Rushad Pavri
Impact in
- Immunology top 10%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Molecular Biology top 10%
- Genomics and Chromatin Dynamics
- DNA Repair Mechanisms
- RNA Research and Splicing
- Epigenetics and DNA Methylation
- RNA modifications and cancer
- Ubiquitin and proteasome pathways
Papers in
-
- T-cell and B-cell Immunology 7
- Immune Cell Function and Interaction 4
-
- Genomics and Chromatin Dynamics 7
- DNA Repair Mechanisms 5
- RNA and protein synthesis mechanisms 3
- RNA Research and Splicing 3
- Retinoids in leukemia and cellular processes 2
- Epigenetics and DNA Methylation 2
- Co-authors
- Danny ReinbergSubhrangsu S. MandalGuohong LiPatrick TrojerAli ShilatifardBing ZhuMichel C. NussenzweigTobias Neumann
- Journals
- Molecular Cell (3 papers)Nature Communications (2 papers)Cell (2 papers)The EMBO Journal (1 paper)Nature Genetics (1 paper)
- Partner nations
- AustriaUnited StatesUnited Kingdom
In The Last Decade
Rushad Pavri
12 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 62
- Immunology 369
- Molecular Biology 1.1k
- Oncology 211
- Cancer Research 87
- Aging 8
Countries citing papers authored by Rushad Pavri
This map shows the geographic impact of Rushad Pavri'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 Rushad Pavri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rushad Pavri more than expected).
Fields of papers citing papers by Rushad Pavri
This network shows the impact of papers produced by Rushad Pavri. 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 Rushad Pavri. The network helps show where Rushad Pavri may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Rushad Pavri, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 8 | |
| 6 | 2023 | 6 | |
| 7 | 2022 | 28 | |
| 8 | 2020 | 50 | |
| 9 | 2018 | 54 | |
| 10 | 2017 | 29 | |
| 11 | 2016 | 41 | |
| 12 | 2014 | 41 | |
| 13 | 2011 | 111 | |
| 14 | 2010 | 286 | |
| 15 | Histone H2B Monoubiquitination Functions Cooperatively with FACT to Regulate Elongation by RNA Polymerase II Hit paper breakdown → | 2006 | 576 |
| 16 | 2005 | 194 |
About Rushad Pavri
Rushad Pavri is a scholar working on Immunology, Molecular Biology, Biophysics, Genetics and Radiology, Nuclear Medicine and Imaging, having authored 16 papers that have together received 1.4k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (7 papers), Genomics and Chromatin Dynamics (7 papers), DNA Repair Mechanisms (5 papers), Immune Cell Function and Interaction (4 papers), RNA and protein synthesis mechanisms (3 papers), RNA Research and Splicing (3 papers), Retinoids in leukemia and cellular processes (2 papers) and Epigenetics and DNA Methylation (2 papers). The work is most often cited by research in Immunology (369 citations), Molecular Biology (1.1k citations), Oncology (211 citations), Cancer Research (87 citations) and Aging (8 citations). Rushad Pavri has collaborated with scholars based in Austria, United States and United Kingdom. Frequent co-authors include Danny Reinberg, Subhrangsu S. Mandal, Guohong Li, Patrick Trojer, Ali Shilatifard, Bing Zhu, Michel C. Nussenzweig, Tobias Neumann, Johanna Fitz and Rafael Casellas. Their work appears in journals such as Molecular Cell, Nature Communications, Cell, The EMBO Journal and Nature Genetics.
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.