Gaurav Jain

8.3k total citations · 1 hit paper
20 papers, 2.3k citations indexed

About

Gaurav Jain is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cancer Research. According to data from OpenAlex, Gaurav Jain has authored 20 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 4 papers in Cellular and Molecular Neuroscience and 4 papers in Cancer Research. Recurrent topics in Gaurav Jain's work include Genomics and Chromatin Dynamics (5 papers), RNA regulation and disease (4 papers) and MicroRNA in disease regulation (3 papers). Gaurav Jain is often cited by papers focused on Genomics and Chromatin Dynamics (5 papers), RNA regulation and disease (4 papers) and MicroRNA in disease regulation (3 papers). Gaurav Jain collaborates with scholars based in Germany, United States and United Kingdom. Gaurav Jain's co-authors include Job Dekker, Bryan R. Lajoie, Amartya Sanyal, André Fischer, Vincenzo Capece, Jeannie T. Lee, Ruslan I. Sadreyev, Fei Ji, Hongjae Sunwoo and Robert E. Kingston and has published in prestigious journals such as Nature, Journal of Clinical Investigation and The EMBO Journal.

In The Last Decade

Gaurav Jain

19 papers receiving 2.2k citations

Hit Papers

The long-range interaction landscape of gene promoters 2012 2026 2016 2021 2012 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gaurav Jain Germany 15 1.9k 390 323 249 112 20 2.3k
Gangcai Xie China 16 1.1k 0.6× 210 0.5× 253 0.8× 222 0.9× 148 1.3× 33 1.6k
Daisuke Yamada Japan 22 1.4k 0.8× 295 0.8× 214 0.7× 105 0.4× 104 0.9× 65 2.2k
Thomas Vaissière United States 21 1.6k 0.8× 367 0.9× 266 0.8× 75 0.3× 208 1.9× 28 2.1k
Joachim Kremerskothen Germany 32 1.6k 0.8× 237 0.6× 214 0.7× 86 0.3× 290 2.6× 63 2.4k
Gratien G. Préfontaine Canada 18 1.8k 1.0× 625 1.6× 236 0.7× 149 0.6× 119 1.1× 24 2.3k
Dhruv Kaushal United States 12 1.3k 0.7× 394 1.0× 187 0.6× 135 0.5× 125 1.1× 13 1.8k
Michael J. McConnell United States 13 1.1k 0.6× 676 1.7× 288 0.9× 180 0.7× 245 2.2× 22 1.8k
Ileana Zucchi Italy 25 982 0.5× 345 0.9× 311 1.0× 68 0.3× 253 2.3× 67 1.7k
Cristiana Mollinari Italy 25 1.2k 0.6× 103 0.3× 215 0.7× 154 0.6× 258 2.3× 34 1.8k
Konstantin Khodosevich Denmark 29 1.2k 0.7× 284 0.7× 181 0.6× 186 0.7× 559 5.0× 57 2.1k

Countries citing papers authored by Gaurav Jain

Since Specialization
Citations

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

Fields of papers citing papers by Gaurav Jain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gaurav Jain

This figure shows the co-authorship network connecting the top 25 collaborators of Gaurav Jain. A scholar is included among the top collaborators of Gaurav Jain 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 Gaurav Jain. Gaurav Jain 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.
Xylaki, Mary, Isabel Paiva, Ellen Gerhardt, et al.. (2023). miR-101a-3p Impairs Synaptic Plasticity and Contributes to Synucleinopathy. Journal of Parkinson s Disease. 13(2). 179–196. 9 indexed citations
2.
Gomes, Lucas Caldi, Gaurav Jain, Anna‐Elisa Roser, et al.. (2022). Multi‐omic landscaping of human midbrains identifies disease‐relevant molecular targets and pathways in advanced‐stage Parkinson's disease. Clinical and Translational Medicine. 12(1). e692–e692. 28 indexed citations
3.
Paiva, Isabel, Kévin Carvalho, Patrícia I. Santos, et al.. (2019). A2AR‐induced transcriptional deregulation in astrocytes: An in vitro study. Glia. 67(12). 2329–2342. 25 indexed citations
4.
Berulava, Tea, Tonatiuh Peña, Rezaul Islam, et al.. (2019). Changes in m6A RNA Methylation Contribute to Heart Failure Progression by Modulating Translation. European Journal of Heart Failure. 22(1). 54–66. 240 indexed citations
5.
Roser, Anna‐Elisa, Lucas Caldi Gomes, Rashi Halder, et al.. (2018). miR-182-5p and miR-183-5p Act as GDNF Mimics in Dopaminergic Midbrain Neurons. Molecular Therapy — Nucleic Acids. 11. 9–22. 39 indexed citations
6.
Paiva, Isabel, Gaurav Jain, Diana F. Lázaro, et al.. (2018). Alpha-synuclein deregulates the expression of COL4A2 and impairs ER-Golgi function. Neurobiology of Disease. 119. 121–135. 46 indexed citations
7.
Chowdhury, Arpita, Abhishek Aich, Gaurav Jain, et al.. (2018). Defective Mitochondrial Cardiolipin Remodeling Dampens HIF-1α Expression in Hypoxia. Cell Reports. 25(3). 561–570.e6. 37 indexed citations
8.
Benito, Eva, Cemil Kerimoglu, Binu Ramachandran, et al.. (2018). RNA-Dependent Intergenerational Inheritance of Enhanced Synaptic Plasticity after Environmental Enrichment. Cell Reports. 23(2). 546–554. 99 indexed citations
9.
Agís‐Balboa, Roberto Carlos, Paulo S. Pinheiro, Nelson Rebola, et al.. (2017). Formin 2 links neuropsychiatric phenotypes at young age to an increased risk for dementia. The EMBO Journal. 36(19). 2815–2828. 29 indexed citations
10.
Gupta, Kunal, et al.. (2017). A Review : Comparative Study of Edge Detection Techniques. International Journal of Advanced Research in Computer Science. 8(5). 2528–2531. 9 indexed citations
11.
Kundu, Sharmistha, Fei Ji, Hongjae Sunwoo, et al.. (2017). Polycomb Repressive Complex 1 Generates Discrete Compacted Domains that Change during Differentiation. Molecular Cell. 65(3). 432–446.e5. 237 indexed citations
12.
Kerimoglu, Cemil, M. Sadman Sakib, Gaurav Jain, et al.. (2017). KMT2A and KMT2B Mediate Memory Function by Affecting Distinct Genomic Regions. Cell Reports. 20(3). 538–548. 62 indexed citations
13.
Wang, Yong, Weili Lin, Chun Li, et al.. (2017). Multipronged Therapeutic Effects of Chinese Herbal Medicine Qishenyiqi in the Treatment of Acute Myocardial Infarction. Frontiers in Pharmacology. 8. 98–98. 26 indexed citations
14.
Smith, Emily M., Bryan R. Lajoie, Gaurav Jain, & Job Dekker. (2016). Invariant TAD Boundaries Constrain Cell-Type-Specific Looping Interactions between Promoters and Distal Elements around the CFTR Locus. The American Journal of Human Genetics. 98(1). 185–201. 99 indexed citations
15.
Whittle, Nigel, Dietmar Rieder, Andrea Delekate, et al.. (2016). Satb2 determines miRNA expression and long-term memory in the adult central nervous system. eLife. 5. 57 indexed citations
16.
Jain, Gaurav, et al.. (2016). GAMS: Genome Assembly on Multi-GPU Using String Graph. 42. 348–355. 1 indexed citations
17.
Benito, Eva, Hendrik Urbanke, Binu Ramachandran, et al.. (2015). HDAC inhibitor–dependent transcriptome and memory reinstatement in cognitive decline models. Journal of Clinical Investigation. 125(9). 3572–3584. 142 indexed citations
18.
Sanyal, Amartya, Bryan R. Lajoie, Gaurav Jain, & Job Dekker. (2012). The long-range interaction landscape of gene promoters. Nature. 489(7414). 109–113. 1064 indexed citations breakdown →
19.
Jain, Gaurav, et al.. (2009). Genomic Comparison of Bacterial Species Based on Metabolic Characteristics. 8 200. 77–83. 1 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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