Jing Su

1.0k total citations
27 papers, 325 citations indexed

About

Jing Su is a scholar working on Molecular Biology, Organic Chemistry and Infectious Diseases. According to data from OpenAlex, Jing Su has authored 27 papers receiving a total of 325 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 7 papers in Organic Chemistry and 6 papers in Infectious Diseases. Recurrent topics in Jing Su's work include Antibiotic Resistance in Bacteria (5 papers), Chemical Synthesis and Analysis (4 papers) and Antimicrobial Resistance in Staphylococcus (4 papers). Jing Su is often cited by papers focused on Antibiotic Resistance in Bacteria (5 papers), Chemical Synthesis and Analysis (4 papers) and Antimicrobial Resistance in Staphylococcus (4 papers). Jing Su collaborates with scholars based in United States, China and United Kingdom. Jing Su's co-authors include Havilland Campbell, Larissa Wenning, Peter Sklar, Matthew L. Rizk, Yaming Hang, Joseph J. Eron, Bach‐Yen Nguyen, Wen‐Lin Luo, Jing Zhao and Brian A. McKittrick and has published in prestigious journals such as Blood, Analytical Biochemistry and Antimicrobial Agents and Chemotherapy.

In The Last Decade

Jing Su

26 papers receiving 309 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jing Su United States 10 93 88 79 54 53 27 325
Jay Trivedi United States 12 65 0.7× 61 0.7× 84 1.1× 8 0.1× 39 0.7× 20 277
Giuliana Cuzzucoli Crucitti Italy 12 201 2.2× 244 2.8× 217 2.7× 26 0.5× 163 3.1× 20 499
Maya M. Makatini South Africa 12 106 1.1× 81 0.9× 128 1.6× 23 0.4× 56 1.1× 30 314
Helena de Souza Pereira Brazil 10 71 0.8× 90 1.0× 94 1.2× 15 0.3× 67 1.3× 26 365
Louise Domeneghini Chiaradia-Delatorre Brazil 13 149 1.6× 49 0.6× 219 2.8× 17 0.3× 6 0.1× 21 400
Liezl Gibhard South Africa 12 87 0.9× 50 0.6× 99 1.3× 10 0.2× 12 0.2× 25 353
Mikhail S. Drenichev Russia 13 118 1.3× 87 1.0× 270 3.4× 34 0.6× 10 0.2× 46 431
Yoonae Ko South Korea 9 110 1.2× 123 1.4× 143 1.8× 17 0.3× 13 0.2× 14 307
Liquan Yang China 14 245 2.6× 73 0.8× 219 2.8× 28 0.5× 21 0.4× 49 609
Ravi Kant Rajpoot India 9 49 0.5× 80 0.9× 266 3.4× 25 0.5× 17 0.3× 11 527

Countries citing papers authored by Jing Su

Since Specialization
Citations

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

Fields of papers citing papers by Jing Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jing Su

This figure shows the co-authorship network connecting the top 25 collaborators of Jing Su. A scholar is included among the top collaborators of Jing Su 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 Jing Su. Jing Su 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.
Chai, Ziwei, Guoyin Wang, Jing Su, et al.. (2024). An Expert is Worth One Token: Synergizing Multiple Expert LLMs as Generalist via Expert Token Routing. 11385–11396. 1 indexed citations
2.
Gao, Limin, Jing Su, Chun Chen, Qian Tian, & Yixin Shen. (2020). Increases in forage legume biomass as a response to nitrogen input depend on temperature, soil characters and planting system: A meta‐analysis. Grass and Forage Science. 76(2). 309–319. 6 indexed citations
3.
Zárate, Cayetana, Michael J. Ardolino, Gregori J. Morriello, et al.. (2020). Development of Scalable Routes to 1-Bicyclo[1.1.1]pentylpyrazoles. Organic Process Research & Development. 25(3). 642–647. 27 indexed citations
4.
Yang, Shu‐Wei, et al.. (2019). Serendipitous discovery of aryl boronic acids as β-lactamase inhibitors. Bioorganic & Medicinal Chemistry Letters. 30(2). 126795–126795. 5 indexed citations
5.
Corrigan, Brian, Robert Fox, Jill Fiedler‐Kelly, et al.. (2018). Data standards for model-informed drug development: an ISoP initiative. Journal of Pharmacokinetics and Pharmacodynamics. 45(5). 659–661. 2 indexed citations
6.
Walker, Scott S., David Degen, Elliott Nickbarg, et al.. (2017). Affinity Selection–Mass Spectrometry Identifies a Novel Antibacterial RNA Polymerase Inhibitor. ACS Chemical Biology. 12(5). 1346–1352. 14 indexed citations
7.
8.
Labroli, Marc, John P. Caldwell, Christine Yang, et al.. (2016). Discovery of potent wall teichoic acid early stage inhibitors. Bioorganic & Medicinal Chemistry Letters. 26(16). 3999–4002. 9 indexed citations
9.
Wang, Hao, Marc Labroli, Christine Yang, et al.. (2016). Quantitation of wall teichoic acid in Staphylococcus aureus by direct measurement of monomeric units using LC-MS/MS. Analytical Biochemistry. 518. 9–15. 2 indexed citations
10.
Hou, Yan, Todd Mayhood, Payal R. Sheth, et al.. (2016). NMR Binding and Functional Assays for Detecting Inhibitors of S. aureus MnaA. SLAS DISCOVERY. 21(6). 579–589. 3 indexed citations
11.
Yang, Shu‐Wei, Jianping Pan, Christine Yang, et al.. (2016). Benzimidazole analogs as WTA biosynthesis inhibitors targeting methicillin resistant Staphylococcus aureus. Bioorganic & Medicinal Chemistry Letters. 26(19). 4743–4747. 11 indexed citations
12.
Rizk, Matthew L., Yaming Hang, Wen‐Lin Luo, et al.. (2012). Pharmacokinetics and Pharmacodynamics of Once-Daily versus Twice-Daily Raltegravir in Treatment-Naïve HIV-Infected Patients. Antimicrobial Agents and Chemotherapy. 56(6). 3101–3106. 77 indexed citations
13.
Huang, Xianhai, Jing Su, Wei Zhou, et al.. (2011). SAR studies of C2 ethers of 2H-pyrano[2,3-d]pyrimidine-2,4,7(1H,3H)-triones as nicotinic acid receptor (NAR) agonist. Bioorganic & Medicinal Chemistry Letters. 22(2). 854–858. 12 indexed citations
14.
Su, Jing, et al.. (2011). Stereoselective synthesis of C-6 hydroxy tricyclic sulfone as a γ-secretase inhibitor. Tetrahedron Letters. 52(26). 3382–3385. 7 indexed citations
15.
Li, Qiang, Duane A. Burnett, Jing Su, et al.. (2010). Discovery of new SCH 39166 analogs as potent and selective dopamine D1 receptor antagonists. Bioorganic & Medicinal Chemistry Letters. 20(3). 836–840. 7 indexed citations
16.
17.
Zhao, Yan, et al.. (2009). A combination of heat treatment and Pichia guilliermondii prevents cherry tomato spoilage by fungi. International Journal of Food Microbiology. 137(1). 106–110. 40 indexed citations
18.
Su, Jing, Brian A. McKittrick, Tao Guo, et al.. (2007). Synthesis of novel bicyclo[4.1.0]heptane and bicyclo[3.1.0]hexane derivatives as melanin-concentrating hormone receptor R1 antagonists. Bioorganic & Medicinal Chemistry Letters. 17(17). 4845–4850. 5 indexed citations
19.
Su, Jing, Brian A. McKittrick, Duane A. Burnett, et al.. (2007). SAR study of bicyclo[4.1.0]heptanes as melanin-concentrating hormone receptor R1 antagonists: Taming hERG. Bioorganic & Medicinal Chemistry. 15(16). 5369–5385. 7 indexed citations
20.
Su, Jing, Brian A. McKittrick, Michael Czarniecki, et al.. (2004). Discovery of melanin-concentrating hormone receptor R1 antagonists using high-throughput synthesis. Bioorganic & Medicinal Chemistry. 13(5). 1829–1836. 23 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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