Mudra Hegde
Impact in
- Aging top 0.5%
- Genetics, Aging, and Longevity in Model Organisms
Papers in
- Aging 1
-
- CRISPR and Genetic Engineering 16
- RNA and protein synthesis mechanisms 10
- Advanced biosensing and bioanalysis techniques 8
- Gene Regulatory Network Analysis 2
- Signaling Pathways in Disease 1
- Mitochondrial Function and Pathology 1
- Co-authors
- John G. DoenchDavid E. RootMeagan E. SullenderZuzana TóthováIan C. P. SmithKatherine DonovanEmma W VaimbergJennifer Listgarten
- Journals
- Nature Communications (5 papers)Nature Biotechnology (4 papers)Cell (2 papers)PLoS ONE (2 papers)Nature Methods (1 paper)
- Partner nations
- United StatesSwitzerlandIndia
In The Last Decade
Mudra Hegde
18 papers receiving 5.1k citations
Hit Papers
Peers
Comparison fields: 5 of 108
- Aging 292
- Business and International Management 213
- Molecular Biology 4.5k
- Genetics 732
- Oncology 498
Countries citing papers authored by Mudra Hegde
This map shows the geographic impact of Mudra Hegde'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 Mudra Hegde with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mudra Hegde more than expected).
Fields of papers citing papers by Mudra Hegde
This network shows the impact of papers produced by Mudra Hegde. 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 Mudra Hegde. The network helps show where Mudra Hegde may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mudra Hegde, 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 | 2024 | 6 | |
| 2 | 2024 | 17 | |
| 3 | 2023 | 7 | |
| 4 | 2023 | 3 | |
| 5 | 2023 | 13 | |
| 6 | 2022 | 19 | |
| 7 | 2022 | 30 | |
| 8 | Massively parallel assessment of human variants with base editor screens Hit paper breakdown → | 2021 | 202 |
| 9 | 2020 | 110 | |
| 10 | 2020 | 72 | |
| 11 | 2020 | 55 | |
| 12 | Optimized libraries for CRISPR-Cas9 genetic screens with multiple modalities Hit paper breakdown → | 2018 | 505 |
| 13 | 2018 | 34 | |
| 14 | 2017 | 39 | |
| 15 | 2017 | 182 | |
| 16 | Optimized sgRNA design to maximize activity and minimize off-target effects of CRISPR-Cas9 Hit paper breakdown → | 2016 | 2646 |
| 17 | Rational design of highly active sgRNAs for CRISPR-Cas9–mediated gene inactivation Hit paper breakdown → | 2014 | 1157 |
| 18 | 1991 | 6 |
About Mudra Hegde
Mudra Hegde is a scholar working on Aging, Molecular Biology, Genetics, Insect Science and Cancer Research, having authored 18 papers that have together received 5.1k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (16 papers), RNA and protein synthesis mechanisms (10 papers), Advanced biosensing and bioanalysis techniques (8 papers), Gene Regulatory Network Analysis (2 papers), Evolution and Genetic Dynamics (2 papers), interferon and immune responses (1 paper), Signaling Pathways in Disease (1 paper) and Mitochondrial Function and Pathology (1 paper). The work is most often cited by research in Aging (292 citations), Business and International Management (213 citations), Molecular Biology (4.5k citations), Genetics (732 citations) and Oncology (498 citations). Mudra Hegde has collaborated with scholars based in United States, Switzerland and India. Frequent co-authors include John G. Doench, David E. Root, Meagan E. Sullender, Zuzana Tóthová, Ian C. P. Smith, Katherine Donovan, Emma W Vaimberg, Jennifer Listgarten, Nicolò Fusi and Robert C. Orchard. Their work appears in journals such as Nature Communications, Nature Biotechnology, Cell, PLoS ONE and Nature Methods.
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.