David Landsman
- Molecular Biology top 0.5%
- Genomics and Chromatin Dynamics 65
- RNA and protein synthesis mechanisms 55
- Genomics and Phylogenetic Studies 25
- RNA Research and Splicing 25
- RNA modifications and cancer 15
- Epigenetics and DNA Methylation 9
- Bioinformatics and Genomic Networks 9
- Clinical Biochemistry top 2%
- Plant Science top 2%
- Chromosomal and Genetic Variations 11
- Genetics top 2%
- Cancer Research top 5%
- Co-authors
- Michael BustinLeonardo Mariño‐RamírezTyra G. WolfsbergAndreas D. BaxevanisAndrei GabrielianMichael J. CampbellRaymond J. ChoRoberto Vera Alvarez
- Journals
- Nucleic Acids Research (26 papers)Journal of Biological Chemistry (9 papers)Genome Research (6 papers)
- Partner nations
- United StatesColombiaCanada
In The Last Decade
David Landsman
144 papers receiving 7.2k citations
Hit Papers
Peers
Comparison fields: 5 of 157
- Molecular Biology 6.2k
- Clinical Biochemistry 230
- Plant Science 1.2k
- Genetics 853
- Cancer Research 334
Countries citing papers authored by David Landsman
This map shows the geographic impact of David Landsman'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 David Landsman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Landsman more than expected).
Fields of papers citing papers by David Landsman
This network shows the impact of papers produced by David Landsman. 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 David Landsman. The network helps show where David Landsman may publish in the future.
Co-authorship network
The 25 scholars most cited alongside David Landsman, 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 | 2024 | 8 | |
| 2 | 2024 | 5 | |
| 3 | 2023 | 3 | |
| 4 | 2022 | 31 | |
| 5 | 2021 | 59 | |
| 6 | 2020 | 8 | |
| 7 | 2020 | 38 | |
| 8 | Microsecond molecular dynamics simulations of nucleosomes:implications for nucleosome function | 2017 | 1 |
| 9 | 2011 | 35 | |
| 10 | 2011 | 20 | |
| 11 | 2009 | 7 | |
| 12 | 2005 | 232 | |
| 13 | 2005 | 80 | |
| 14 | 2004 | 168 | |
| 15 | 2001 | 64 | |
| 16 | 1997 | 9 | |
| 17 | 1995 | 27 | |
| 18 | 1992 | 118 | |
| 19 | 1990 | 12 | |
| 20 | 1988 | 2 |
About David Landsman
David Landsman is a scholar working on Molecular Biology, Plant Science, Molecular Medicine, Biological Psychiatry and Complementary and alternative medicine, having authored 145 papers that have together received 7.4k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (65 papers), RNA and protein synthesis mechanisms (55 papers), Genomics and Phylogenetic Studies (25 papers), RNA Research and Splicing (25 papers), RNA modifications and cancer (15 papers), Chromosomal and Genetic Variations (11 papers), Epigenetics and DNA Methylation (9 papers) and Bioinformatics and Genomic Networks (9 papers). The work is most often cited by research in Molecular Biology (6.2k citations), Clinical Biochemistry (230 citations), Plant Science (1.2k citations), Genetics (853 citations) and Cancer Research (334 citations). David Landsman has collaborated with scholars based in United States, Colombia and Canada. Frequent co-authors include Michael Bustin, Leonardo Mariño‐Ramírez, Tyra G. Wolfsberg, Andreas D. Baxevanis, Andrei Gabrielian, Michael J. Campbell, Raymond J. Cho, Roberto Vera Alvarez, Donald A. Lehn and Lisa Wodicka. Their work appears in journals such as Nucleic Acids Research, Journal of Biological Chemistry, Genome Research, Molecular and Cellular Biology and Journal of Molecular Biology.
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.