Sung‐Sau So

2.4k total citations · 1 hit paper
34 papers, 1.8k citations indexed

About

Sung‐Sau So is a scholar working on Molecular Biology, Computational Theory and Mathematics and Organic Chemistry. According to data from OpenAlex, Sung‐Sau So has authored 34 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 18 papers in Computational Theory and Mathematics and 8 papers in Organic Chemistry. Recurrent topics in Sung‐Sau So's work include Computational Drug Discovery Methods (18 papers), Synthesis and biological activity (4 papers) and Chemical Synthesis and Analysis (4 papers). Sung‐Sau So is often cited by papers focused on Computational Drug Discovery Methods (18 papers), Synthesis and biological activity (4 papers) and Chemical Synthesis and Analysis (4 papers). Sung‐Sau So collaborates with scholars based in United States, France and Switzerland. Sung‐Sau So's co-authors include Martin Karplus, Yi Han, Ruifeng Liu, William G. Richards, W. Graham Richards, Hongmao Sun, Andrew C. Good, Robert A. Goodnow, Isabel Nájera and Sophie Le Pogam and has published in prestigious journals such as Bioinformatics, Journal of Medicinal Chemistry and The Journal of Infectious Diseases.

In The Last Decade

Sung‐Sau So

34 papers receiving 1.7k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Overview of Artificial Neural Networks

2008 423 citations Sung‐Sau So et al. Methods in molecular biology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sung‐Sau So United States	20	771	594	335	278	197	34	1.8k
Eric Gifford United States	14	1.2k 1.6×	898 1.5×	412 1.2×	345 1.2×	214 1.1×	22	2.3k
Aixia Yan China	23	818 1.1×	619 1.0×	235 0.7×	248 0.9×	254 1.3×	110	1.6k
Dávid Bajusz Hungary	21	1.1k 1.4×	1.1k 1.8×	250 0.7×	192 0.7×	383 1.9×	55	2.5k
Andrea Mauri Italy	14	1.2k 1.6×	885 1.5×	581 1.7×	442 1.6×	371 1.9×	31	2.6k
Scott Boyer Sweden	32	1.1k 1.5×	1.0k 1.7×	149 0.4×	237 0.9×	270 1.4×	69	2.3k
Anita Rácz Hungary	22	1.0k 1.3×	949 1.6×	176 0.5×	184 0.7×	363 1.8×	58	2.3k
Alexey Zakharov United States	29	1.1k 1.5×	1.0k 1.7×	400 1.2×	112 0.4×	233 1.2×	117	2.5k
Xiao Li China	30	539 0.7×	736 1.2×	142 0.4×	100 0.4×	136 0.7×	169	2.8k
Ajay United States	11	799 1.0×	983 1.7×	264 0.8×	246 0.9×	164 0.8×	13	1.7k
Botao Fan China	25	737 1.0×	538 0.9×	530 1.6×	422 1.5×	223 1.1×	78	1.9k

Countries citing papers authored by Sung‐Sau So

Since Specialization

Citations

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

Fields of papers citing papers by Sung‐Sau So

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sung‐Sau So. 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 Sung‐Sau So. The network helps show where Sung‐Sau So may publish in the future.

Co-authorship network of co-authors of Sung‐Sau So

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

All Works

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20 of 20 papers shown

Gathiaka, Symon, Sung‐Sau So, Xiaomei Chai, et al.. (2023). Discovery of non-boronic acid Arginase 1 inhibitors through virtual screening and biophysical methods. Bioorganic & Medicinal Chemistry Letters. 84. 129193–129193. 2 indexed citations

Byrne, Noel, John C. Reid, Sung‐Sau So, et al.. (2020). Development of a robust crystallization platform for immune receptor TREM2 using a crystallization chaperone strategy. Protein Expression and Purification. 179. 105796–105796. 6 indexed citations

Lou, Yan, et al.. (2019). A potent seven-membered cyclic BTK (Bruton's tyrosine Kinase) chiral inhibitor conceived by structure-based drug design to lock its bioactive conformation. Bioorganic & Medicinal Chemistry Letters. 29(9). 1074–1078. 9 indexed citations

Obst-Sander, U., Bernd Kuhn, Simona Ceccarelli, et al.. (2016). Design and synthesis of selective, dual fatty acid binding protein 4 and 5 inhibitors. Bioorganic & Medicinal Chemistry Letters. 26(20). 5092–5097. 19 indexed citations

Kutchukian, Peter S., Sung‐Sau So, Christian Fischer, & Chris Waller. (2015). Fragment Library Design: Using Cheminformatics and Expert Chemists to Fill Gaps in Existing Fragment Libraries. Methods in molecular biology. 1289. 43–53. 4 indexed citations

Gillespie, Paul, Michael C. Myers, Karin Conde‐Knape, et al.. (2014). Discovery of camphor-derived pyrazolones as 11β-hydroxysteroid dehydrogenase type 1 inhibitors. Bioorganic & Medicinal Chemistry Letters. 24(12). 2707–2711. 2 indexed citations

Gillespie, Paul, Robert A. Goodnow, Gopal Bose, et al.. (2013). Discovery of pyrazolo[3,4-d]pyrimidine derivatives as GPR119 agonists. Bioorganic & Medicinal Chemistry Letters. 24(3). 949–953. 13 indexed citations

Fry, David C., Kuo‐Sen Huang, Paola Di Lello, et al.. (2013). Design of Libraries Targeting Protein–Protein Interfaces. ChemMedChem. 8(5). 726–732. 26 indexed citations

Tong, Xiao, Sophie Le Pogam, Lewyn Li, et al.. (2013). In Vivo Emergence of a Novel Mutant L159F/L320F in the NS5B Polymerase Confers Low-Level Resistance to the HCV Polymerase Inhibitors Mericitabine and Sofosbuvir. The Journal of Infectious Diseases. 209(5). 668–675. 94 indexed citations

10.

Peng, Zhengwei, Paul Gillespie, Martin Weisel, et al.. (2013). A Crowd‐Based Process and Tool for HTS Hit Triage. Molecular Informatics. 32(4). 337–345. 4 indexed citations

11.

Qian, Yimin, Mushtaq Ahmad, Shaoqing Chen, et al.. (2011). Discovery of 1-arylcarbonyl-6,7-dimethoxyisoquinoline derivatives as glutamine fructose-6-phosphate amidotransferase (GFAT) inhibitors. Bioorganic & Medicinal Chemistry Letters. 21(21). 6264–6269. 22 indexed citations

12.

Fotouhi, Nader, et al.. (2006). Application and Utilization of Chemoinformatics Tools in Lead Generation and Optimization. Combinatorial Chemistry & High Throughput Screening. 9(2). 95–102. 1 indexed citations

13.

Pandit, Deepangi, Sung‐Sau So, & Hongmao Sun. (2006). Enhancing Specificity and Sensitivity of Pharmacophore-Based Virtual Screening by Incorporating Chemical and Shape Features−A Case Study of HIV Protease Inhibitors. Journal of Chemical Information and Modeling. 46(3). 1236–1244. 27 indexed citations

14.

So, Sung‐Sau & Martin Karplus. (2001). Evaluation of designed ligands by a multiple screening method: Application to glycogen phosphorylase inhibitors constructed with a variety of approaches. Journal of Computer-Aided Molecular Design. 15(7). 613–647. 8 indexed citations

15.

Dinner, Aaron R., Sung‐Sau So, & Martin Karplus. (1998). Use of quantitative structure-property relationships to predict the folding ability of model proteins. Proteins Structure Function and Bioinformatics. 33(2). 177–203. 24 indexed citations

16.

So, Sung‐Sau & Martin Karplus. (1997). Three-Dimensional Quantitative Structure−Activity Relationships from Molecular Similarity Matrices and Genetic Neural Networks. 1. Method and Validations. Journal of Medicinal Chemistry. 40(26). 4347–4359. 127 indexed citations

17.

So, Sung‐Sau & Martin Karplus. (1997). Three-Dimensional Quantitative Structure−Activity Relationships from Molecular Similarity Matrices and Genetic Neural Networks. 2. Applications. Journal of Medicinal Chemistry. 40(26). 4360–4371. 49 indexed citations

18.

So, Sung‐Sau & Martin Karplus. (1996). Genetic Neural Networks for Quantitative Structure−Activity Relationships: Improvements and Application of Benzodiazepine Affinity for Benzodiazepine/GABA_A Receptors. Journal of Medicinal Chemistry. 39(26). 5246–5256. 91 indexed citations

19.

Good, Andrew C., Sung‐Sau So, & W. Graham Richards. (1993). Structure-activity relationships from molecular similarity matrices. Journal of Medicinal Chemistry. 36(4). 433–438. 105 indexed citations

20.

So, Sung‐Sau & William G. Richards. (1992). Application of neural networks: quantitative structure-activity relationships of the derivatives of 2,4-diamino-5-(substituted-benzyl)pyrimidines as DHFR inhibitors. Journal of Medicinal Chemistry. 35(17). 3201–3207. 114 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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