Jesse Jonathan Lipp
Impact in
- Cell Biology top 1%
- Microtubule and mitosis dynamics
- Molecular Biology top 5%
- Genomics and Chromatin Dynamics
- DNA Repair Mechanisms
- Ubiquitin and proteasome pathways
- RNA Research and Splicing
- Epigenetics and DNA Methylation
Papers in
-
- Microtubule and mitosis dynamics 7
-
- Genomics and Chromatin Dynamics 6
- DNA Repair Mechanisms 5
- RNA Research and Splicing 4
- Protein Degradation and Inhibitors 3
- RNA and protein synthesis mechanisms 3
- Ubiquitin and proteasome pathways 3
- CRISPR and Genetic Engineering 2
- Co-authors
- Jan‐Michael Peters (5 shared papers)Toru Hirota (2 shared papers)Ban‐Hock Toh (1 shared paper)Karl Mechtler (2 shared papers)Norbert Kraut (3 shared papers)Mark P. Petronczki (2 shared papers)Stephanie Kueng (1 shared paper)Björn Hegemann (1 shared paper)
- Journals
- Cell (3 papers)eLife (1 paper)Nature Protocols (1 paper)Cell Reports (1 paper)PLoS Genetics (1 paper)
- Partner nations
- AustriaUnited StatesGermany
In The Last Decade
Jesse Jonathan Lipp
19 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 92
- Cell Biology 1.2k
- Molecular Biology 2.5k
- Oncology 413
- Aging 27
- Plant Science 419
Countries citing papers authored by Jesse Jonathan Lipp
This map shows the geographic impact of Jesse Jonathan Lipp'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 Jesse Jonathan Lipp with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jesse Jonathan Lipp more than expected).
Fields of papers citing papers by Jesse Jonathan Lipp
This network shows the impact of papers produced by Jesse Jonathan Lipp. 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 Jesse Jonathan Lipp. The network helps show where Jesse Jonathan Lipp may publish in the future.
Co-authors
The 25 scholars most cited alongside Jesse Jonathan Lipp, 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 | 2007 | 578 | |
| 2 | 2005 | 540 | |
| 3 | 2006 | 482 | |
| 4 | 2019 | 312 | |
| 5 | 2018 | 274 | |
| 6 | 2010 | 144 | |
| 7 | 2008 | 139 | |
| 8 | 2007 | 119 | |
| 9 | 2019 | 115 | |
| 10 | 2020 | 75 | |
| 11 | 2012 | 73 | |
| 12 | 2015 | 34 | |
| 13 | 2015 | 19 | |
| 14 | 2024 | 12 | |
| 15 | 2022 | 11 | |
| 16 | 2023 | 6 | |
| 17 | 2025 | 3 | |
| 18 | 2024 | 2 | |
| 19 | 2025 | 2 |
About Jesse Jonathan Lipp
Jesse Jonathan Lipp is a scholar working on Cell Biology, Molecular Biology, Immunology, Oncology and Genetics, having authored 19 papers that have together received 2.9k indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (7 papers), Genomics and Chromatin Dynamics (6 papers), DNA Repair Mechanisms (5 papers), RNA Research and Splicing (4 papers), Protein Degradation and Inhibitors (3 papers), RNA and protein synthesis mechanisms (3 papers), Ubiquitin and proteasome pathways (3 papers) and CRISPR and Genetic Engineering (2 papers). The work is most often cited by research in Cell Biology (1.2k citations), Molecular Biology (2.5k citations), Oncology (413 citations), Aging (27 citations) and Plant Science (419 citations). Jesse Jonathan Lipp has collaborated with scholars based in Austria, United States and Germany. Frequent co-authors include Jan‐Michael Peters, Toru Hirota, Ban‐Hock Toh, Karl Mechtler, Norbert Kraut, Mark P. Petronczki, Stephanie Kueng, Björn Hegemann, Alexander Schleiffer and Wolfgang J. Rettig. Their work appears in journals such as Cell, eLife, Nature Protocols, Cell Reports and PLoS 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.