David M. Lonard
Impact in
- Genetics top 0.5%
- Estrogen and related hormone effects
- Molecular Biology top 1%
- Ubiquitin and proteasome pathways
- Retinoids in leukemia and cellular processes
- RNA Research and Splicing
- Protein Degradation and Inhibitors
- Genomics and Chromatin Dynamics
Papers in
-
- Ubiquitin and proteasome pathways 19
- Protein Degradation and Inhibitors 12
- Genomics and Chromatin Dynamics 9
- Retinoids in leukemia and cellular processes 7
- RNA Research and Splicing 7
- Genetics 45
- Estrogen and related hormone effects 42
- Co-authors
- Bert W. O’Malley (70 shared papers)Zafar Nawaz (5 shared papers)Carolyn L. Smith (3 shared papers)Sophia Y. Tsai (8 shared papers)Ming‐Jer Tsai (8 shared papers)Qin Feng (6 shared papers)Rainer B. Lanz (6 shared papers)C. Smith (3 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (6 papers)Molecular Cell (6 papers)Molecular Endocrinology (6 papers)PLoS ONE (5 papers)Cancer Research (4 papers)
- Partner nations
- United StatesChinaIsrael
In The Last Decade
David M. Lonard
86 papers receiving 6.0k citations
Peers
Comparison fields: 5 of 115
- Genetics 2.6k
- Molecular Biology 3.8k
- Oncology 1.3k
- Cancer Research 669
- Immunology 669
Countries citing papers authored by David M. Lonard
This map shows the geographic impact of David M. Lonard'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 M. Lonard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David M. Lonard more than expected).
Fields of papers citing papers by David M. Lonard
This network shows the impact of papers produced by David M. Lonard. 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 M. Lonard. The network helps show where David M. Lonard may publish in the future.
Co-authors
The 25 scholars most cited alongside David M. Lonard, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 89 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 499 | |
| 2 | 2000 | 475 | |
| 3 | 2007 | 371 | |
| 4 | 1999 | 361 | |
| 5 | 2006 | 250 | |
| 6 | 2007 | 225 | |
| 7 | 2007 | 221 | |
| 8 | 2006 | 216 | |
| 9 | 2012 | 202 | |
| 10 | 2013 | 185 | |
| 11 | 2007 | 181 | |
| 12 | 2013 | 154 | |
| 13 | 2014 | 146 | |
| 14 | 2002 | 135 | |
| 15 | 2005 | 130 | |
| 16 | 2007 | 113 | |
| 17 | 2021 | 101 | |
| 18 | 2011 | 100 | |
| 19 | 2012 | 98 | |
| 20 | 2013 | 87 |
About David M. Lonard
David M. Lonard is a scholar working on Molecular Biology, Genetics, Oncology, Immunology and Cancer Research, having authored 89 papers that have together received 6.0k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (42 papers), Ubiquitin and proteasome pathways (19 papers), Cytokine Signaling Pathways and Interactions (13 papers), Protein Degradation and Inhibitors (12 papers), Reproductive System and Pregnancy (9 papers), Genomics and Chromatin Dynamics (9 papers), Retinoids in leukemia and cellular processes (7 papers) and RNA Research and Splicing (7 papers). The work is most often cited by research in Genetics (2.6k citations), Molecular Biology (3.8k citations), Oncology (1.3k citations), Cancer Research (669 citations) and Immunology (669 citations). David M. Lonard has collaborated with scholars based in United States, China and Israel. Frequent co-authors include Bert W. O’Malley, Zafar Nawaz, Carolyn L. Smith, Sophia Y. Tsai, Ming‐Jer Tsai, Qin Feng, Rainer B. Lanz, C. Smith, Yang Yu and Xiaotao Li. Their work appears in journals such as Proceedings of the National Academy of Sciences, Molecular Cell, Molecular Endocrinology, PLoS ONE and Cancer Research.
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.