Vivek Bhardwaj

12.3k total citations · 3 hit papers
19 papers, 6.0k citations indexed

About

Vivek Bhardwaj is a scholar working on Molecular Biology, Surgery and Biophysics. According to data from OpenAlex, Vivek Bhardwaj has authored 19 papers receiving a total of 6.0k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 2 papers in Surgery and 2 papers in Biophysics. Recurrent topics in Vivek Bhardwaj's work include Genomics and Phylogenetic Studies (5 papers), Single-cell and spatial transcriptomics (4 papers) and Genomics and Chromatin Dynamics (4 papers). Vivek Bhardwaj is often cited by papers focused on Genomics and Phylogenetic Studies (5 papers), Single-cell and spatial transcriptomics (4 papers) and Genomics and Chromatin Dynamics (4 papers). Vivek Bhardwaj collaborates with scholars based in Germany, India and Netherlands. Vivek Bhardwaj's co-authors include Thomas Manke, Fidel Ramírez, Björn Grüning, Devon Ryan, Andreas S. Richter, Fabian Kilpert, Steffen Heyne, Friederike Dündar, Asifa Akhtar and Rolf Backofen and has published in prestigious journals such as Nature, Nucleic Acids Research and Nature Communications.

In The Last Decade

Vivek Bhardwaj

17 papers receiving 6.0k citations

Hit Papers

deepTools2: a next genera... 2016 2026 2019 2022 2016 2018 2017 1000 2.0k 3.0k 4.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vivek Bhardwaj Germany 11 5.0k 1.3k 821 704 553 19 6.0k
Friederike Dündar United States 10 5.6k 1.1× 1.4k 1.1× 717 0.9× 854 1.2× 773 1.4× 16 7.0k
Andreas S. Richter Germany 16 5.0k 1.0× 1.0k 0.8× 619 0.8× 1.0k 1.4× 496 0.9× 21 6.1k
Fabian Kilpert Germany 14 4.1k 0.8× 942 0.7× 476 0.6× 641 0.9× 492 0.9× 18 5.2k
Steffen Heyne Germany 10 4.1k 0.8× 936 0.7× 513 0.6× 628 0.9× 466 0.8× 14 5.1k
Devon Ryan Germany 12 4.2k 0.8× 933 0.7× 481 0.6× 569 0.8× 452 0.8× 19 5.1k
Alla A. Sigova United States 14 5.6k 1.1× 1.2k 0.9× 1.4k 1.6× 591 0.8× 513 0.9× 20 6.4k
David A. Orlando United States 20 7.1k 1.4× 1.5k 1.2× 1.0k 1.2× 873 1.2× 541 1.0× 37 8.2k
Andrew C. Adey United States 28 5.5k 1.1× 906 0.7× 1.3k 1.6× 1000 1.4× 661 1.2× 53 7.0k
Sarah J. Wheelan United States 34 3.1k 0.6× 865 0.7× 581 0.7× 705 1.0× 317 0.6× 84 4.2k
Emily Hodges United States 31 3.8k 0.8× 1.5k 1.2× 1.1k 1.3× 1.1k 1.6× 515 0.9× 77 5.9k

Countries citing papers authored by Vivek Bhardwaj

Since Specialization
Citations

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

Fields of papers citing papers by Vivek Bhardwaj

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vivek Bhardwaj

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

All Works

19 of 19 papers shown
1.
Pal, Amit, et al.. (2025). Alfalfa (Medicago sativa) and neurodegeneration: mechanistic insights into oxidative stress, inflammation, and neuronal survival pathways. Molecular Biology Reports. 52(1). 758–758. 1 indexed citations
2.
Blotenburg, Marloes, Daniel V. Bax, Jan Visser, et al.. (2025). Stem cell culture conditions affect in vitro differentiation potential and mouse gastruloid formation. PLoS ONE. 20(3). e0317309–e0317309. 3 indexed citations
3.
4.
Bhardwaj, Vivek, et al.. (2024). Smart cities and the IoT: an in-depth analysis of global research trends and future directions. SHILAP Revista de lepidopterología. 4(1). 3 indexed citations
5.
Bhardwaj, Vivek, et al.. (2024). Single-Cell Histone Modification Profiling with Cell Enrichment Using sortChIC. Methods in molecular biology. 2846. 215–241.
6.
Zeller, Peter, Jake Yeung, Buys de Barbanson, et al.. (2022). Single-cell sortChIC identifies hierarchical chromatin dynamics during hematopoiesis. Nature Genetics. 55(2). 333–345. 30 indexed citations
7.
Jambor, Helena, Alberto Antonietti, Bradly Alicea, et al.. (2021). Creating clear and informative image-based figures for scientific publications. PLoS Biology. 19(3). e3001161–e3001161. 34 indexed citations
8.
Lopez‐Delisle, Lucille, Leily Rabbani, Joachim Wolff, et al.. (2020). pyGenomeTracks: reproducible plots for multivariate genomic datasets . Bioinformatics. 37(3). 422–423. 247 indexed citations
9.
Ferling, Iuliia, Steven Burgess, Vivek Bhardwaj, et al.. (2020). Meta-Research: Creating clear and informative image-based figures for scientific publications. OSF Preprints (OSF Preprints). 2 indexed citations
10.
Bhardwaj, Vivek, Steffen Heyne, Katarzyna Sikora, et al.. (2019). snakePipes: facilitating flexible, scalable and integrative epigenomic analysis. Bioinformatics. 35(22). 4757–4759. 105 indexed citations
11.
Bhardwaj, Vivek, et al.. (2019). MAPCap allows high-resolution detection and differential expression analysis of transcription start sites. Nature Communications. 10(1). 3219–3219. 14 indexed citations
12.
Lam, Kin Chung, Ho‐Ryun Chung, Giuseppe Semplicio, et al.. (2019). The NSL complex-mediated nucleosome landscape is required to maintain transcription fidelity and suppression of transcription noise. Genes & Development. 33(7-8). 452–465. 10 indexed citations
13.
Ramírez, Fidel, Vivek Bhardwaj, Laura Arrigoni, et al.. (2018). High-resolution TADs reveal DNA sequences underlying genome organization in flies. Nature Communications. 9(1). 189–189. 543 indexed citations breakdown →
14.
Wolff, Joachim, Vivek Bhardwaj, Gautier Richard, et al.. (2018). Galaxy HiCExplorer: a web server for reproducible Hi-C data analysis, quality control and visualization. Nucleic Acids Research. 46(W1). W11–W16. 153 indexed citations
15.
Aktaş, Tuğçe, İbrahim Ilik, Daniel Maticzka, et al.. (2017). DHX9 suppresses RNA processing defects originating from the Alu invasion of the human genome. Nature. 544(7648). 115–119. 422 indexed citations breakdown →
16.
Pandey, Rajesh, et al.. (2016). Alu-miRNA interactions modulate transcript isoform diversity in stress response and reveal signatures of positive selection. Scientific Reports. 6(1). 32348–32348. 15 indexed citations
17.
Ramírez, Fidel, Devon Ryan, Björn Grüning, et al.. (2016). deepTools2: a next generation web server for deep-sequencing data analysis. Nucleic Acids Research. 44(W1). W160–W165. 4364 indexed citations breakdown →
18.
Sheikh, Bilal N., Wibke Bechtel‐Walz, Jacopo Lucci, et al.. (2015). MOF maintains transcriptional programs regulating cellular stress response. Oncogene. 35(21). 2698–2710. 52 indexed citations
19.
Tiwari, Pradeep Kumar, Kandarp Joshi, Rakhshinda Rehman, et al.. (2014). Draft Genome Sequence of Urease-Producing Sporosarcina pasteurii with Potential Application in Biocement Production. Genome Announcements. 2(1). 9 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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