David Shum

2.2k total citations · 1 hit paper
44 papers, 1.1k citations indexed

About

David Shum is a scholar working on Infectious Diseases, Molecular Biology and Epidemiology. According to data from OpenAlex, David Shum has authored 44 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Infectious Diseases, 18 papers in Molecular Biology and 14 papers in Epidemiology. Recurrent topics in David Shum's work include SARS-CoV-2 and COVID-19 Research (7 papers), Trypanosoma species research and implications (6 papers) and COVID-19 Clinical Research Studies (5 papers). David Shum is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (7 papers), Trypanosoma species research and implications (6 papers) and COVID-19 Clinical Research Studies (5 papers). David Shum collaborates with scholars based in South Korea, United States and France. David Shum's co-authors include Inhee Choi, Soo Young Byun, Soonju Park, Meehyun Ko, Jihye Lee, Seungtaek Kim, Sangeun Jeon, Constantin Radu, Hakim Djaballah and Bhavneet Bhinder and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

David Shum

43 papers receiving 1.1k 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.

Identification of Antiviral Drug Candidates against SARS-CoV-2 from FDA-Approved Drugs

2020 450 citations Sangeun Jeon, Meehyun Ko et al. Antimicrobial Agents and Chemotherapy profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
David Shum South Korea	16	504	338	204	185	168	44	1.1k
Joaquín Rullás Spain	18	362 0.7×	413 1.2×	290 1.4×	135 0.7×	63 0.4×	24	947
Francesco Saladini Italy	19	669 1.3×	252 0.7×	290 1.4×	116 0.6×	59 0.4×	61	1.1k
Christin Müller Germany	19	373 0.7×	412 1.2×	235 1.2×	54 0.3×	86 0.5×	35	1.0k
Tony T. Wang United States	21	765 1.5×	572 1.7×	196 1.0×	181 1.0×	64 0.4×	49	1.8k
Jian Lei China	16	762 1.5×	442 1.3×	178 0.9×	320 1.7×	143 0.9×	42	1.5k
Nicholas A. Malmquist United States	18	402 0.8×	645 1.9×	321 1.6×	467 2.5×	86 0.5×	22	1.2k
Kevin R. Alliston United States	21	521 1.0×	300 0.9×	88 0.4×	122 0.7×	171 1.0×	38	1.2k
Yanchen Zhou United States	15	584 1.2×	224 0.7×	135 0.7×	120 0.6×	105 0.6×	29	1.3k

Countries citing papers authored by David Shum

Since Specialization

Citations

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

Fields of papers citing papers by David Shum

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Shum

This figure shows the co-authorship network connecting the top 25 collaborators of David Shum. A scholar is included among the top collaborators of David Shum 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 David Shum. David Shum 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

Kim, Ji Hoon, JuOae Chang, Na Kyung Lee, et al.. (2024). Reducing Peptidoglycan Crosslinking by Chemical Modulator Reverts β‐lactam Resistance in Methicillin‐Resistant Staphylococcus aureus. Advanced Science. 11(28). e2400858–e2400858. 8 indexed citations

Kim, Dong‐In, Soonju Park, Paul Kim, et al.. (2022). Immunogenicity and Durability of Antibody Responses to Homologous and Heterologous Vaccinations with BNT162b2 and ChAdOx1 Vaccines for COVID-19. Vaccines. 10(11). 1864–1864. 6 indexed citations

Park, Kyu‐Ho, et al.. (2022). Discovery of novel Leishmania major trypanothione synthetase inhibitors by high-throughput screening. Biochemical and Biophysical Research Communications. 637. 308–313. 8 indexed citations

Lim, So Yun, Ji Yeun Kim, Soonju Park, et al.. (2021). Correlation between Reactogenicity and Immunogenicity after the ChAdOx1 nCoV-19 and BNT162b2 mRNA Vaccination. Immune Network. 21(6). e41–e41. 8 indexed citations

Kim, Min A, Soo Young Byun, Jun Liu, et al.. (2021). Noncanonical immune response to the inhibition of DNA methylation by Staufen1 via stabilization of endogenous retrovirus RNAs. Proceedings of the National Academy of Sciences. 118(13). 29 indexed citations

Kim, Ji Yeun, Seongman Bae, Soonju Park, et al.. (2021). Comparison of Antibody and T Cell Responses Induced by Single Doses of ChAdOx1 nCoV-19 and BNT162b2 Vaccines. Immune Network. 21(4). e29–e29. 12 indexed citations

Song, Yeonhwa, David Shum, Su‐Yeon Lee, et al.. (2021). Identification of hepatic fibrosis inhibitors through morphometry analysis of a hepatic multicellular spheroids model. Scientific Reports. 11(1). 10931–10931. 15 indexed citations

Jeon, Sangeun, Meehyun Ko, Jihye Lee, et al.. (2020). Identification of Antiviral Drug Candidates against SARS-CoV-2 from FDA-Approved Drugs. Antimicrobial Agents and Chemotherapy. 64(7). 450 indexed citations breakdown →

Seo, Haeng Ran, et al.. (2020). Identification of inhibitors of Bcl-2 family protein-protein interaction by combining the BRET screening platform with virtual screening. Biochemical and Biophysical Research Communications. 527(3). 709–715. 8 indexed citations

10.

Kim, Young Mi, Aram Lee, Jung‐Hwan Choi, et al.. (2020). Discovery of thienothiazolocarboxamide analogues as novel anti-tubercular agent. Bioorganic & Medicinal Chemistry. 28(23). 115797–115797. 3 indexed citations

11.

Aulner, Nathalie, et al.. (2019). Next-Generation Phenotypic Screening in Early Drug Discovery for Infectious Diseases. Trends in Parasitology. 35(7). 559–570. 54 indexed citations

12.

Han, Hyeong‐jun, Vincent Delorme, David Shum, et al.. (2019). Drug Discovery Platform Targeting M. tuberculosis with Human Embryonic Stem Cell-Derived Macrophages. Stem Cell Reports. 13(6). 980–991. 34 indexed citations

13.

König, Alexander, Jaewon Yang, Eunji Jo, et al.. (2019). Efficient long-term amplification of hepatitis B virus isolates after infection of slow proliferating HepG2-NTCP cells. Journal of Hepatology. 71(2). 289–300. 53 indexed citations

14.

Lee, Nakyung, David Shum, Alexander König, et al.. (2018). High-throughput drug screening using the Ebola virus transcription- and replication-competent virus-like particle system. Antiviral Research. 158. 226–237. 15 indexed citations

15.

Kim, Hyung‐Jun, et al.. (2017). Identification of Antipneumococcal Molecules Effective Against Different Streptococcus pneumoniae Serotypes Using a Resazurin-Based High-Throughput Screen. Assay and Drug Development Technologies. 15(5). 198–209. 8 indexed citations

16.

Nam, Jiyoun, Jichan Jang, David Shum, et al.. (2016). High-Content Screening of Raw Actinomycete Extracts for the Identification of Antituberculosis Activities. SLAS DISCOVERY. 22(2). 144–154. 1 indexed citations

17.

Chau, De-Ming, David Shum, Constantin Radu, et al.. (2013). A Novel High Throughput 1536-Well Notch1 γ -Secretase AlphaLISA Assay. Combinatorial Chemistry & High Throughput Screening. 16(6). 415–424. 7 indexed citations

18.

Takagi, Toshimitsu, David Shum, Monika Parisi, et al.. (2011). Comparison of Luminescence ADP Production Assay and Radiometric Scintillation Proximity Assay for Cdc7 Kinase. Combinatorial Chemistry & High Throughput Screening. 14(8). 669–687. 11 indexed citations

19.

Shum, David, Jessica L. Smith, Alec J. Hirsch, et al.. (2010). High-Content Assay to Identify Inhibitors of Dengue Virus Infection. Assay and Drug Development Technologies. 8(5). 553–570. 70 indexed citations

20.

Shelton, Christopher C., Yuan Tian, David Shum, et al.. (2009). A Miniaturized 1536-Well Format γ-Secretase Assay. Assay and Drug Development Technologies. 7(5). 461–470. 14 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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