Daniel H. Lackner
Impact in
- Aging top 5%
- Molecular Biology top 5%
- RNA Research and Splicing
- Bioinformatics and Genomic Networks
- RNA and protein synthesis mechanisms
- RNA modifications and cancer
- Genomics and Chromatin Dynamics
- Fungal and yeast genetics research
- CRISPR and Genetic Engineering
Papers in
-
- RNA Research and Splicing 7
- Fungal and yeast genetics research 6
- RNA and protein synthesis mechanisms 5
- CRISPR and Genetic Engineering 4
- Advanced biosensing and bioanalysis techniques 3
- Protein Tyrosine Phosphatases 2
-
- Telomeres, Telomerase, and Senescence 5
- Co-authors
- Jürg Bähler (10 shared papers)Jan Karlseder (5 shared papers)Valerie Wood (1 shared paper)Mike Tyers (1 shared paper)C. Stark (1 shared paper)Rose Oughtred (1 shared paper)Lorrie Boucher (1 shared paper)Teresa Reguly (1 shared paper)
- Journals
- Molecular Cell (3 papers)Genome biology (2 papers)PLoS ONE (2 papers)The EMBO Journal (1 paper)Genes & Development (1 paper)
- Partner nations
- United KingdomUnited StatesCanada
In The Last Decade
Daniel H. Lackner
20 papers receiving 2.0k citations
Daniel H. Lackner's Hit Papers
Peers
Comparison fields: 5 of 105
- Aging 70
- Molecular Biology 1.7k
- Physiology 222
- Cell Biology 131
- Genetics 133
Countries citing papers authored by Daniel H. Lackner
This map shows the geographic impact of Daniel H. Lackner'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 H. Lackner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel H. Lackner more than expected).
Fields of papers citing papers by Daniel H. Lackner
This network shows the impact of papers produced by Daniel H. Lackner. 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 H. Lackner. The network helps show where Daniel H. Lackner may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel H. Lackner, 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 | The BioGRID Interaction Database: 2008 update Hit paper breakdown → | 2007 | 569 |
| 2 | 2014 | 205 | |
| 3 | 2012 | 190 | |
| 4 | 2007 | 168 | |
| 5 | 2015 | 151 | |
| 6 | 2012 | 133 | |
| 7 | 2010 | 94 | |
| 8 | 2003 | 88 | |
| 9 | 2007 | 74 | |
| 10 | 2010 | 68 | |
| 11 | 2007 | 51 | |
| 12 | 2008 | 45 | |
| 13 | 2006 | 40 | |
| 14 | 2014 | 39 | |
| 15 | 2009 | 38 | |
| 16 | 2012 | 24 | |
| 17 | 2011 | 12 | |
| 18 | 2019 | 9 | |
| 19 | 2012 | 7 | |
| 20 | 2010 | 3 |
About Daniel H. Lackner
Daniel H. Lackner is a scholar working on Molecular Biology, Physiology, Aging, Nephrology and Epidemiology, having authored 20 papers that have together received 2.0k indexed citations. Recurring topics across this work include RNA Research and Splicing (7 papers), Fungal and yeast genetics research (6 papers), RNA and protein synthesis mechanisms (5 papers), Telomeres, Telomerase, and Senescence (5 papers), CRISPR and Genetic Engineering (4 papers), Genetics, Aging, and Longevity in Model Organisms (3 papers), Advanced biosensing and bioanalysis techniques (3 papers) and Protein Tyrosine Phosphatases (2 papers). The work is most often cited by research in Aging (70 citations), Molecular Biology (1.7k citations), Physiology (222 citations), Cell Biology (131 citations) and Genetics (133 citations). Daniel H. Lackner has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Jürg Bähler, Jan Karlseder, Valerie Wood, Mike Tyers, C. Stark, Rose Oughtred, Lorrie Boucher, Teresa Reguly, Kara Dolinski and Michael Livstone. Their work appears in journals such as Molecular Cell, Genome biology, PLoS ONE, The EMBO Journal and Genes & Development.
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.