Ella Hartenian
- Aging top 0.5%
- Molecular Biology top 1%
- RNA and protein synthesis mechanisms 7
- CRISPR and Genetic Engineering 5
- RNA Research and Splicing 4
- Inflammasome and immune disorders 4
- Immunology top 5%
- Cancer Research top 5%
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- Viral Infections and Immunology Research 3
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- Viral gastroenteritis research and epidemiology 2
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- Autophagy in Disease and Therapy 2
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- Viral-associated cancers and disorders 2
- Co-authors
- John G. DoenchDavid E. RootBenjamin L. EbertFeng ZhangTarjei S. MikkelsenDirk HecklXi ShiOphir Shalem
- Partner nations
- United StatesSwitzerlandAustria
In The Last Decade
Ella Hartenian
17 papers receiving 5.9k citations
Hit Papers
Peers
Comparison fields: 5 of 134
- Aging 279
- Business and International Management 230
- Molecular Biology 5.0k
- Immunology 664
- Cancer Research 424
Countries citing papers authored by Ella Hartenian
This map shows the geographic impact of Ella Hartenian'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 Ella Hartenian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ella Hartenian more than expected).
Fields of papers citing papers by Ella Hartenian
This network shows the impact of papers produced by Ella Hartenian. 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 Ella Hartenian. The network helps show where Ella Hartenian may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ella Hartenian, 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 | 2024 | 18 | |
| 4 | NINJ1 induces plasma membrane rupture and release of damage-associated molecular pattern molecules during ferroptosisbreakdown → | 2024 | 66 |
| 5 | Structural basis of NINJ1-mediated plasma membrane rupture in cell deathbreakdown → | 2023 | 144 |
| 6 | 2022 | 4 | |
| 7 | 2021 | 72 | |
| 8 | 2021 | 12 | |
| 9 | 2020 | 14 | |
| 10 | 2020 | 310 | |
| 11 | 2019 | 37 | |
| 12 | 2018 | 74 | |
| 13 | 2017 | 143 | |
| 14 | 2017 | 182 | |
| 15 | 2016 | 47 | |
| 16 | 2015 | 5 | |
| 17 | 2015 | 69 | |
| 18 | Rational design of highly active sgRNAs for CRISPR-Cas9–mediated gene inactivationbreakdown → | 2014 | 1157 |
| 19 | Genome-Scale CRISPR-Cas9 Knockout Screening in Human Cellsbreakdown → | 2013 | 3656 |
About Ella Hartenian
Ella Hartenian is a scholar working on Endocrinology, Molecular Biology and Cardiology and Cardiovascular Medicine, having authored 19 papers that have together received 6.0k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (7 papers), CRISPR and Genetic Engineering (5 papers), RNA Research and Splicing (4 papers), Inflammasome and immune disorders (4 papers), Viral Infections and Immunology Research (3 papers), Viral gastroenteritis research and epidemiology (2 papers), Autophagy in Disease and Therapy (2 papers) and Viral-associated cancers and disorders (2 papers). The work is most often cited by research in Aging (279 citations), Business and International Management (230 citations) and Molecular Biology (5.0k citations). Ella Hartenian has collaborated with scholars based in United States, Switzerland and Austria. Frequent co-authors include John G. Doench, David E. Root, Benjamin L. Ebert, Feng Zhang, Tarjei S. Mikkelsen, Dirk Heckl, Xi Shi, Ophir Shalem, David Scott and Neville E. Sanjana. Their work appears in journals such as Nature Biotechnology, The EMBO Journal, Science, eLife and Current Biology.
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.