Yuanfang Ren

969 total citations
40 papers, 554 citations indexed

About

Yuanfang Ren is a scholar working on Molecular Biology, Artificial Intelligence and Epidemiology. According to data from OpenAlex, Yuanfang Ren has authored 40 papers receiving a total of 554 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 10 papers in Artificial Intelligence and 8 papers in Epidemiology. Recurrent topics in Yuanfang Ren's work include Bioinformatics and Genomic Networks (11 papers), Machine Learning in Healthcare (8 papers) and Gene Regulatory Network Analysis (7 papers). Yuanfang Ren is often cited by papers focused on Bioinformatics and Genomic Networks (11 papers), Machine Learning in Healthcare (8 papers) and Gene Regulatory Network Analysis (7 papers). Yuanfang Ren collaborates with scholars based in United States, China and Italy. Yuanfang Ren's co-authors include Yan Wu, Azra Bihorac, Tezcan Ozrazgat‐Baslanti, Tyler J. Loftus, Benjamin Shickel, Parisa Rashidi, Matthew M. Ruppert, Tamer Kahveci, Gilbert R. Upchurch and Ahmet Ay and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Yuanfang Ren

35 papers receiving 544 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yuanfang Ren United States	12	144	80	79	77	66	40	554
Stephanie Baker United Kingdom	14	132 0.9×	157 2.0×	34 0.4×	22 0.3×	133 2.0×	30	1.2k
Akhil Vaid United States	16	286 2.0×	311 3.9×	85 1.1×	264 3.4×	47 0.7×	48	1.2k
Christian Bock Switzerland	9	156 1.1×	58 0.7×	18 0.2×	37 0.5×	48 0.7×	28	452
Zhanhao Mo China	13	271 1.9×	30 0.4×	21 0.3×	98 1.3×	41 0.6×	28	805
Shinjini Kundu United States	11	173 1.2×	41 0.5×	40 0.5×	164 2.1×	37 0.6×	19	690
C. Kambhampati United Kingdom	15	364 2.5×	55 0.7×	32 0.4×	190 2.5×	52 0.8×	73	1.3k
Ishanu Chattopadhyay United States	13	121 0.8×	28 0.3×	29 0.4×	10 0.1×	29 0.4×	52	479
Rishikesan Kamaleswaran United States	16	286 2.0×	238 3.0×	96 1.2×	87 1.1×	205 3.1×	117	1.1k
Qing Pan China	15	116 0.8×	184 2.3×	66 0.8×	8 0.1×	68 1.0×	64	794
Peter Weller United Kingdom	11	163 1.1×	40 0.5×	24 0.3×	18 0.2×	94 1.4×	29	550

Countries citing papers authored by Yuanfang Ren

Since Specialization

Citations

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

Fields of papers citing papers by Yuanfang Ren

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuanfang Ren

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

Contreras, Miguel Á., Benjamin Shickel, Tezcan Ozrazgat‐Baslanti, et al.. (2025). Real-time prediction of intensive care unit patient acuity and therapy requirements using state-space modelling. Nature Communications. 16(1). 7315–7315.

Ren, Yuanfang, Parisa Rashidi, Mark S. Segal, et al.. (2025). Epidemiology, trajectories and outcomes of acute kidney injury among hospitalized patients: a large retrospective multicenter cohort study. Journal of Nephrology. 38(6). 1673–1682. 3 indexed citations

Contreras, Miguel Á., et al.. (2025). A large language model for delirium prediction in the intensive care unit using structured electronic health records. Scientific Reports. 15(1). 38890–38890.

Ren, Yuanfang, et al.. (2025). Analysis of social determinants of health and extreme climate events: Identifying vulnerable populations and health outcomes in Jacksonville. Environmental Epidemiology. 9(4). e410–e410.

Loftus, Tyler J., et al.. (2024). Methods for phenotyping adult patients with acute kidney injury: a systematic review. Journal of Nephrology. 38(1). 75–85. 2 indexed citations

Zhou, Yiping, Xiaohua Zhu, Qiang Jiang, et al.. (2024). [Primary observational study of tocilizumab in children with severe acute necrotizing encephalopathy].. PubMed. 62(8). 764–769. 2 indexed citations

Ren, Yuanfang, Yanjun Li, Tyler J. Loftus, et al.. (2024). Identifying acute illness phenotypes via deep temporal interpolation and clustering network on physiologic signatures. Scientific Reports. 14(1). 8442–8442. 1 indexed citations

Sena, Jessica, Jiaqing Zhang, Sabyasachi Bandyopadhyay, et al.. (2024). Wearable sensors in patient acuity assessment in critical care. Frontiers in Neurology. 15. 1386728–1386728. 3 indexed citations

Balch, Jeremy A., Matthew M. Ruppert, Tyler J. Loftus, et al.. (2023). Machine learning-enabled clinical information systems using fast healthcare interoperability data standards: a scoping review (Preprint).

10.

Balch, Jeremy A., Matthew M. Ruppert, Tyler J. Loftus, et al.. (2023). Machine Learning–Enabled Clinical Information Systems Using Fast Healthcare Interoperability Resources Data Standards: Scoping Review. JMIR Medical Informatics. 11. e48297–e48297. 21 indexed citations

11.

Shickel, Benjamin, et al.. (2023). Digital Health Transformers and Opportunities for Artificial Intelligence–Enabled Nephrology. Clinical Journal of the American Society of Nephrology. 18(4). 527–529. 5 indexed citations

12.

Loftus, Tyler J., Patrick Tighe, Tezcan Ozrazgat‐Baslanti, et al.. (2022). Ideal algorithms in healthcare: Explainable, dynamic, precise, autonomous, fair, and reproducible. SHILAP Revista de lepidopterología. 1(1). e0000006–e0000006. 31 indexed citations

13.

Loftus, Tyler J., Benjamin Shickel, Tezcan Ozrazgat‐Baslanti, et al.. (2022). Artificial intelligence-enabled decision support in nephrology. Nature Reviews Nephrology. 18(7). 452–465. 49 indexed citations

14.

Madushani, R. W. M. A., Vishal Patel, Tyler J. Loftus, et al.. (2022). Early Biomarker Signatures in Surgical Sepsis. Journal of Surgical Research. 277. 372–383. 9 indexed citations

15.

Ren, Yuanfang, Tyler J. Loftus, Yanjun Li, et al.. (2022). Physiologic signatures within six hours of hospitalization identify acute illness phenotypes. SHILAP Revista de lepidopterología. 1(10). e0000110–e0000110. 2 indexed citations

16.

Shickel, Benjamin, Tezcan Ozrazgat‐Baslanti, Yuanfang Ren, et al.. (2022). Multi-dimensional patient acuity estimation with longitudinal EHR tokenization and flexible transformer networks. Frontiers in Digital Health. 4. 1029191–1029191. 10 indexed citations

17.

Loftus, Tyler J., Benjamin Shickel, Jeremy A. Balch, et al.. (2022). Phenotype clustering in health care: A narrative review for clinicians. Frontiers in Artificial Intelligence. 5. 842306–842306. 54 indexed citations

18.

Datta, Shounak, Yanjun Li, Matthew M. Ruppert, et al.. (2021). Reinforcement learning in surgery. Surgery. 170(1). 329–332. 31 indexed citations

19.

Ren, Yuanfang, Ahmet Ay, & Tamer Kahveci. (2018). Shortest path counting in probabilistic biological networks. BMC Bioinformatics. 19(1). 465–465. 17 indexed citations

20.

Wang, Qiyao, Yuanfang Ren, Md Mahmudul Hasan, Ahmet Ay, & Tamer Kahveci. (2015). Construction of signaling networks with incomplete RNAi data. 157–162. 1 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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