Mark S. Lechner
Impact in
- Molecular Biology top 10%
- Genomics and Chromatin Dynamics
- Renal and related cancers
- RNA Research and Splicing
- Epigenetics and DNA Methylation
- DNA Repair Mechanisms
- Genetics top 10%
- Virus-based gene therapy research
Papers in
-
- Genomics and Chromatin Dynamics 6
- Renal and related cancers 5
- RNA Research and Splicing 3
- Pluripotent Stem Cells Research 2
- Biomedical Text Mining and Ontologies 2
- Genetics 4
- Co-authors
- Gregory R. Dressler (4 shared papers)Laimonis A. Laimins (3 shared papers)Frank J. Rauscher (3 shared papers)Quinn C. Vega (1 shared paper)Carolyn A. Worby (1 shared paper)Gillian E. Begg (2 shared papers)Jack E. Dixon (1 shared paper)David W. Speicher (2 shared papers)
- Journals
- Molecular and Cellular Biology (2 papers)Journal of Biological Chemistry (2 papers)Experimental Cell Research (1 paper)WIREs Systems Biology and Medicine (1 paper)The EMBO Journal (1 paper)
- Partner nations
- United StatesCanada
In The Last Decade
Mark S. Lechner
19 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 83
- Molecular Biology 1.3k
- Genetics 379
- Urology 77
- Oncology 284
- Aging 20
Countries citing papers authored by Mark S. Lechner
This map shows the geographic impact of Mark S. Lechner'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 Mark S. Lechner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark S. Lechner more than expected).
Fields of papers citing papers by Mark S. Lechner
This network shows the impact of papers produced by Mark S. Lechner. 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 Mark S. Lechner. The network helps show where Mark S. Lechner may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark S. Lechner, 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 | 1992 | 247 | |
| 2 | 1996 | 213 | |
| 3 | 2009 | 202 | |
| 4 | 1994 | 186 | |
| 5 | 1997 | 168 | |
| 6 | 2000 | 168 | |
| 7 | 2005 | 167 | |
| 8 | 2002 | 74 | |
| 9 | 2000 | 69 | |
| 10 | 1996 | 59 | |
| 11 | 1998 | 57 | |
| 12 | 2008 | 28 | |
| 13 | 2010 | 24 | |
| 14 | 2011 | 21 | |
| 15 | 1991 | 15 | |
| 16 | 2005 | 13 | |
| 17 | 2004 | 11 | |
| 18 | 2000 | 4 | |
| 19 | Insights Into Cornelia de Lange Syndrome From the Nipbl-Mutant Mouse | 2010 | 3 |
About Mark S. Lechner
Mark S. Lechner is a scholar working on Molecular Biology, Genetics, Oncology, Cancer Research and Pediatrics, Perinatology and Child Health, having authored 19 papers that have together received 1.7k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (6 papers), Renal and related cancers (5 papers), Cancer-related Molecular Pathways (3 papers), Chromosomal and Genetic Variations (3 papers), RNA Research and Splicing (3 papers), Pluripotent Stem Cells Research (2 papers), Biomedical Text Mining and Ontologies (2 papers) and Cervical Cancer and HPV Research (2 papers). The work is most often cited by research in Molecular Biology (1.3k citations), Genetics (379 citations), Urology (77 citations), Oncology (284 citations) and Aging (20 citations). Mark S. Lechner has collaborated with scholars based in United States and Canada. Frequent co-authors include Gregory R. Dressler, Laimonis A. Laimins, Frank J. Rauscher, Quinn C. Vega, Carolyn A. Worby, Gillian E. Begg, Jack E. Dixon, David W. Speicher, Karen H. Vousden and David H. Mack. Their work appears in journals such as Molecular and Cellular Biology, Journal of Biological Chemistry, Experimental Cell Research, WIREs Systems Biology and Medicine and The EMBO Journal.
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.