Rani K. Powers

2.4k total citations · 2 hit papers
12 papers, 1.1k citations indexed

About

Rani K. Powers is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Epidemiology. According to data from OpenAlex, Rani K. Powers has authored 12 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 2 papers in Pulmonary and Respiratory Medicine and 2 papers in Epidemiology. Recurrent topics in Rani K. Powers's work include Machine Learning in Bioinformatics (4 papers), Bioinformatics and Genomic Networks (4 papers) and Respiratory Support and Mechanisms (2 papers). Rani K. Powers is often cited by papers focused on Machine Learning in Bioinformatics (4 papers), Bioinformatics and Genomic Networks (4 papers) and Respiratory Support and Mechanisms (2 papers). Rani K. Powers collaborates with scholars based in United States, Italy and United Kingdom. Rani K. Powers's co-authors include James C. Costello, Diogo M. Camacho, James J. Collins, Katherine M. Collins, Aik Choon Tan, Daniel Bojar, Longlong Si, Girija Goyal, Rachelle Prantil‐Baun and Yunhao Zhai and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Clinical Investigation.

In The Last Decade

Rani K. Powers

12 papers receiving 1.0k 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.

Next-Generation Machine Learning for Biological Networks

2018 608 citations Diogo M. Camacho, Katherine M. Collins et al. Cell profile →
Mechanical control of innate immune responses against viral infection revealed in a human lung alveolus chip

2022 107 citations Haiqing Bai, Longlong Si et al. Nature Communications profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Rani K. Powers United States	8	599	148	139	111	91	12	1.1k
Zhenjun Hu United States	20	1.2k 2.0×	122 0.8×	68 0.5×	106 1.0×	231 2.5×	36	1.8k
Junil Kim South Korea	22	1.0k 1.7×	89 0.6×	54 0.4×	178 1.6×	59 0.6×	67	1.4k
Weimin Tang United States	20	530 0.9×	134 0.9×	96 0.7×	119 1.1×	34 0.4×	50	1.2k
Jie Bao China	24	668 1.1×	134 0.9×	372 2.7×	241 2.2×	64 0.7×	85	1.6k
Shiva Kumar India	8	670 1.1×	54 0.4×	85 0.6×	130 1.2×	79 0.9×	13	1.1k
Zijing Liu China	22	465 0.8×	120 0.8×	156 1.1×	191 1.7×	81 0.9×	54	1.5k
Ning Lin China	22	901 1.5×	67 0.5×	53 0.4×	326 2.9×	55 0.6×	88	1.6k
Konstantinos Sidiropoulos United Kingdom	9	650 1.1×	47 0.3×	115 0.8×	163 1.5×	73 0.8×	23	1.2k
Attila Gábor Germany	14	615 1.0×	75 0.5×	34 0.2×	81 0.7×	81 0.9×	27	930
Anne-Christin Hauschild Germany	20	744 1.2×	341 2.3×	98 0.7×	368 3.3×	59 0.6×	43	1.4k

Countries citing papers authored by Rani K. Powers

Since Specialization

Citations

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

Fields of papers citing papers by Rani K. Powers

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rani K. Powers. 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 Rani K. Powers. The network helps show where Rani K. Powers may publish in the future.

Co-authorship network of co-authors of Rani K. Powers

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

All Works

Sort: Min cites: Since: Top N: Style:

12 of 12 papers shown

Bai, Haiqing, Melissa Rodas, Longlong Si, et al.. (2025). Host Serine Proteases and Antiviral Innate Immunity as Potential Therapeutic Targets in Influenza A Virus Infection-Induced COPD Exacerbations. International Journal of Molecular Sciences. 26(6). 2549–2549. 1 indexed citations

Valeri, Jacqueline A., Luis R. Soenksen, Katherine M. Collins, et al.. (2023). BioAutoMATED: An end-to-end automated machine learning tool for explanation and design of biological sequences. Cell Systems. 14(6). 525–542.e9. 19 indexed citations

Bai, Haiqing, Longlong Si, Amanda Jiang, et al.. (2022). Mechanical control of innate immune responses against viral infection revealed in a human lung alveolus chip. Nature Communications. 13(1). 1928–1928. 107 indexed citations breakdown →

Lee, Alexandra, Dallas L. Mould, Jake Crawford, et al.. (2022). SOPHIE: Generative Neural Networks Separate Common and Specific Transcriptional Responses. Genomics Proteomics & Bioinformatics. 20(5). 912–927. 5 indexed citations

Dvorkin, Daniel, et al.. (2021). Semi-Supervised Learning Using Hierarchical Mixture Models: Gene Essentiality Case Study. Mathematical and Computational Applications. 26(2). 40–40. 1 indexed citations

Bojar, Daniel, Rani K. Powers, Diogo M. Camacho, & James J. Collins. (2020). Deep-Learning Resources for Studying Glycan-Mediated Host-Microbe Interactions. Cell Host & Microbe. 29(1). 132–144.e3. 51 indexed citations

Powers, Rani K., et al.. (2018). GSEA-InContext: identifying novel and common patterns in expression experiments. Bioinformatics. 34(13). i555–i564. 165 indexed citations

Ravanelli, Andrew M., et al.. (2018). Sequential specification of oligodendrocyte lineage cells by distinct levels of Hedgehog and Notch signaling. Developmental Biology. 444(2). 93–106. 29 indexed citations

Vartuli, Rebecca L., Hengbo Zhou, Lingdi Zhang, et al.. (2018). Eya3 promotes breast tumor–associated immune suppression via threonine phosphatase–mediated PD-L1 upregulation. Journal of Clinical Investigation. 128(6). 2535–2550. 34 indexed citations

10.

Camacho, Diogo M., Katherine M. Collins, Rani K. Powers, James C. Costello, & James J. Collins. (2018). Next-Generation Machine Learning for Biological Networks. Cell. 173(7). 1581–1592. 608 indexed citations breakdown →

11.

Morgan, Michael J., Brent E. Fitzwalter, Charles R. Owens, et al.. (2018). Metastatic cells are preferentially vulnerable to lysosomal inhibition. Proceedings of the National Academy of Sciences. 115(36). E8479–E8488. 40 indexed citations

12.

Oliphant, Michael, Ahwan Pandey, Rani K. Powers, et al.. (2018). Abstract 5001: Identification of a Six2/Sox2/Nanog stem cell axis that promotes breast cancer metastatic colonization. Cancer Research. 78(13_Supplement). 5001–5001. 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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