix Contains DNA, and an Endogenous Nuclease Controls Its Incorporation. Infection and Immunity. 79(4). 1504–1511. 63 indexed citations
13.
Shao, Jian Q., et al.. (2008). Biofilm formation on human airway epithelia by encapsulated Neisseria meningitidis serogroup B. Microbes and Infection. 11(2). 281–287. 24 indexed citations
14.
Sandal, Indra, Jian Q. Shao, Michael A. Apicella, et al.. (2008). Histophilus somni biofilm formation in cardiopulmonary tissue of the bovine host following respiratory challenge. Microbes and Infection. 11(2). 254–263. 48 indexed citations
15.
Steichen, Christopher T., Jian Q. Shao, Margaret R. Ketterer, & Michael A. Apicella. (2008). Gonococcal Cervicitis: A Role for Biofilm in Pathogenesis. The Journal of Infectious Diseases. 198(12). 1856–1861. 64 indexed citations
16.
Shao, Jian Q., et al.. (2005). Ultrastructural analysis of the pathogenesis of Neisseria gonorrhoeae endometrial infection. Cellular Microbiology. 7(5). 627–636. 19 indexed citations
17.
Kesavan, Sarathy, Qibin Su, Jian Q. Shao, John A. Porco, & James S. Panek. (2005). Enantioselective Synthesis of Linear Polypropionate Arrays Using Anthracene-Tagged Organosilanes. Organic Letters. 7(20). 4435–4438. 10 indexed citations
18.
Post, Deborah M. B., et al.. (2002). Intracellular Survival of Neisseria gonorrhoeae in Male Urethral Epithelial Cells: Importance of a Hexaacyl Lipid A. Infection and Immunity. 70(2). 909–920. 50 indexed citations
19.
Edwards, Jennifer L., Jian Q. Shao, Kevin A. Ault, & Michael A. Apicella. (2000). Neisseria gonorrhoeaeElicits Membrane Ruffling and Cytoskeletal Rearrangements upon Infection of Primary Human Endocervical and Ectocervical Cells. Infection and Immunity. 68(9). 5354–5363. 74 indexed citations
20.
Ketterer, Margaret R., et al.. (1999). Infection of Primary Human Bronchial Epithelial Cells by Haemophilus influenzae : Macropinocytosis as a Mechanism of Airway Epithelial Cell Entry. Infection and Immunity. 67(8). 4161–4170. 113 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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