Daniel A. Lorenz
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- RNA modifications and cancer
- RNA Research and Splicing
- RNA and protein synthesis mechanisms
- RNA Interference and Gene Delivery
- Advanced biosensing and bioanalysis techniques
- RNA regulation and disease
Papers in
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- RNA modifications and cancer 7
- RNA Interference and Gene Delivery 7
- RNA and protein synthesis mechanisms 7
- RNA Research and Splicing 6
- Advanced biosensing and bioanalysis techniques 4
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- MicroRNA in disease regulation 5
- Co-authors
- Amanda L. Garner (9 shared papers)G Yeo (4 shared papers)Shashank Sathe (1 shared paper)Jaclyn M. Einstein (1 shared paper)Brian A. Yee (3 shared papers)Samuel A. Kerk (2 shared papers)Isaac A. Chaim (1 shared paper)Eric Kofman (1 shared paper)
- Journals
- Nature Methods (2 papers)ACS Medicinal Chemistry Letters (2 papers)PLoS ONE (1 paper)RSC Chemical Biology (1 paper)RNA (1 paper)
- Partner nations
- United StatesNorway
In The Last Decade
Daniel A. Lorenz
14 papers receiving 489 citations
Peers
Comparison fields: 5 of 49
- Cancer Research 145
- Molecular Biology 463
- Horticulture 1
- Cell Biology 16
- Organic Chemistry 28
Countries citing papers authored by Daniel A. Lorenz
This map shows the geographic impact of Daniel A. Lorenz'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 Daniel A. Lorenz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel A. Lorenz more than expected).
Fields of papers citing papers by Daniel A. Lorenz
This network shows the impact of papers produced by Daniel A. Lorenz. 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 Daniel A. Lorenz. The network helps show where Daniel A. Lorenz may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel A. Lorenz, 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 | 2019 | 167 | |
| 2 | 2021 | 94 | |
| 3 | 2018 | 40 | |
| 4 | 2012 | 31 | |
| 5 | 2014 | 31 | |
| 6 | 2017 | 27 | |
| 7 | 2016 | 24 | |
| 8 | 2019 | 18 | |
| 9 | 2017 | 16 | |
| 10 | 2022 | 13 | |
| 11 | 2020 | 11 | |
| 12 | 2019 | 9 | |
| 13 | 2024 | 6 | |
| 14 | 2019 | 2 |
About Daniel A. Lorenz
Daniel A. Lorenz is a scholar working on Molecular Biology, Cancer Research, Organic Chemistry, Cell Biology and Electrical and Electronic Engineering, having authored 14 papers that have together received 489 indexed citations. Recurring topics across this work include RNA modifications and cancer (7 papers), RNA Interference and Gene Delivery (7 papers), RNA and protein synthesis mechanisms (7 papers), RNA Research and Splicing (6 papers), MicroRNA in disease regulation (5 papers), Advanced biosensing and bioanalysis techniques (4 papers), Click Chemistry and Applications (1 paper) and Endoplasmic Reticulum Stress and Disease (1 paper). The work is most often cited by research in Cancer Research (145 citations), Molecular Biology (463 citations), Horticulture (1 citation), Cell Biology (16 citations) and Organic Chemistry (28 citations). Daniel A. Lorenz has collaborated with scholars based in United States and Norway. Frequent co-authors include Amanda L. Garner, G Yeo, Shashank Sathe, Jaclyn M. Einstein, Brian A. Yee, Samuel A. Kerk, Isaac A. Chaim, Eric Kofman, Kevin Dong and Tanpreet Kaur. Their work appears in journals such as Nature Methods, ACS Medicinal Chemistry Letters, PLoS ONE, RSC Chemical Biology and RNA.
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.