Shyam Prabhakar

12.4k total citations · 3 hit papers
70 papers, 5.3k citations indexed

About

Shyam Prabhakar is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Shyam Prabhakar has authored 70 papers receiving a total of 5.3k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Molecular Biology, 14 papers in Genetics and 8 papers in Cancer Research. Recurrent topics in Shyam Prabhakar's work include Genomics and Chromatin Dynamics (27 papers), RNA and protein synthesis mechanisms (13 papers) and Single-cell and spatial transcriptomics (12 papers). Shyam Prabhakar is often cited by papers focused on Genomics and Chromatin Dynamics (27 papers), RNA and protein synthesis mechanisms (13 papers) and Single-cell and spatial transcriptomics (12 papers). Shyam Prabhakar collaborates with scholars based in Singapore, United States and United Kingdom. Shyam Prabhakar's co-authors include Edward M. Rubin, James P. Noonan, Veena Afzal, Malak Shoukry, L Pennacchio, Olivier Couronne, Svante Pääbo, Jennifer A. Akiyama, Axel Visel and Ingrid Plajzer-Frick and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Shyam Prabhakar

70 papers receiving 5.2k 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.

In vivo enhancer analysis of human conserved non-coding sequences

2006 860 citations L Pennacchio, Shyam Prabhakar et al. profile →
Reference component analysis of single-cell transcriptomes elucidates cellular heterogeneity in human colorectal tumors

2017 722 citations Kok Hao Chen, Jolene Jie Lin Goh et al. Nature Genetics profile →
BANKSY unifies cell typing and tissue domain segmentation for scalable spatial omics data analysis

2024 75 citations Vipul Singhal, Nigel Chou et al. Nature Genetics profile →

Peers

Countries citing papers authored by Shyam Prabhakar

Since Specialization

Citations

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

Fields of papers citing papers by Shyam Prabhakar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shyam Prabhakar

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

#	Work	Indexed citations
1	Systematic immune cell dysregulation and molecular subtypes revealed by single-cell RNA-seq of subjects with type 1 diabetes 2024 ·Genome Medicine ·Mohammad Amin Honardoost, (unknown), Florian Schmidt, Bobby Ranjan, (unknown), Nirmala Arul Rayan, Michelle Gek Liang Lim, Ignasius Joanito, Quy Xiao Xuan Lin, Deepa Rajagopalan, Shi Qi Mok, You Yi Hwang, Anis Larbi, Chiea Chuen Khor, Roger Foo, Bernhard O. Boehm, Shyam Prabhakar	14
2	Highly sensitive spatial transcriptomics using FISHnCHIPs of multiple co-expressed genes 2024 ·Nature Communications ·(unknown), Wan Yi Seow, (unknown), (unknown), (unknown), (unknown), Jolene Jie Lin Goh, Shyam Prabhakar, Nigel Chou, Kok Hao Chen	4
3	Shared and unique transcriptomic signatures of antidepressant and probiotics action in the mammalian brain 2024 ·Molecular Psychiatry ·Nirmala Arul Rayan, Jonathan Aow, Michelle Gek Liang Lim, Danusa Mar Arcego, Richard M. Ryan, (unknown), (unknown), (unknown), Tie Yuan Zhang, Yeek Teck Goh, Alfred Xuyang Sun, Thomas A. Tompkins, Stéphane Bronner, Sylvie Binda, Josie Diorio, Carine Parent, Michael J. Meaney, Shyam Prabhakar	7
4	BANKSY unifies cell typing and tissue domain segmentation for scalable spatial omics data analysis breakdown → 2024 ·Nature Genetics ·Vipul Singhal, Nigel Chou, Joseph Lee, (unknown), Jinyue Liu, (unknown), Li Lin, Yun‐Ching Chang, (unknown), Jonathan Aow, Hwee Kuan Lee, Kok Hao Chen, Shyam Prabhakar	75
5	Chronic inflammation deters natural killer cell fitness and cytotoxicity in myeloid leukemia 2024 ·Blood Advances ·Valeriya Kuznetsova, Vaidehi Krishnan, (unknown), Xi Ren, (unknown), Sweta B. Patel, (unknown), (unknown), (unknown), (unknown), (unknown), Lorena Lôbo de Figueiredo-Pontes, Ravi Bhatia, Shyam Prabhakar, S. Tiong Ong, Robert S. Welner	3
6	Demuxafy: improvement in droplet assignment by integrating multiple single-cell demultiplexing and doublet detection methods 2024 ·Genome biology ·Drew Neavin, Anne Senabouth, (unknown), Jimmy Tsz Hang Lee, (unknown), Lude Franke, Shyam Prabhakar, Chun Ye, Davis J. McCarthy, Marta Melé, Martin Hemberg, Joseph E. Powell	14
7	Single-nucleotide variant calling in single-cell sequencing data with Monopogen 2023 ·Nature Biotechnology ·(unknown), (unknown), (unknown), Jun Wang, Xuesen Cheng, (unknown), Kyung Yeon Han, Chung-Chau Hon, Woong‐Yang Park, Jay W. Shin, Haijing Jin, (unknown), Han Chen, Li Ding, Shyam Prabhakar, Nicholas E. Navin, Rui Chen, Ken Chen	19
8	Full-length transcript sequencing of human and mouse cerebral cortex identifies widespread isoform diversity and alternative splicing 2021 ·Cell Reports ·Szi Kay Leung, Aaron R. Jeffries, Isabel Castanho, Ben T. Jordan, Karen Moore, Jonathan Davies, Emma Dempster, Nicholas J. Bray, Paul O’Neill, Elizabeth Tseng, Zeshan Ahmed, David Collier, Erin D. Jeffery, Shyam Prabhakar, Leonard C. Schalkwyk, Connor Jops, Michael J. Gandal, Gloria Sheynkman, Eilís Hannon, Jonathan Mill	84
9	Transposable elements that have recently been mobile in the human genome 2021 ·BMC Genomics ·Matias Autio, (unknown), Arnaud Perrin, (unknown), Roger Foo, Shyam Prabhakar	14
10	Robust CTCF-Based Chromatin Architecture Underpins Epigenetic Changes in the Heart Failure Stress–Gene Response 2019 ·Circulation ·Dominic Paul Lee, Wilson Lek Wen Tan, Chukwuemeka George Anene-Nzelu, Chang Jie Mick Lee, Peter Yiqing Li, (unknown), (unknown), Zenia Tiang, Shi Ling Ng, Xingfan Huang, Efthymios Motakis, Matias Autio, Jianming Jiang, Melissa J. Fullwood, Shyam Prabhakar, Erez Lieberman Aiden, Roger Foo	35
11	Genome-wide DNA methylation profiling identifies convergent molecular signatures associated with idiopathic and syndromic autism in post-mortem human brain tissue 2019 ·Human Molecular Genetics ·Chloe C. Y. Wong, Rebecca G. Smith, Eilís Hannon, Gokul Ramaswami, Neelroop Parikshak, Elham Assary, Claire Troakes, Jérémie Poschmann, Leonard C. Schalkwyk, Wenjie Sun, Shyam Prabhakar, Daniel H. Geschwind, Jonathan Mill	59
12	Genome wide binding (ChIP-Seq) of murine Bapx1 and Sox9 proteins in vivo and in vitro 2016 ·Genomics Data ·Sumantra Chatterjee, Petra Kraus, V. Sivakamasundari, (unknown), Vibhor Kumar, Shyam Prabhakar, Thomas Lufkin	2
13	Comprehensive prediction in 78 human cell lines reveals rigidity and compactness of transcription factor dimers 2013 ·Genome Research ·Aleksander Jankowski, Ewa Szczurek, Ralf Jauch, Jerzy Tiuryn, Shyam Prabhakar	29
14	Regulation of MEIS1 by distal enhancer elements in acute leukemia 2013 ·Leukemia ·(unknown), (unknown), (unknown), Bingjie Li, Joseph J. Kaberlein, (unknown), (unknown), Roger Luo, Jun Ni, Fuhong He, Jun Wu, Ryan J. Mattison, Jing Zhou, (unknown), Shyam Prabhakar, Marcelo A. Nóbrega, Michael J. Thirman	15
15	Uniform, optimal signal processing of mapped deep-sequencing data 2013 ·Nature Biotechnology ·Vibhor Kumar, Masafumi Muratani, Nirmala Arul Rayan, Petra Kraus, Thomas Lufkin, Huck‐Hui Ng, Shyam Prabhakar	98
16	TherMos: Estimating protein–DNA binding energies from in vivo binding profiles 2013 ·Nucleic Acids Research ·Wenjie Sun, Xiaoming Hu, (unknown), Calista Keow Leng Ng, Siew Hua Choo, Diogo S. Castro, Daniela Drechsel, François Guillemot, Prasanna R. Kolatkar, Ralf Jauch, Shyam Prabhakar	15
17	Structure of Smad1 MH1/DNA complex reveals distinctive rearrangements of BMP and TGF-β effectors 2010 ·Nucleic Acids Research ·Nithya Baburajendran, Paaventhan Palasingam, Kamesh Narasimhan, Wenjie Sun, Shyam Prabhakar, Ralf Jauch, Prasanna R. Kolatkar	61
18	Human-Specific Gain of Function in a Developmental Enhancer 2008 ·Science ·Shyam Prabhakar, Axel Visel, Jennifer A. Akiyama, Malak Shoukry, (unknown), Amy Holt, Ingrid Plajzer-Frick, Harris Morrison, David Fitzpatrick, Veena Afzal, L Pennacchio, Edward M. Rubin, James P. Noonan	246
19	Accelerated Evolution of Conserved Noncoding Sequences in Humans 2006 ·Science ·Shyam Prabhakar, James P. Noonan, Svante Pääbo, Edward M. Rubin	315
20	Detection of Weakly Conserved Ancestral Mammalian Regulatory Sequences by Primate \nComparisons 2006 ·eScholarship (California Digital Library) ·Qian‐Fei Wang, Shyam Prabhakar, (unknown), Jan‐Fang Cheng, Edward M. Rubin, Dario Boffelli	54

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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