Max L. Valenstein
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- Cell Biology top 5%
- Microtubule and mitosis dynamics
- Cellular transport and secretion
Papers in
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- RNA and protein synthesis mechanisms 5
- PI3K/AKT/mTOR signaling in cancer 4
- RNA modifications and cancer 3
- CRISPR and Genetic Engineering 3
- Ubiquitin and proteasome pathways 2
- RNA Research and Splicing 2
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- Microtubule and mitosis dynamics 2
- Cellular transport and secretion 2
- Co-authors
- Antonina Roll‐Mecak (2 shared papers)Jessica A. Brown (2 shared papers)Therese A. Yario (2 shared papers)Joan A. Steitz (2 shared papers)Kazimierz T. Tycowski (1 shared paper)David M. Sabatini (7 shared papers)David Bulkley (1 shared paper)Jimin Wang (1 shared paper)
- Journals
- Nature (4 papers)Proceedings of the National Academy of Sciences (2 papers)Cell (2 papers)Nature Structural & Molecular Biology (1 paper)Science (1 paper)
- Partner nations
- United StatesCzechiaAustralia
In The Last Decade
Max L. Valenstein
12 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 74
- Cancer Research 314
- Cell Biology 307
- Molecular Biology 929
- Aging 10
- Physiology 18
Countries citing papers authored by Max L. Valenstein
This map shows the geographic impact of Max L. Valenstein'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 Max L. Valenstein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Max L. Valenstein more than expected).
Fields of papers citing papers by Max L. Valenstein
This network shows the impact of papers produced by Max L. Valenstein. 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 Max L. Valenstein. The network helps show where Max L. Valenstein may publish in the future.
Co-authors
The 25 scholars most cited alongside Max L. Valenstein, 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 | 2012 | 248 | |
| 2 | 2014 | 217 | |
| 3 | 2016 | 188 | |
| 4 | 2014 | 164 | |
| 5 | 2018 | 142 | |
| 6 | 2022 | 53 | |
| 7 | 2019 | 51 | |
| 8 | 2022 | 37 | |
| 9 | 2018 | 34 | |
| 10 | 2024 | 13 | |
| 11 | 2025 | 7 | |
| 12 | 2025 | 2 |
About Max L. Valenstein
Max L. Valenstein is a scholar working on Molecular Biology, Cell Biology, Cancer Research, Cellular and Molecular Neuroscience and Oncology, having authored 12 papers that have together received 1.2k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (5 papers), PI3K/AKT/mTOR signaling in cancer (4 papers), RNA modifications and cancer (3 papers), CRISPR and Genetic Engineering (3 papers), Ubiquitin and proteasome pathways (2 papers), Microtubule and mitosis dynamics (2 papers), Cellular transport and secretion (2 papers) and RNA Research and Splicing (2 papers). The work is most often cited by research in Cancer Research (314 citations), Cell Biology (307 citations), Molecular Biology (929 citations), Aging (10 citations) and Physiology (18 citations). Max L. Valenstein has collaborated with scholars based in United States, Czechia and Australia. Frequent co-authors include Antonina Roll‐Mecak, Jessica A. Brown, Therese A. Yario, Joan A. Steitz, Kazimierz T. Tycowski, David M. Sabatini, David Bulkley, Jimin Wang, Thomas A. Steitz and Kuang Shen. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences, Cell, Nature Structural & Molecular Biology and Science.
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.