Jesse Lipp
- Cell Biology top 1%
- Microtubule and mitosis dynamics 7
- Molecular Biology top 2%
- Genomics and Chromatin Dynamics 8
- DNA Repair Mechanisms 7
- RNA Research and Splicing 4
- Ubiquitin and proteasome pathways 3
- RNA and protein synthesis mechanisms 3
- Protein Degradation and Inhibitors 3
- Aging top 10%
- Oncology top 10%
- Plant Science top 5%
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- Genetic factors in colorectal cancer 3
- Co-authors
- Jan‐Michael PetersToru HirotaBan‐Hock TohKarl MechtlerBjörn HegemannStephanie KuengAlexander SchleifferMark Petronczki
- Cited by
- Cell BiologyMolecular BiologyAging
- Partner nations
- AustriaUnited StatesGermany
In The Last Decade
Jesse Lipp
18 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 91
- Cell Biology 1.2k
- Molecular Biology 2.5k
- Aging 28
- Oncology 419
- Plant Science 429
Countries citing papers authored by Jesse Lipp
This map shows the geographic impact of Jesse 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 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 Lipp more than expected).
Fields of papers citing papers by Jesse Lipp
This network shows the impact of papers produced by Jesse 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 Lipp. The network helps show where Jesse Lipp may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jesse 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 | 2024 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 3 | |
| 4 | 2020 | 61 | |
| 5 | 2020 | 2 | |
| 6 | 2019 | 91 | |
| 7 | 2019 | 236 | |
| 8 | 2019 | 1 | |
| 9 | 2019 | 0 | |
| 10 | 2018 | 237 | |
| 11 | 2016 | 112 | |
| 12 | 2015 | 34 | |
| 13 | 2015 | 23 | |
| 14 | 2012 | 74 | |
| 15 | 2010 | 143 | |
| 16 | 2008 | 135 | |
| 17 | The Small-Molecule Inhibitor BI 2536 Reveals Novel Insights into Mitotic Roles of Polo-like Kinase 1breakdown → | 2007 | 563 |
| 18 | 2007 | 118 | |
| 19 | 2006 | 473 | |
| 20 | Histone H3 serine 10 phosphorylation by Aurora B causes HP1 dissociation from heterochromatinbreakdown → | 2005 | 521 |
About Jesse Lipp
Jesse Lipp is a scholar working on Cell Biology, Molecular Biology, Pathology and Forensic Medicine, Genetics and Hematology, having authored 20 papers that have together received 2.8k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (8 papers), DNA Repair Mechanisms (7 papers), Microtubule and mitosis dynamics (7 papers), RNA Research and Splicing (4 papers), Ubiquitin and proteasome pathways (3 papers), Genetic factors in colorectal cancer (3 papers), RNA and protein synthesis mechanisms (3 papers) and Protein Degradation and Inhibitors (3 papers). The work is most often cited by research in Cell Biology (1.2k citations), Molecular Biology (2.5k citations), Aging (28 citations), Oncology (419 citations) and Plant Science (429 citations). Jesse 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, Björn Hegemann, Stephanie Kueng, Alexander Schleiffer, Mark Petronczki, Norbert Kraut and Matthias Hoffmann. Their work appears in journals such as Cell, Cancer Research, Molecular Cancer Therapeutics, Current Biology and Nature Structural & Molecular 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.