Ramya Rangan

2.4k total citations · 1 hit paper
16 papers, 1.2k citations indexed

About

Ramya Rangan is a scholar working on Molecular Biology, Ecology and Structural Biology. According to data from OpenAlex, Ramya Rangan has authored 16 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 3 papers in Ecology and 2 papers in Structural Biology. Recurrent topics in Ramya Rangan's work include RNA and protein synthesis mechanisms (13 papers), RNA modifications and cancer (9 papers) and RNA Research and Splicing (6 papers). Ramya Rangan is often cited by papers focused on RNA and protein synthesis mechanisms (13 papers), RNA modifications and cancer (9 papers) and RNA Research and Splicing (6 papers). Ramya Rangan collaborates with scholars based in United States, China and United Kingdom. Ramya Rangan's co-authors include Rhiju Das, Andrew M. Watkins, Ivan N. Zheludev, Ron O. Dror, Masha Karelina, Stephan Eismann, Raphael J.L. Townshend, Edward A. Pham, Jeffrey S. Glenn and Hannah K. Wayment-Steele and has published in prestigious journals such as Nature, Science and Nucleic Acids Research.

In The Last Decade

Ramya Rangan

16 papers receiving 1.2k 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.

Geometric deep learning of RNA structure

2021 235 citations Raphael J.L. Townshend, Stephan Eismann et al. Science profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ramya Rangan United States	12	1.0k	185	130	100	90	16	1.2k
Rubén Sánchez-García Spain	11	760 0.7×	120 0.6×	133 1.0×	34 0.3×	74 0.8×	28	1.2k
Inari Kursula Finland	22	600 0.6×	53 0.3×	183 1.4×	60 0.6×	31 0.3×	57	1.3k
Maxwell I. Zimmerman United States	17	893 0.9×	386 2.1×	152 1.2×	60 0.6×	115 1.3×	28	1.4k
Matthias Thoms Germany	25	1.9k 1.9×	438 2.4×	47 0.4×	105 1.1×	61 0.7×	36	2.4k
Robert Buschauer Germany	15	1.1k 1.1×	454 2.5×	19 0.1×	114 1.1×	190 2.1×	20	1.6k
Benjamin A. Barad United States	7	720 0.7×	137 0.7×	169 1.3×	44 0.4×	74 0.8×	12	1.0k
Kristina M. Herbert United States	14	888 0.9×	204 1.1×	31 0.2×	33 0.3×	107 1.2×	18	1.3k
Hanna Kratzat Germany	11	734 0.7×	414 2.2×	30 0.2×	90 0.9×	49 0.5×	12	1.1k
J. Jeremías Incicco United States	10	1.0k 1.0×	228 1.2×	109 0.8×	44 0.4×	81 0.9×	15	1.3k
Ludovic Renault United Kingdom	20	1.2k 1.2×	150 0.8×	94 0.7×	8 0.1×	53 0.6×	29	1.4k

Countries citing papers authored by Ramya Rangan

Since Specialization

Citations

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

Fields of papers citing papers by Ramya Rangan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ramya Rangan

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

All Works

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16 of 16 papers shown

Rangan, Ramya, et al.. (2025). Comprehensive analysis of Saccharomyces cerevisiae intron structures in vivo. Nature Structural & Molecular Biology. 32(8). 1488–1502. 1 indexed citations

Rothschild, Daphna, Teodorus Theo Susanto, Xin Sui, et al.. (2024). Diversity of ribosomes at the level of rRNA variation associated with human health and disease. Cell Genomics. 4(9). 100629–100629. 10 indexed citations

Rangan, Ramya, Ryan W. Feathers, Sagar Khavnekar, et al.. (2024). CryoDRGN-ET: deep reconstructing generative networks for visualizing dynamic biomolecules inside cells. Nature Methods. 21(8). 1537–1545. 12 indexed citations

Kryshtafovych, Andriy, Maciej Antczak, Marta Szachniuk, et al.. (2023). New prediction categories in CASP15. Proteins Structure Function and Bioinformatics. 91(12). 1550–1557. 37 indexed citations

Das, Rhiju, Rachael C. Kretsch, Adam J. Simpkin, et al.. (2023). Assessment of three‐dimensional RNA structure prediction in CASP15. Proteins Structure Function and Bioinformatics. 91(12). 1747–1770. 72 indexed citations

Pham, Phillip, Bingnan Luo, Ramya Rangan, et al.. (2022). Auto-DRRAFTER: Automated RNA Modeling Based on Cryo-EM Density. Methods in molecular biology. 2568. 193–211. 10 indexed citations

Townshend, Raphael J.L., Stephan Eismann, Andrew M. Watkins, et al.. (2021). Geometric deep learning of RNA structure. Science. 373(6558). 1047–1051. 235 indexed citations breakdown →

Rangan, Ramya, Andrew M. Watkins, Rachael C. Kretsch, et al.. (2021). De novo3D models of SARS-CoV-2 RNA elements from consensus experimental secondary structures. Nucleic Acids Research. 49(6). 3092–3108. 51 indexed citations

Su, Zhaoming, Kaiming Zhang, Kalli Kappel, et al.. (2021). Cryo-EM structures of full-length Tetrahymena ribozyme at 3.1 Å resolution. Nature. 596(7873). 603–607. 68 indexed citations

10.

Zhang, Kaiming, Ivan N. Zheludev, Yixuan J. Hou, et al.. (2021). Cryo-EM and antisense targeting of the 28-kDa frameshift stimulation element from the SARS-CoV-2 RNA genome. Nature Structural & Molecular Biology. 28(9). 747–754. 111 indexed citations

11.

Ghanim, George E., Anne‐Marie M. van Roon, Ramya Rangan, et al.. (2021). Structure of human telomerase holoenzyme with bound telomeric DNA. Nature. 593(7859). 449–453. 125 indexed citations

12.

Kappel, Kalli, Kaiming Zhang, Zhaoming Su, et al.. (2020). Accelerated cryo-EM-guided determination of three-dimensional RNA-only structures. Nature Methods. 17(7). 699–707. 120 indexed citations

13.

Watkins, Andrew M., Ramya Rangan, & Rhiju Das. (2020). FARFAR2: Improved De Novo Rosetta Prediction of Complex Global RNA Folds. Structure. 28(8). 963–976.e6. 148 indexed citations

14.

Rangan, Ramya, Ivan N. Zheludev, Edward A. Pham, et al.. (2020). RNA genome conservation and secondary structure in SARS-CoV-2 and SARS-related viruses: a first look. RNA. 26(8). 937–959. 172 indexed citations

15.

Kladwang, Wipapat, Ved V. Topkar, Bei Liu, et al.. (2020). Anomalous Reverse Transcription through Chemical Modifications in Polyadenosine Stretches. Biochemistry. 59(23). 2154–2170. 8 indexed citations

16.

Rangan, Ramya, et al.. (2018). Determination of Structural Ensembles of Proteins: Restraining vs Reweighting. Journal of Chemical Theory and Computation. 14(12). 6632–6641. 46 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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