Bo Ram Beck

2.4k total citations · 3 hit papers
21 papers, 1.7k citations indexed

About

Bo Ram Beck is a scholar working on Immunology, Molecular Biology and Aquatic Science. According to data from OpenAlex, Bo Ram Beck has authored 21 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Immunology, 8 papers in Molecular Biology and 4 papers in Aquatic Science. Recurrent topics in Bo Ram Beck's work include Aquaculture disease management and microbiota (8 papers), Computational Drug Discovery Methods (4 papers) and Aquaculture Nutrition and Growth (4 papers). Bo Ram Beck is often cited by papers focused on Aquaculture disease management and microbiota (8 papers), Computational Drug Discovery Methods (4 papers) and Aquaculture Nutrition and Growth (4 papers). Bo Ram Beck collaborates with scholars based in South Korea, United States and Norway. Bo Ram Beck's co-authors include Seong Kyu Song, Keunsoo Kang, Bonggun Shin, Sung‐Soo Park, Yoonjung Choi, Einar Ringø, Daniel H. Kim, Cheol Park, Seyed Hossein Hoseinifar and Hien Van Doan and has published in prestigious journals such as Clinical Cancer Research, Frontiers in Microbiology and Food Control.

In The Last Decade

Bo Ram Beck

20 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.

Predicting commercially available antiviral drugs that may act on the novel coronavirus (SARS-CoV-2) through a drug-target interaction deep learning model

2020 527 citations Bo Ram Beck, Bonggun Shin et al. Computational and Structural Biotechnology Journal profile →
Prebiotics as immunostimulants in aquaculture: A review

2014 370 citations Seong Kyu Song, Bo Ram Beck et al. Fish & Shellfish Immunology profile →
Lactic Acid Bacteria in Finfish—An Update

2018 303 citations Einar Ringø, Seyed Hossein Hoseinifar et al. Frontiers in Microbiology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Bo Ram Beck South Korea	14	889	728	401	294	228	21	1.7k
Mohammad Azhar Kamal Saudi Arabia	22	223 0.3×	39 0.1×	586 1.5×	394 1.3×	70 0.3×	65	1.8k
M. A. Qureshi United States	23	333 0.4×	60 0.1×	300 0.7×	129 0.4×	14 0.1×	48	1.5k
Meiqin Liu China	19	225 0.3×	22 0.0×	955 2.4×	1.6k 5.5×	311 1.4×	56	2.8k
Kyung‐Ae Lee South Korea	23	146 0.2×	32 0.0×	544 1.4×	563 1.9×	26 0.1×	55	1.9k
Karin Séron France	21	130 0.1×	16 0.0×	497 1.2×	304 1.0×	93 0.4×	49	1.9k
Sepideh Shahbazi Iran	12	171 0.2×	42 0.1×	362 0.9×	123 0.4×	11 0.0×	17	989
Jin Soo Shin South Korea	14	112 0.1×	49 0.1×	186 0.5×	311 1.1×	82 0.4×	32	797
Abbas Khan Pakistan	23	259 0.3×	19 0.0×	1.0k 2.6×	734 2.5×	348 1.5×	70	1.7k
Christopher J. Vavricka Japan	25	239 0.3×	18 0.0×	825 2.1×	189 0.6×	58 0.3×	50	1.7k

Countries citing papers authored by Bo Ram Beck

Since Specialization

Citations

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

Fields of papers citing papers by Bo Ram Beck

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bo Ram Beck. 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 Bo Ram Beck. The network helps show where Bo Ram Beck may publish in the future.

Co-authorship network of co-authors of Bo Ram Beck

This figure shows the co-authorship network connecting the top 25 collaborators of Bo Ram Beck. A scholar is included among the top collaborators of Bo Ram Beck 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 Bo Ram Beck. Bo Ram Beck 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

Choi, Yoonjung, Heejin Lee, Bo Ram Beck, et al.. (2025). Repurposing of the Syk inhibitor fostamatinib using a machine learning algorithm. Experimental and Therapeutic Medicine. 29(6). 1–9.

Kim, T. W., et al.. (2024). Study of the soothing effects of troxerutin in alleviating skin sensitivity. Journal of Cosmetic Dermatology. 23(9). 2934–2942. 2 indexed citations

Lee, Jinyong, et al.. (2023). Drug–Target Interaction Deep Learning-Based Model Identifies the Flavonoid Troxerutin as a Candidate TRPV1 Antagonist. Applied Sciences. 13(9). 5617–5617. 7 indexed citations

Park, Jihye, et al.. (2022). A Brief Review of Machine Learning-Based Bioactive Compound Research. Applied Sciences. 12(6). 2906–2906. 16 indexed citations

Beck, Bo Ram, et al.. (2021). Feeding olive flounder (Paralichthys olivaceus) with Lactococcus lactis BFE920 expressing the fusion antigen of Vibrio OmpK and FlaB provides protection against multiple Vibrio pathogens: A universal vaccine effect. Fish & Shellfish Immunology. 114. 253–262. 14 indexed citations

Beck, Bo Ram, Bonggun Shin, Yoonjung Choi, Sung‐Soo Park, & Keunsoo Kang. (2020). Predicting commercially available antiviral drugs that may act on the novel coronavirus (SARS-CoV-2) through a drug-target interaction deep learning model. Computational and Structural Biotechnology Journal. 18. 784–790. 527 indexed citations breakdown →

Choi, Yoonjung, Bonggun Shin, Keunsoo Kang, Sung‐Soo Park, & Bo Ram Beck. (2020). Target-Centered Drug Repurposing Predictions of Human Angiotensin-Converting Enzyme 2 (ACE2) and Transmembrane Protease Serine Subtype 2 (TMPRSS2) Interacting Approved Drugs for Coronavirus Disease 2019 (COVID-19) Treatment through a Drug-Target Interaction Deep Learning Model. Viruses. 12(11). 1325–1325. 26 indexed citations

Park, Sung Soo, Yoon Ho Ko, Bora Lee, Bonggun Shin, & Bo Ram Beck. (2020). Abstract 35: Molecular optimization of phase III trial failed anticancer drugs using target affinity and toxicity-centered multiple properties reinforcement learning. Clinical Cancer Research. 26(12_Supplement_1). 35–35. 6 indexed citations

Beck, Bo Ram, et al.. (2019). Multidisciplinary and Comparative Investigations of Potential Psychobiotic Effects of Lactobacillus Strains Isolated From Newborns and Their Impact on Gut Microbiota and Ileal Transcriptome in a Healthy Murine Model. Frontiers in Cellular and Infection Microbiology. 9. 269–269. 21 indexed citations

10.

Beck, Bo Ram, et al.. (2019). Whole Genome Analysis of Lactobacillus plantarum Strains Isolated From Kimchi and Determination of Probiotic Properties to Treat Mucosal Infections by Candida albicans and Gardnerella vaginalis. Frontiers in Microbiology. 10. 433–433. 40 indexed citations

11.

Ringø, Einar, Seyed Hossein Hoseinifar, Koushik Ghosh, et al.. (2018). Lactic Acid Bacteria in Finfish—An Update. Frontiers in Microbiology. 9. 1818–1818. 303 indexed citations breakdown →

12.

Beck, Bo Ram, et al.. (2017). A Lactococcus lactis BFE920 feed vaccine expressing a fusion protein composed of the OmpA and FlgD antigens from Edwardsiella tarda was significantly better at protecting olive flounder (Paralichthys olivaceus) from edwardsiellosis than single antigen vaccines. Fish & Shellfish Immunology. 68. 19–28. 34 indexed citations

13.

Beck, Bo Ram, Daniel H. Kim, Jin‐Hwan Kwak, et al.. (2016). Distinct immune tones are established by Lactococcus lactis BFE920 and Lactobacillus plantarum FGL0001 in the gut of olive flounder (Paralichthys olivaceus). Fish & Shellfish Immunology. 55. 434–443. 41 indexed citations

14.

Kim, Daniel H., Bo Ram Beck, Sun Min Lee, et al.. (2016). Pellet feed adsorbed with the recombinant Lactococcus lactis BFE920 expressing SiMA antigen induced strong recall vaccine effects against Streptococcus iniae infection in olive flounder (Paralichthys olivaceus). Fish & Shellfish Immunology. 55. 374–383. 27 indexed citations

15.

Park, So‐Young, Yosep Ji, Hyunjoon Park, et al.. (2016). Evaluation of functional properties of lactobacilli isolated from Korean white kimchi. Food Control. 69. 5–12. 41 indexed citations

16.

Song, Seong Kyu, et al.. (2014). Prebiotics as immunostimulants in aquaculture: A review. Fish & Shellfish Immunology. 40(1). 40–48. 370 indexed citations breakdown →

17.

Beck, Bo Ram, Daniel H. Kim, Sun Min Lee, et al.. (2014). The effects of combined dietary probiotics Lactococcus lactis BFE920 and Lactobacillus plantarum FGL0001 on innate immunity and disease resistance in olive flounder (Paralichthys olivaceus). Fish & Shellfish Immunology. 42(1). 177–183. 167 indexed citations

18.

Kim, Daniel H., Bo Ram Beck, Jungjoon Kim, et al.. (2013). Lactococcus lactis BFE920 activates the innate immune system of olive flounder (Paralichthys olivaceus), resulting in protection against Streptococcus iniae infection and enhancing feed efficiency and weight gain in large-scale field studies. Fish & Shellfish Immunology. 35(5). 1585–1590. 87 indexed citations

19.

Beck, Bo Ram, et al.. (2013). Bacterial Community Structure Shift Driven by Salinity: Analysis of DGGE Band Patterns from Freshwater to Seawater of Hyeongsan River, Korea. Journal of Life Science. 23(3). 406–414. 1 indexed citations

20.

Beck, Bo Ram, et al.. (2012). Influences of Addition of Jellyfish Powder to Bed Soil and Bacterial Community Structure of Bed Soil. Korean Journal of Soil Science and Fertilizer. 45(2). 227–234. 2 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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