Ritambhara Singh

3.5k total citations · 1 hit paper
47 papers, 1.9k citations indexed

About

Ritambhara Singh is a scholar working on Molecular Biology, Artificial Intelligence and Cancer Research. According to data from OpenAlex, Ritambhara Singh has authored 47 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Molecular Biology, 10 papers in Artificial Intelligence and 6 papers in Cancer Research. Recurrent topics in Ritambhara Singh's work include Single-cell and spatial transcriptomics (14 papers), Genomics and Chromatin Dynamics (11 papers) and Epigenetics and DNA Methylation (10 papers). Ritambhara Singh is often cited by papers focused on Single-cell and spatial transcriptomics (14 papers), Genomics and Chromatin Dynamics (11 papers) and Epigenetics and DNA Methylation (10 papers). Ritambhara Singh collaborates with scholars based in United States, Germany and France. Ritambhara Singh's co-authors include Mazhar Adli, Cem Kuscu, Jeremy Thorpe, Şevki Arslan, Yanjun Qi, Jack Lanchantin, Gabriel Robins, Carsten Eickhoff, Aaron R. Quinlan and William Stafford Noble and has published in prestigious journals such as Cell, Nucleic Acids Research and Nature Communications.

In The Last Decade

Ritambhara Singh

38 papers receiving 1.8k 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 analysis reveals characteristics of off-target sites bound by the Cas9 endonuclease

2014 609 citations Ritambhara Singh et al. profile →

Peers

Countries citing papers authored by Ritambhara Singh

Since Specialization

Citations

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

Fields of papers citing papers by Ritambhara Singh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ritambhara Singh

This figure shows the co-authorship network connecting the top 25 collaborators of Ritambhara Singh. A scholar is included among the top collaborators of Ritambhara Singh 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 Ritambhara Singh. Ritambhara Singh 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:

20 of 20 papers shown

#	Work	Indexed citations
1	Forgotten Polygons: Multimodal Large Language Models are Shape-Blind 2025 ·William J. Rudman, (unknown), Amir Bar, (unknown), Yann LeCun, Carsten Eickhoff, Ritambhara Singh	1
2	Single-cell genomics of the mouse olfactory cortex reveals contrasts with neocortex and ancestral signatures of cell type evolution 2025 ·Nature Neuroscience ·(unknown), (unknown), Pınar Demetçi, David H. Brann, (unknown), (unknown), Noga Zilkha, Tali Kimchi, Sandeep Robert Datta, Ritambhara Singh, Maria Antonietta Tosches, Anton Crombach, Alexander Fleischmann	0
3	Histone mark age of human tissues and cell types 2025 ·Science Advances ·(unknown), (unknown), Steve Horvath, Erica Larschan, Ritambhara Singh	9
4	Machine learning on multiple epigenetic features reveals H3K27Ac as a driver of gene expression prediction across patients with glioblastoma 2025 ·PLoS Computational Biology ·(unknown), (unknown), (unknown), (unknown), (unknown), Nikos Tapinos, Ritambhara Singh	0
5	K-Paths: Reasoning over Graph Paths for Drug Repurposing and Drug Interaction Prediction 2025 ·(unknown), (unknown), Nihal V. Nayak, (unknown), Stephen H. Bach, Carsten Eickhoff, Ritambhara Singh	0
6	`scNODE` : generative model for temporal single cell transcriptomic data prediction 2024 ·Bioinformatics ·Jiaqi Zhang, Erica Larschan, (unknown), Ritambhara Singh	6
7	scGrapHiC: deep learning-based graph deconvolution for Hi-C using single cell gene expression 2024 ·Bioinformatics ·(unknown), (unknown), Justin Wagner, Ritambhara Singh	1
8	Retrieval-Based Diagnostic Decision Support: Mixed Methods Study 2024 ·JMIR Medical Informatics ·(unknown), (unknown), Ritambhara Singh, Carsten Eickhoff	5
9	Comparative analysis of animal lifespan 2023 ·GeroScience ·Nicole C. Riddle, Peggy R. Biga, Anne M. Bronikowski, James R. Walters, Gerald S. Wilkinson, Jingyue Duan, (unknown), Erica Larschan, Richard P. Meisel, Ritambhara Singh, Ashley E. Webb	6
10	Learning to Make Rare and Complex Diagnoses With Generative AI Assistance: Qualitative Study of Popular Large Language Models 2023 ·JMIR Medical Education ·(unknown), Ritambhara Singh, Carsten Eickhoff	35
11	CellBiAge: Improved single-cell age classification using data binarization 2023 ·Cell Reports ·Doudou Yu, Manlin Li, (unknown), (unknown), (unknown), An Wang, Ritambhara Singh, Ashley E. Webb	6
12	SCOTv2: Single-Cell Multiomic Alignment with Disproportionate Cell-Type Representation 2022 ·Journal of Computational Biology ·Pınar Demetçi, (unknown), (unknown), Björn Sandstede, Ritambhara Singh	4
13	Single-Cell Multiomics Integration by SCOT 2022 ·Journal of Computational Biology ·Pınar Demetçi, (unknown), Björn Sandstede, William Stafford Noble, Ritambhara Singh	3
14	Integrating Long-Range Regulatory Interactions to Predict Gene Expression Using Graph Convolutional Networks 2022 ·Journal of Computational Biology ·(unknown), (unknown), Shalin S. Patel, Erica Larschan, Ritambhara Singh	15
15	SCOT: Single-Cell Multi-Omics Alignment with Optimal Transport 2022 ·Journal of Computational Biology ·Pınar Demetçi, (unknown), Björn Sandstede, William Stafford Noble, Ritambhara Singh	57
16	Single-cell landscape of nuclear configuration and gene expression during stem cell differentiation and X inactivation 2021 ·Genome biology ·Giancarlo Bonora, Vijay Ramani, Ritambhara Singh, He Fang, Dana L. Jackson, Sanjay Srivatsan, Ruolan Qiu, Choli Lee, Cole Trapnell, Jay Shendure, Zhijun Duan, Xinxian Deng, William Stafford Noble, Christine M. Distèche	16
17	TIMEOR: a web-based tool to uncover temporal regulatory mechanisms from multi-omics data 2021 ·Nucleic Acids Research ·(unknown), (unknown), Yanhui Hu, Norbert Perrimon, Ritambhara Singh, Charles E. Lawrence, Erica Larschan	16
18	FastSK: fast sequence analysis with gapped string kernels 2020 ·Bioinformatics ·(unknown), (unknown), Ritambhara Singh, A. J. Norton, Jack Lanchantin, Yanjun Qi	5
19	Jointly Embedding Multiple Single-Cell Omics Measurements 2019 ·HAL (Le Centre pour la Communication Scientifique Directe) ·Jie Liu, Yuanhao Huang, Ritambhara Singh, Jean‐Philippe Vert, William Stafford Noble	10
20	Transfer String Kernel for Cross-Context DNA-Protein Binding Prediction 2016 ·IEEE/ACM Transactions on Computational Biology and Bioinformatics ·Ritambhara Singh, Jack Lanchantin, Gabriel Robins, Yanjun Qi	2

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.

Explore authors with similar magnitude of impact