Marc Hild
- Aging top 2%
- Molecular Biology top 2%
- Developmental Biology and Gene Regulation 5
- Genomics and Chromatin Dynamics 5
- CRISPR and Genetic Engineering 4
- Protein Degradation and Inhibitors 3
- Histone Deacetylase Inhibitors Research 3
- Ubiquitin and proteasome pathways 3
- Pluripotent Stem Cells Research 2
- Biochemistry top 1%
- Cell Biology top 1%
- Cancer Research top 5%
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- CAR-T cell therapy research 2
- Co-authors
- Vic E. MyerPeter M. FinanHaidi YangMatthias HammerschmidtBailin ZhangBeat NyfelerLewis C. CantleyChristopher J. Wilson
- Cited by
- AgingMolecular BiologyBiochemistry
- Partner nations
- United StatesGermanySwitzerland
In The Last Decade
Marc Hild
27 papers receiving 4.7k citations
Hit Papers
Peers
Comparison fields: 5 of 129
- Aging 92
- Molecular Biology 3.5k
- Biochemistry 365
- Cell Biology 795
- Cancer Research 541
Countries citing papers authored by Marc Hild
This map shows the geographic impact of Marc Hild'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 Marc Hild with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marc Hild more than expected).
Fields of papers citing papers by Marc Hild
This network shows the impact of papers produced by Marc Hild. 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 Marc Hild. The network helps show where Marc Hild may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Marc Hild, 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 | 2021 | 3 | |
| 2 | 2021 | 4 | |
| 3 | 2020 | 31 | |
| 4 | 2020 | 6 | |
| 5 | 2018 | 56 | |
| 6 | 2018 | 28 | |
| 7 | 2018 | 28 | |
| 8 | 2018 | 135 | |
| 9 | 2013 | 83 | |
| 10 | 2011 | 339 | |
| 11 | Bidirectional Transport of Amino Acids Regulates mTOR and Autophagybreakdown → | 2009 | 1369 |
| 12 | HDAC6 rescues neurodegeneration and provides an essential link between autophagy and the UPSbreakdown → | 2007 | 979 |
| 13 | 2007 | 48 | |
| 14 | 2007 | 136 | |
| 15 | Genome-Wide RNAi Analysis of Growth and Viability in Drosophila Cellsbreakdown → | 2004 | 571 |
| 16 | 2003 | 101 | |
| 17 | 2002 | 189 | |
| 18 | 2000 | 9 | |
| 19 | 1999 | 173 | |
| 20 | 1998 | 90 |
About Marc Hild
Marc Hild is a scholar working on Molecular Biology, Developmental Neuroscience, Immunology, Cell Biology and Cellular and Molecular Neuroscience, having authored 27 papers that have together received 4.7k indexed citations. Recurring topics across this work include Developmental Biology and Gene Regulation (5 papers), Genomics and Chromatin Dynamics (5 papers), CRISPR and Genetic Engineering (4 papers), Protein Degradation and Inhibitors (3 papers), Histone Deacetylase Inhibitors Research (3 papers), Ubiquitin and proteasome pathways (3 papers), Pluripotent Stem Cells Research (2 papers) and CAR-T cell therapy research (2 papers). The work is most often cited by research in Aging (92 citations), Molecular Biology (3.5k citations), Biochemistry (365 citations), Cell Biology (795 citations) and Cancer Research (541 citations). Marc Hild has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Vic E. Myer, Peter M. Finan, Haidi Yang, Matthias Hammerschmidt, Bailin Zhang, Beat Nyfeler, Lewis C. Cantley, Christopher J. Wilson, Jeffrey A. Porter and Jeffrey P. MacKeigan. Their work appears in journals such as Nature Communications, Nature Cell Biology, Development, Cell chemical biology and SLAS DISCOVERY.
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.