Gokul N. Ramadoss

1.2k total citations · 1 hit paper
6 papers, 644 citations indexed

About

Gokul N. Ramadoss is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Infectious Diseases. According to data from OpenAlex, Gokul N. Ramadoss has authored 6 papers receiving a total of 644 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Cellular and Molecular Neuroscience and 1 paper in Infectious Diseases. Recurrent topics in Gokul N. Ramadoss's work include Pluripotent Stem Cells Research (3 papers), CRISPR and Genetic Engineering (3 papers) and Cardiac electrophysiology and arrhythmias (1 paper). Gokul N. Ramadoss is often cited by papers focused on Pluripotent Stem Cells Research (3 papers), CRISPR and Genetic Engineering (3 papers) and Cardiac electrophysiology and arrhythmias (1 paper). Gokul N. Ramadoss collaborates with scholars based in United States, Netherlands and Canada. Gokul N. Ramadoss's co-authors include Jonathan S. Weissman, Volker Hovestadt, Joseph M. Replogle, Luke A. Gilbert, Angela N. Pogson, Chen Jin, Manuel D. Leonetti, B Bernstein, James K. Nuñez and Carmen Adriaens and has published in prestigious journals such as Cell, Nature Communications and Advanced Functional Materials.

In The Last Decade

Gokul N. Ramadoss

6 papers receiving 632 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.

Genome-wide programmable transcriptional memory by CRISPR-based epigenome editing

2021 433 citations James K. Nuñez, Chen Jin et al. Cell profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Gokul N. Ramadoss United States	5	481	96	90	60	56	6	644
Justin Langerman United States	11	515 1.1×	80 0.8×	160 1.8×	18 0.3×	32 0.6×	16	690
Valérie Risson France	11	360 0.7×	65 0.7×	131 1.5×	28 0.5×	179 3.2×	14	583
María Gabriela Thomas Argentina	13	639 1.3×	47 0.5×	60 0.7×	63 1.1×	42 0.8×	28	829
Dalia Halawani United States	10	390 0.8×	26 0.3×	39 0.4×	86 1.4×	45 0.8×	16	627
Ángela Macia United States	12	880 1.8×	55 0.6×	205 2.3×	29 0.5×	42 0.8×	14	1.1k
Emilie Besnard France	9	872 1.8×	82 0.9×	60 0.7×	34 0.6×	20 0.4×	10	1.1k
Tarsha Ward United States	17	645 1.3×	11 0.1×	65 0.7×	37 0.6×	32 0.6×	24	898
Zhenzhong Li China	14	357 0.7×	40 0.4×	28 0.3×	52 0.9×	71 1.3×	37	664
Paul Baum United States	12	294 0.6×	114 1.2×	46 0.5×	86 1.4×	10 0.2×	17	773
Dianne C. Daniel United States	12	336 0.7×	21 0.2×	115 1.3×	34 0.6×	38 0.7×	17	520

Countries citing papers authored by Gokul N. Ramadoss

Since Specialization

Citations

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

Fields of papers citing papers by Gokul N. Ramadoss

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gokul N. Ramadoss. 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 Gokul N. Ramadoss. The network helps show where Gokul N. Ramadoss may publish in the future.

Co-authorship network of co-authors of Gokul N. Ramadoss

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

All Works

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6 of 6 papers shown

1.

Ramadoss, Gokul N., et al.. (2025). Programmable epigenome editing by transient delivery of CRISPR epigenome editor ribonucleoproteins. Nature Communications. 16(1). 7948–7948. 3 indexed citations

2.

Pérez-Bermejo, Juan A., Michael S. Kang, Sarah J. Rockwood, et al.. (2021). SARS-CoV-2 infection of human iPSC–derived cardiac cells reflects cytopathic features in hearts of patients with COVID-19. Science Translational Medicine. 13(590). 130 indexed citations

3.

Wu, Kenneth, Hannah L. Watry, Gokul N. Ramadoss, et al.. (2021). Allele-Specific Gene Editing Rescues Pathology in a Human Model of Charcot-Marie-Tooth Disease Type 2E. Frontiers in Cell and Developmental Biology. 9. 723023–723023. 16 indexed citations

4.

Nuñez, James K., Chen Jin, J. Zachery Cogan, et al.. (2021). Genome-wide programmable transcriptional memory by CRISPR-based epigenome editing. Cell. 184(9). 2503–2519.e17. 433 indexed citations breakdown →

5.

Adil, Maroof M., Thomas Gaj, Antara Rao, et al.. (2018). hPSC-Derived Striatal Cells Generated Using a Scalable 3D Hydrogel Promote Recovery in a Huntington Disease Mouse Model. Stem Cell Reports. 10(5). 1481–1491. 39 indexed citations

6.

Adil, Maroof M., Antara Rao, Gokul N. Ramadoss, et al.. (2018). Dopaminergic Neurons Transplanted Using Cell‐Instructive Biomaterials Alleviate Parkinsonism in Rodents. Advanced Functional Materials. 28(41). 23 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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