Lee D. Kapp
Impact in
- Molecular Biology top 10%
- RNA and protein synthesis mechanisms
- RNA Research and Splicing
- RNA modifications and cancer
- RNA regulation and disease
- CRISPR and Genetic Engineering
- PI3K/AKT/mTOR signaling in cancer
Papers in
-
- RNA and protein synthesis mechanisms 3
- Pluripotent Stem Cells Research 2
- Renal and related cancers 2
- RNA regulation and disease 2
- RNA modifications and cancer 2
- RNA Research and Splicing 2
- Developmental Biology and Gene Regulation 2
- Genetics 2
- Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities 1
- Co-authors
- Jon R. Lorsch (4 shared papers)Florence L. Marlow (6 shared papers)Mary C. Mullins (6 shared papers)Elliott W. Abrams (6 shared papers)Sarah Kolitz (2 shared papers)Randal J. Kaufman (1 shared paper)William C. Merrick (1 shared paper)Jerry Pelletier (1 shared paper)
- Journals
- PLoS Genetics (4 papers)Developmental Biology (1 paper)Molecular Biology of the Cell (1 paper)RNA (1 paper)Annual Review of Biochemistry (1 paper)
- Partner nations
- United StatesGermanyCanada
In The Last Decade
Lee D. Kapp
10 papers receiving 783 citations
Peers
Comparison fields: 5 of 71
- Molecular Biology 671
- Aging 13
- Cell Biology 93
- Cardiology and Cardiovascular Medicine 81
- Hepatology 26
Countries citing papers authored by Lee D. Kapp
This map shows the geographic impact of Lee D. Kapp'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 Lee D. Kapp with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lee D. Kapp more than expected).
Fields of papers citing papers by Lee D. Kapp
This network shows the impact of papers produced by Lee D. Kapp. 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 Lee D. Kapp. The network helps show where Lee D. Kapp may publish in the future.
Co-authors
The 25 scholars most cited alongside Lee D. Kapp, 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 | 2004 | 392 | |
| 2 | 2003 | 114 | |
| 3 | 2006 | 107 | |
| 4 | 2012 | 38 | |
| 5 | 2013 | 37 | |
| 6 | 2013 | 34 | |
| 7 | 2006 | 29 | |
| 8 | 2012 | 25 | |
| 9 | 2020 | 15 | |
| 10 | 2024 | 3 |
About Lee D. Kapp
Lee D. Kapp is a scholar working on Molecular Biology, Genetics, Cardiology and Cardiovascular Medicine, Public Health, Environmental and Occupational Health and Physiology, having authored 10 papers that have together received 794 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (3 papers), Pluripotent Stem Cells Research (2 papers), Renal and related cancers (2 papers), RNA regulation and disease (2 papers), RNA modifications and cancer (2 papers), RNA Research and Splicing (2 papers), Developmental Biology and Gene Regulation (2 papers) and Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (1 paper). The work is most often cited by research in Molecular Biology (671 citations), Aging (13 citations), Cell Biology (93 citations), Cardiology and Cardiovascular Medicine (81 citations) and Hepatology (26 citations). Lee D. Kapp has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Jon R. Lorsch, Florence L. Marlow, Mary C. Mullins, Elliott W. Abrams, Sarah Kolitz, Randal J. Kaufman, William C. Merrick, Jerry Pelletier, Antonis E. Koromilas and Shakila Nargis Khan. Their work appears in journals such as PLoS Genetics, Developmental Biology, Molecular Biology of the Cell, RNA and Annual Review of Biochemistry.
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.