L Pennacchio
- Molecular Biology top 0.2%
- Genetics top 0.1%
- Endocrinology, Diabetes and Metabolism top 0.2%
- Epidemiology top 0.5%
- Cardiology and Cardiovascular Medicine top 0.5%
- Co-authors
- Edward M. RubinJonathan C. CohenAxel ViselHelen H. HobbsEric BoerwinkleAlexander PertsemlidisStefano RomeoJulia Kozlitina
- Topics
- Genomics and Chromatin Dynamics (48 papers)RNA Research and Splicing (29 papers)RNA and protein synthesis mechanisms (24 papers)
- Partner nations
- United StatesUnited KingdomFrance
In The Last Decade
L Pennacchio
154 papers receiving 18.6k citations
Hit Papers
Peers
Comparison fields: 5 of 172
- Molecular Biology 10.7k
- Genetics 4.9k
- Endocrinology, Diabetes and Metabolism 3.0k
- Epidemiology 3.0k
- Cardiology and Cardiovascular Medicine 2.4k
Countries citing papers authored by L Pennacchio
This map shows the geographic impact of L Pennacchio'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 L Pennacchio with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites L Pennacchio more than expected).
Fields of papers citing papers by L Pennacchio
This network shows the impact of papers produced by L Pennacchio. 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 L Pennacchio. The network helps show where L Pennacchio may publish in the future.
Co-authorship network of co-authors of L Pennacchio
This figure shows the co-authorship network connecting the top 25 collaborators of L Pennacchio. A scholar is included among the top collaborators of L Pennacchio based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with L Pennacchio. L Pennacchio is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 7 | |
| 3 | 10 | |
| 4 | 6 | |
| 5 | 27 | |
| 6 | 97 | |
| 7 | 35 | |
| 8 | 195 | |
| 9 | 77 | |
| 10 | 170 | |
| 11 | Isolation, characterization, and genome sequence of the first representative of a novel class within the Chloroflexi that is abundant in some U.S. Great Basin hot springs and may play important roles in N and C cycling | 1 |
| 12 | 47 | |
| 13 | 246 | |
| 14 | 43 | |
| 15 | 68 | |
| 16 | A Common Allele on Chromosome 9 Associated with Coronary Heart Diseasebreakdown → | 1164 |
| 17 | 445 | |
| 18 | Phosphorylation-dependent down-regulation of apolipoprotein A5 by insulin | 1 |
| 19 | Finishing The Euchromatic Sequence Of The Human Genome | 43 |
| 20 | An Apolipoprotein Influencing Triglycerides in Humans and Mice Revealed by Comparative Sequencingbreakdown → | 747 |
About L Pennacchio
L Pennacchio is a scholar working on Molecular Biology, Genetics and Biochemistry, having authored 158 papers that have together received 18.9k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (48 papers), RNA Research and Splicing (29 papers) and RNA and protein synthesis mechanisms (24 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (3.0k citations), Genetics (4.9k citations) and Molecular Biology (10.7k citations). L Pennacchio has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Edward M. Rubin, Jonathan C. Cohen, Axel Visel, Helen H. Hobbs, Eric Boerwinkle, Alexander Pertsemlidis, Stefano Romeo, Julia Kozlitina, David Cox and Chao Xing. Their work appears in journals such as Nature, Science and Cell.
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.