Benjamin Hur

536 total citations
22 papers, 309 citations indexed

About

Benjamin Hur is a scholar working on Molecular Biology, Immunology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Benjamin Hur has authored 22 papers receiving a total of 309 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 4 papers in Immunology and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Benjamin Hur's work include Bioinformatics and Genomic Networks (6 papers), Gene expression and cancer classification (6 papers) and Gut microbiota and health (3 papers). Benjamin Hur is often cited by papers focused on Bioinformatics and Genomic Networks (6 papers), Gene expression and cancer classification (6 papers) and Gut microbiota and health (3 papers). Benjamin Hur collaborates with scholars based in United States, South Korea and Ethiopia. Benjamin Hur's co-authors include Jaeyun Sung, Sun Kim, Vinod K. Gupta, Kenneth J. Warrington, John M. Davis, Veena Taneja, Harvey Huang, Kevin Y. Cunningham, Elena Myasoedova and Sangseon Lee and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Neuron.

In The Last Decade

Benjamin Hur

19 papers receiving 305 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Benjamin Hur United States 12 164 46 41 35 31 22 309
Khaled Elmasry Egypt 11 133 0.8× 50 1.1× 11 0.3× 41 1.2× 27 0.9× 21 357
Wu Deng United States 11 154 0.9× 25 0.5× 28 0.7× 17 0.5× 19 0.6× 18 294
Letizia Granieri Italy 13 152 0.9× 95 2.1× 22 0.5× 93 2.7× 22 0.7× 25 494
Vladislav O. Soldatov Russia 13 141 0.9× 10 0.2× 40 1.0× 38 1.1× 11 0.4× 46 311
Seung Ah Yoo South Korea 7 119 0.7× 33 0.7× 15 0.4× 117 3.3× 12 0.4× 16 341
Na Ma China 12 116 0.7× 9 0.2× 52 1.3× 28 0.8× 49 1.6× 45 343
Ziyue Zhou China 10 108 0.7× 49 1.1× 21 0.5× 55 1.6× 44 1.4× 22 330
Joon-Young Kim South Korea 8 179 1.1× 16 0.3× 34 0.8× 53 1.5× 48 1.5× 13 383
Xinmin Ding China 8 78 0.5× 14 0.3× 33 0.8× 32 0.9× 39 1.3× 27 214
Ryeojin Ko South Korea 10 254 1.5× 21 0.5× 13 0.3× 61 1.7× 80 2.6× 15 382

Countries citing papers authored by Benjamin Hur

Since Specialization
Citations

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

Fields of papers citing papers by Benjamin Hur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Benjamin Hur

This figure shows the co-authorship network connecting the top 25 collaborators of Benjamin Hur. A scholar is included among the top collaborators of Benjamin Hur 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 Benjamin Hur. Benjamin Hur 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.
Hur, Benjamin, et al.. (2025). Learning based lower limb joint kinematic estimation using open source IMU data. Scientific Reports. 15(1). 5287–5287. 5 indexed citations
2.
Kim, Ha Neui, Benjamin Hur, Whitney L. Simon, et al.. (2025). Delayed atorvastatin delivery promotes recovery after experimental spinal cord injury. Neurotherapeutics. 22(2). e00517–e00517.
3.
Hur, Benjamin, Vinod K. Gupta, Hu Zeng, et al.. (2025). Integrative multi-omic profiling in blood reveals distinct immune and metabolic signatures between ACPA-negative and ACPA-positive rheumatoid arthritis. Frontiers in Immunology. 16. 1667662–1667662.
4.
Gupta, Vinod K., Benjamin Hur, Kevin Y. Cunningham, et al.. (2024). Gut Microbiome Wellness Index 2 enhances health status prediction from gut microbiome taxonomic profiles. Nature Communications. 15(1). 7447–7447. 14 indexed citations
5.
Cunningham, Kevin Y., Benjamin Hur, Vinod K. Gupta, et al.. (2024). Plasma proteome profiling in giant cell arteritis. Annals of the Rheumatic Diseases. 83(12). 1762–1772. 2 indexed citations
6.
Umpierre, Anthony D., Bohan Li, Katayoun Ayasoufi, et al.. (2024). Microglial P2Y6 calcium signaling promotes phagocytosis and shapes neuroimmune responses in epileptogenesis. Neuron. 112(12). 1959–1977.e10. 28 indexed citations
7.
Cunningham, Kevin Y., Benjamin Hur, Vinod K. Gupta, et al.. (2023). Patients with ACPA-positive and ACPA-negative rheumatoid arthritis show different serological autoantibody repertoires and autoantibody associations with disease activity. Scientific Reports. 13(1). 13 indexed citations
8.
Gupta, Vinod K., et al.. (2023). GMWI-webtool: a user-friendly browser application for assessing health through metagenomic gut microbiome profiling. Bioinformatics. 39(2). 2 indexed citations
9.
Hur, Benjamin, Matthew J. Koster, Jin Sung Jang, et al.. (2022). Global Transcriptomic Profiling Identifies Differential Gene Expression Signatures Between Inflammatory and Noninflammatory Aortic Aneurysms. Arthritis & Rheumatology. 74(8). 1376–1386. 15 indexed citations
10.
Gupta, Vinod K., Kevin Y. Cunningham, Benjamin Hur, et al.. (2021). Gut microbial determinants of clinically important improvement in patients with rheumatoid arthritis. Genome Medicine. 13(1). 149–149. 52 indexed citations
11.
Hur, Benjamin, Vinod K. Gupta, Harvey Huang, et al.. (2021). Plasma metabolomic profiling in patients with rheumatoid arthritis identifies biochemical features predictive of quantitative disease activity. Arthritis Research & Therapy. 23(1). 164–164. 28 indexed citations
12.
Lee, Sangseon, et al.. (2021). MLDEG: A Machine Learning Approach to Identify Differentially Expressed Genes Using Network Property and Network Propagation. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 19(4). 2356–2364. 2 indexed citations
13.
Enninga, Elizabeth Ann L., Jin Sung Jang, Benjamin Hur, et al.. (2020). Maternal obesity is associated with phenotypic alterations in fetal immune cells by single‐cell mass cytometry. American Journal of Reproductive Immunology. 85(3). e13358–e13358. 12 indexed citations
14.
Hur, Benjamin, et al.. (2019). Venn-diaNet : venn diagram based network propagation analysis framework for comparing multiple biological experiments. BMC Bioinformatics. 20(S23). 667–667. 26 indexed citations
15.
16.
Hur, Benjamin, et al.. (2016). RDDpred: a condition-specific RNA-editing prediction model from RNA-seq data. BMC Genomics. 17(S1). 5–5. 29 indexed citations
17.
Jeon, Bu‐Nam, Min-Kyeong Kim, Won‐Il Choi, et al.. (2016). Zbtb7c is a molecular ‘off’ and ‘on’ switch of Mmp gene transcription. Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms. 1859(11). 1429–1439. 9 indexed citations
18.
Hur, Benjamin, Sangsoo Lim, Heejoon Chae, et al.. (2016). CLIP-GENE: a web service of the condition specific context-laid integrative analysis for gene prioritization in mouse TF knockout experiments. Biology Direct. 11(1). 57–57. 1 indexed citations
19.
Park, Jinwoo, Benjamin Hur, Sung-Min Rhee, et al.. (2016). Information theoretic sub-network mining characterizes breast cancer subtypes in terms of cancer core mechanisms. Journal of Bioinformatics and Computational Biology. 14(5). 1644002–1644002.
20.
Jeon, Bu‐Nam, Kim Ys, Won‐Il Choi, et al.. (2012). Kr-pok increases FASN expression by modulating the DNA binding of SREBP-1c and Sp1 at the proximal promoter. Journal of Lipid Research. 53(4). 755–766. 29 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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