Vidya Subramanian

7.5k total citations · 4 hit papers
35 papers, 5.2k citations indexed

About

Vidya Subramanian is a scholar working on Molecular Biology, Epidemiology and Biochemistry. According to data from OpenAlex, Vidya Subramanian has authored 35 papers receiving a total of 5.2k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 7 papers in Epidemiology and 6 papers in Biochemistry. Recurrent topics in Vidya Subramanian's work include Genomics and Chromatin Dynamics (7 papers), Lipid metabolism and biosynthesis (6 papers) and Research in Cotton Cultivation (5 papers). Vidya Subramanian is often cited by papers focused on Genomics and Chromatin Dynamics (7 papers), Lipid metabolism and biosynthesis (6 papers) and Research in Cotton Cultivation (5 papers). Vidya Subramanian collaborates with scholars based in United States, Singapore and India. Vidya Subramanian's co-authors include Anthony W. Ferrante, Lata Mukundan, Ajay Chawla, Divya Vats, Justin I. Odegaard, Roberto R. Ricardo-González, Christine R. Morel, Frank Brombacher, Dawn Brasaemle and Anne Garcia and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Vidya Subramanian

34 papers receiving 5.1k citations

Hit Papers

Macrophage-specific PPARγ controls alternative activation... 2007 2026 2013 2019 2007 2008 2019 2019 500 1000 1.5k
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.

  1. Macrophage-specific PPARγ controls alternative activation and improves insulin resistance
    2007 1.7k citations Justin I. Odegaard, Roberto R. Ricardo-González et al. profile →
  2. Alternative M2 Activation of Kupffer Cells by PPARδ Ameliorates Obesity-Induced Insulin Resistance
    2008 692 citations Justin I. Odegaard, Roberto R. Ricardo-González et al. Cell Metabolism profile →
  3. Activity-by-contact model of enhancer–promoter regulation from thousands of CRISPR perturbations
    2019 522 citations Charles P. Fulco, Joseph Nasser et al. Nature Genetics profile →
  4. Optimal-Transport Analysis of Single-Cell Gene Expression Identifies Developmental Trajectories in Reprogramming
    2019 409 citations Geoffrey Schiebinger, Jian Shu et al. Cell profile →

Peers

Vidya Subramanian
Leon O. Murphy United States
Carlos Enrich Spain
Kyoung‐Jae Won United States
Daniel N. Hebert United States
Masaaki Muramatsu Japan
Adrian T. Ting United States
Ivan Topisirović Canada
Sophie Rome France
Susan Goelz United States
Bénédicte F. Py France
Leon O. Murphy United States
Vidya Subramanian
Citations per year, relative to Vidya Subramanian Vidya Subramanian (= 1×) peers Leon O. Murphy

Countries citing papers authored by Vidya Subramanian

Since Specialization
Citations

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

Fields of papers citing papers by Vidya Subramanian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vidya Subramanian

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

All Works

20 of 20 papers shown
1.
Subramanian, Vidya, et al.. (2024). Algorithms and Recidivism: A Multi-disciplinary Systematic Review. Proceedings of the AAAI/ACM Conference on AI Ethics and Society. 7. 1292–1305.
2.
Clark, Thomas A., Vidya Subramanian, Akila Jayaraman, et al.. (2023). Enhancing antibody affinity through experimental sampling of non-deleterious CDR mutations predicted by machine learning. Communications Chemistry. 6(1). 244–244. 14 indexed citations
3.
Tharakaraman, Kannan, Vidya Subramanian, Mathuros Ruchirawat, et al.. (2023). Generation of bispecific antibodies by structure-guided redesign of IgG constant regions. Frontiers in Immunology. 13. 1063002–1063002. 3 indexed citations
4.
Gupta, Anika, Jorge D. Martin-Rufino, Thouis R. Jones, et al.. (2022). Inferring gene regulation from stochastic transcriptional variation across single cells at steady state. Proceedings of the National Academy of Sciences. 119(34). e2207392119–e2207392119. 18 indexed citations
5.
Miller, Nathaniel L., Vidya Subramanian, Thomas A. Clark, Rahul Raman, & Ram Sasisekharan. (2022). Conserved topology of virus glycoepitopes presents novel targets for repurposing HIV antibody 2G12. Scientific Reports. 12(1). 2594–2594. 5 indexed citations
6.
Marshall, Jamie L., Benjamin R. Doughty, Vidya Subramanian, et al.. (2020). HyPR-seq: Single-cell quantification of chosen RNAs via hybridization and sequencing of DNA probes. Proceedings of the National Academy of Sciences. 117(52). 33404–33413. 24 indexed citations
7.
Fulco, Charles P., Joseph Nasser, Thouis R. Jones, et al.. (2019). Activity-by-contact model of enhancer–promoter regulation from thousands of CRISPR perturbations. Nature Genetics. 51(12). 1664–1669. 522 indexed citations breakdown →
8.
Schiebinger, Geoffrey, Jian Shu, Marcin Tabaka, et al.. (2019). Optimal-Transport Analysis of Single-Cell Gene Expression Identifies Developmental Trajectories in Reprogramming. Cell. 176(4). 928–943.e22. 409 indexed citations breakdown →
9.
Tharakaraman, Kannan, Satoru Watanabe, Kuan Rong Chan, et al.. (2018). Rational Engineering and Characterization of an mAb that Neutralizes Zika Virus by Targeting a Mutationally Constrained Quaternary Epitope. Cell Host & Microbe. 23(5). 618–627.e6. 25 indexed citations
10.
Raman, Rahul, et al.. (2017). An inter-residue network model to identify mutational-constrained regions on the Ebola coat glycoprotein. Scientific Reports. 7(1). 45886–45886. 4 indexed citations
11.
Subramanian, Vidya, Chenchen Zhu, Tsung-Han S. Hsieh, et al.. (2015). Chromatin Dynamics and the RNA Exosome Function in Concert to Regulate Transcriptional Homeostasis. Cell Reports. 13(8). 1610–1622. 28 indexed citations
12.
Subramanian, Vidya, Paul Fields, & Laurie A. Boyer. (2015). H2A.Z: a molecular rheostat for transcriptional control. F1000Prime Reports. 7. 1–1. 80 indexed citations
13.
Tharakaraman, Kannan, Vidya Subramanian, David Cain, V. Sasisekharan, & Ram Sasisekharan. (2014). Broadly Neutralizing Influenza Hemagglutinin Stem-Specific Antibody CR8020 Targets Residues that Are Prone to Escape due to Host Selection Pressure. Cell Host & Microbe. 15(5). 644–651. 55 indexed citations
14.
Subramanian, Vidya, Aprotim Mazumder, Lauren E. Surface, et al.. (2013). H2A.Z Acidic Patch Couples Chromatin Dynamics to Regulation of Gene Expression Programs during ESC Differentiation. PLoS Genetics. 9(8). e1003725–e1003725. 52 indexed citations
15.
Sharma, Amit, Vidya Subramanian, & D.T. Nair. (2012). The PAD region in the mycobacterial DinB homologue MsPolIV exhibits positional heterogeneity. Acta Crystallographica Section D Biological Crystallography. 68(8). 960–967. 4 indexed citations
16.
Montero-Morán, Gabriela M., Jorge Matías Caviglia, Derek B. McMahon, et al.. (2009). CGI-58/ABHD5 is a coenzyme A-dependent lysophosphatidic acid acyltransferase. Journal of Lipid Research. 51(4). 709–719. 78 indexed citations
17.
Odegaard, Justin I., Roberto R. Ricardo-González, Divya Vats, et al.. (2008). Alternative M2 Activation of Kupffer Cells by PPARδ Ameliorates Obesity-Induced Insulin Resistance. Cell Metabolism. 7(6). 496–507. 692 indexed citations breakdown →
18.
Brasaemle, Dawn, et al.. (2008). Perilipin A and the control of triacylglycerol metabolism. Molecular and Cellular Biochemistry. 326(1-2). 15–21. 152 indexed citations
19.
Subramanian, Vidya, et al.. (2007). Effects of Photochemically Activated Alkylating Agents of the FR900482 Family on Chromatin. Chemistry & Biology. 14(5). 553–563. 7 indexed citations
20.
Subramanian, Vidya, Carlos A. Gómez, Alex W. Cohen, et al.. (2004). Perilipin A Mediates the Reversible Binding of CGI-58 to Lipid Droplets in 3T3-L1 Adipocytes. Journal of Biological Chemistry. 279(40). 42062–42071. 254 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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