Bowen Jin

815 total citations · 1 hit paper
13 papers, 505 citations indexed

About

Bowen Jin is a scholar working on Molecular Biology, Genetics and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Bowen Jin has authored 13 papers receiving a total of 505 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Genetics and 4 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Bowen Jin's work include Genomics and Rare Diseases (4 papers), Genetic Associations and Epidemiology (3 papers) and Pulmonary Hypertension Research and Treatments (3 papers). Bowen Jin is often cited by papers focused on Genomics and Rare Diseases (4 papers), Genetic Associations and Epidemiology (3 papers) and Pulmonary Hypertension Research and Treatments (3 papers). Bowen Jin collaborates with scholars based in China, United States and Netherlands. Bowen Jin's co-authors include Hao Li, Sheng‐You Huang, Yumeng Yan, Botong Li, Xuan Zheng, Hongmei Zhou, Hang Zhang, Gangcheng Zhang, William S. Bush and John A. Capra and has published in prestigious journals such as Nucleic Acids Research, Genome Research and Genome biology.

In The Last Decade

Bowen Jin

10 papers receiving 499 citations

Hit Papers

HPEPDOCK: a web server for blind peptide–protein docking ... 2018 2026 2020 2023 2018 100 200 300
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.

  1. HPEPDOCK: a web server for blind peptide–protein docking based on a hierarchical algorithm
    2018 398 citations Bowen Jin, Hao Li et al. Nucleic Acids Research profile →

Peers

Bowen Jin
Rayapadi G. Swetha India
Asim Azhar India
Barbara Giabbai Italy
Carlos Madrid-Aliste United States
Felipe Pantoja Mesquita Brazil
Taeyong Park South Korea
Anne Bonhoure France
Matthieu Pichaud United States
Yasir Ali Pakistan
Christine S. Ring United States
Rayapadi G. Swetha India
Bowen Jin
Citations per year, relative to Bowen Jin Bowen Jin (= 1×) peers Rayapadi G. Swetha

Countries citing papers authored by Bowen Jin

Since Specialization
Citations

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

Fields of papers citing papers by Bowen Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bowen Jin

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

All Works

13 of 13 papers shown
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Grunin, Michelle, Ellen L. Palmer, Bowen Jin, et al.. (2023). Integrating Computational Approaches to Predict the Effect of Genetic Variants on Protein Stability in Retinal Degenerative Disease. Advances in experimental medicine and biology. 1415. 157–163.
4.
Jin, Bowen, et al.. (2023). Pulmonary hypertension— a novel phenotypic hypothesis of Kabuki syndrome: a case report and literature review. BMC Pediatrics. 23(1). 429–429. 2 indexed citations
5.
Jin, Bowen, John A. Capra, Penelope Benchek, et al.. (2022). An association test of the spatial distribution of rare missense variants within protein structures identifies Alzheimer's disease–related patterns. Genome Research. 32(4). 778–790. 3 indexed citations
6.
Jin, Bowen, et al.. (2022). Interaction of sleep duration and depression on cardiovascular disease: a retrospective cohort study. BMC Public Health. 22(1). 1752–1752. 15 indexed citations
7.
Li, Bian, Bowen Jin, John A. Capra, & William S. Bush. (2022). Integration of Protein Structure and Population-Scale DNA Sequence Data for Disease Gene Discovery and Variant Interpretation. PubMed. 5(1). 141–161. 1 indexed citations
8.
Li, Shanshan, Bowen Jin, Yang Wu, et al.. (2020). Where the congenital heart disease meets the pulmonary arterial hypertension, FLNA matters: a case report and literature review. BMC Pediatrics. 20(1). 504–504. 8 indexed citations
9.
Tang, Zheng-Zheng, Gregory Sliwoski, Guanhua Chen, et al.. (2020). PSCAN: Spatial scan tests guided by protein structures improve complex disease gene discovery and signal variant detection. Genome biology. 21(1). 217–217. 8 indexed citations
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Jin, Bowen, Shanshan Li, Yaping Li, et al.. (2019). Guideline implementation and early risk assessment in pulmonary arterial hypertension associated with congenital heart disease: A retrospective cohort study. The Clinical Respiratory Journal. 13(11). 693–699. 10 indexed citations
12.
Jin, Bowen, et al.. (2018). HPEPDOCK: a web server for blind peptide–protein docking based on a hierarchical algorithm. Nucleic Acids Research. 46(W1). W443–W450. 398 indexed citations breakdown →
13.
Li, Botong, et al.. (2018). Hierarchical Flexible Peptide Docking by Conformer Generation and Ensemble Docking of Peptides. Journal of Chemical Information and Modeling. 58(6). 1292–1302. 52 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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