Krishna Mohan Parsi

1.7k total citations · 1 hit paper
14 papers, 912 citations indexed

About

Krishna Mohan Parsi is a scholar working on Molecular Biology, Infectious Diseases and Immunology. According to data from OpenAlex, Krishna Mohan Parsi has authored 14 papers receiving a total of 912 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 3 papers in Infectious Diseases and 2 papers in Immunology. Recurrent topics in Krishna Mohan Parsi's work include RNA Research and Splicing (5 papers), Genomics and Chromatin Dynamics (5 papers) and RNA and protein synthesis mechanisms (4 papers). Krishna Mohan Parsi is often cited by papers focused on RNA Research and Splicing (5 papers), Genomics and Chromatin Dynamics (5 papers) and RNA and protein synthesis mechanisms (4 papers). Krishna Mohan Parsi collaborates with scholars based in United States, Germany and Italy. Krishna Mohan Parsi's co-authors include René Maehr, Job Dekker, Leonid A. Mirny, Sameer Abraham, Nils Krietenstein, Liyan Yang, Oliver J. Rando, Johan H. Gibcus, Sergey V. Venev and Nezar Abdennur and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Molecular Cell.

In The Last Decade

Krishna Mohan Parsi

14 papers receiving 905 citations

Hit Papers

Ultrastructural Details of Mammalian Chromosome Architecture 2020 2026 2022 2024 2020 100 200 300
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. Ultrastructural Details of Mammalian Chromosome Architecture
    2020 336 citations Nils Krietenstein, Sameer Abraham et al. Molecular Cell profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Krishna Mohan Parsi United States 9 753 194 128 103 100 14 912
Francisco J. Sánchez‐Luque Spain 12 659 0.9× 376 1.9× 37 0.3× 36 0.3× 69 0.7× 29 787
Yad Ghavi-Helm France 15 1.6k 2.1× 416 2.1× 152 1.2× 31 0.3× 105 1.1× 24 1.8k
Yoav Lubelsky Israel 12 775 1.0× 62 0.3× 58 0.5× 106 1.0× 370 3.7× 14 904
Marina Falaleeva United States 10 947 1.3× 78 0.4× 55 0.4× 28 0.3× 333 3.3× 15 1.1k
Michael J. Dye United Kingdom 10 1.7k 2.2× 130 0.7× 57 0.4× 23 0.2× 166 1.7× 11 1.8k
Jessica Sheu‐Gruttadauria United States 10 1.2k 1.6× 102 0.5× 69 0.5× 43 0.4× 630 6.3× 12 1.3k
Shuiming Qian United States 15 746 1.0× 513 2.6× 51 0.4× 36 0.3× 76 0.8× 18 1.0k
Iva A. Tchasovnikarova United Kingdom 12 749 1.0× 221 1.1× 122 1.0× 41 0.4× 35 0.3× 16 889
Justin M. Pare Canada 10 416 0.6× 56 0.3× 143 1.1× 47 0.5× 112 1.1× 11 562
Omer Ziv Israel 10 677 0.9× 66 0.3× 38 0.3× 94 0.9× 253 2.5× 15 779

Countries citing papers authored by Krishna Mohan Parsi

Since Specialization
Citations

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

Fields of papers citing papers by Krishna Mohan Parsi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Krishna Mohan Parsi. 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 Krishna Mohan Parsi. The network helps show where Krishna Mohan Parsi may publish in the future.

Co-authorship network of co-authors of Krishna Mohan Parsi

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

All Works

14 of 14 papers shown
1.
Campbell, Matthew A., et al.. (2025). Development of evolutionarily conserved viral integration sites as safe harbors for human gene therapy. iScience. 28(12). 113910–113910. 1 indexed citations
2.
Conte, Mattia, Andrea Esposito, Liyan Yang, et al.. (2024). Polymer Physics Models Reveal Structural Folding Features of Single-Molecule Gene Chromatin Conformations. International Journal of Molecular Sciences. 25(18). 10215–10215. 1 indexed citations
3.
Landshammer, Alexandro, Adriano Bolondi, Helene Kretzmer, et al.. (2023). T-REX17 is a transiently expressed non-coding RNA essential for human endoderm formation. eLife. 12. 2 indexed citations
4.
Kearns, Nicola A., Ryan M. Genga, Krishna Mohan Parsi, et al.. (2023). Generation and molecular characterization of human pluripotent stem cell-derived pharyngeal foregut endoderm. Developmental Cell. 58(18). 1801–1818.e15. 3 indexed citations
5.
Chen, Yongzhi, Xuqiu Lei, Zhaozhao Jiang, et al.. (2023). Cellular nucleic acid-binding protein restricts SARS-CoV-2 by regulating interferon and disrupting RNA–protein condensates. Proceedings of the National Academy of Sciences. 120(47). e2308355120–e2308355120. 7 indexed citations
6.
Chang, Ching‐Wen, Krishna Mohan Parsi, Mohan Somasundaran, et al.. (2022). A Newly Engineered A549 Cell Line Expressing ACE2 and TMPRSS2 Is Highly Permissive to SARS-CoV-2, Including the Delta and Omicron Variants. Viruses. 14(7). 1369–1369. 27 indexed citations
7.
Humphries, Fiachra, Liraz Shmuel-Galia, Zhaozhao Jiang, et al.. (2021). A diamidobenzimidazole STING agonist protects against SARS-CoV-2 infection. Science Immunology. 6(59). 115 indexed citations
8.
Oksuz, Betül Akgöl, Liyan Yang, Sameer Abraham, et al.. (2021). Systematic evaluation of chromosome conformation capture assays. Nature Methods. 18(9). 1046–1055. 117 indexed citations
9.
Krietenstein, Nils, Sameer Abraham, Sergey V. Venev, et al.. (2020). Ultrastructural Details of Mammalian Chromosome Architecture. Molecular Cell. 78(3). 554–565.e7. 336 indexed citations breakdown →
10.
Shuaib, Muhammad, Krishna Mohan Parsi, Manjula Thimma, et al.. (2019). Nuclear AGO1 Regulates Gene Expression by Affecting Chromatin Architecture in Human Cells. Cell Systems. 9(5). 446–458.e6. 20 indexed citations
11.
Genga, Ryan M., et al.. (2019). Single-Cell RNA-Sequencing-Based CRISPRi Screening Resolves Molecular Drivers of Early Human Endoderm Development. Cell Reports. 27(3). 708–718.e10. 63 indexed citations
12.
Parsi, Krishna Mohan, et al.. (2016). Using an Inducible CRISPR-dCas9-KRAB Effector System to Dissect Transcriptional Regulation in Human Embryonic Stem Cells. Methods in molecular biology. 1507. 221–233. 32 indexed citations
13.
Cernilogar, Filippo M., Maria Cristina Onorati, A. Maxwell Burroughs, et al.. (2011). Chromatin-associated RNA interference components contribute to transcriptional regulation in Drosophila. Nature. 480(7377). 391–395. 178 indexed citations
14.
Yadav, J. S., et al.. (2007). Synthesis and cellular uptake of cell delivering 2,6-pyridinediylbisalkanamide submicron-sized sheets in HeLa cells. Chemical Communications. 3832–3832. 10 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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