Eric S. Witze
- Aging top 5%
- Genetics, Aging, and Longevity in Model Organisms 3
- Cell Biology top 5%
- Cellular transport and secretion 3
- Cellular Mechanics and Interactions 2
- Molecular Biology top 5%
- Wnt/β-catenin signaling in development and cancer 5
- Cancer-related gene regulation 3
- Glycosylation and Glycoproteins Research 2
- Epigenetics and DNA Methylation 2
- Spectroscopy top 5%
- Cancer Research top 10%
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- Lung Cancer Treatments and Mutations 3
- Co-authors
- Natalie G. AhnKatheryn A. ResingWilliam M. OldElizabeth S. LitmanJoel H. RothmanAkriti KharbandaGretchen ArgastRandall T. Moon
- Cited by
- AgingCell BiologyMolecular Biology
- Journals
- Molecular and Cellular Biology (2 papers)Current Biology (2 papers)Molecular Cell (2 papers)
- Partner nations
- United StatesFranceMalaysia
In The Last Decade
Eric S. Witze
24 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 102
- Aging 60
- Cell Biology 325
- Molecular Biology 1.4k
- Spectroscopy 311
- Cancer Research 168
Countries citing papers authored by Eric S. Witze
This map shows the geographic impact of Eric S. Witze'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 Eric S. Witze with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric S. Witze more than expected).
Fields of papers citing papers by Eric S. Witze
This network shows the impact of papers produced by Eric S. Witze. 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 Eric S. Witze. The network helps show where Eric S. Witze may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Eric S. Witze, 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 | 2023 | 0 | |
| 2 | 2021 | 30 | |
| 3 | 2020 | 66 | |
| 4 | 2020 | 24 | |
| 5 | 2018 | 15 | |
| 6 | 2017 | 18 | |
| 7 | 2016 | 168 | |
| 8 | 2015 | 18 | |
| 9 | 2015 | 11 | |
| 10 | 2015 | 34 | |
| 11 | 2014 | 1 | |
| 12 | 2013 | 52 | |
| 13 | 2013 | 31 | |
| 14 | 2012 | 11 | |
| 15 | 2009 | 112 | |
| 16 | 2009 | 14 | |
| 17 | 2008 | 16 | |
| 18 | Mapping protein post-translational modifications with mass spectrometrybreakdown → | 2007 | 616 |
| 19 | 2003 | 99 | |
| 20 | 2002 | 18 |
About Eric S. Witze
Eric S. Witze is a scholar working on Aging, Cell Biology, Immunology and Allergy, Molecular Biology and Cancer Research, having authored 25 papers that have together received 1.8k indexed citations. Recurring topics across this work include Wnt/β-catenin signaling in development and cancer (5 papers), Genetics, Aging, and Longevity in Model Organisms (3 papers), Cellular transport and secretion (3 papers), Cancer-related gene regulation (3 papers), Lung Cancer Treatments and Mutations (3 papers), Glycosylation and Glycoproteins Research (2 papers), Epigenetics and DNA Methylation (2 papers) and Cellular Mechanics and Interactions (2 papers). The work is most often cited by research in Aging (60 citations), Cell Biology (325 citations), Molecular Biology (1.4k citations), Spectroscopy (311 citations) and Cancer Research (168 citations). Eric S. Witze has collaborated with scholars based in United States, France and Malaysia. Frequent co-authors include Natalie G. Ahn, Katheryn A. Resing, William M. Old, Elizabeth S. Litman, Joel H. Rothman, Akriti Kharbanda, Gretchen Argast, Randall T. Moon, Kristin B. Runkle and Ewa Stypulkowski. Their work appears in journals such as Molecular and Cellular Biology, Current Biology, Molecular Cell, Science Signaling and PLoS ONE.
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.