David Schlessinger
- Genetics top 0.5%
- Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities 7
- Genetics and Neurodevelopmental Disorders 6
- Genetic Associations and Epidemiology 5
- Molecular Biology top 5%
- RNA and protein synthesis mechanisms 9
- Genomics and Chromatin Dynamics 6
- CRISPR and Genetic Engineering 5
- Cognitive Neuroscience top 5%
- Biological Psychiatry top 10%
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- Chromosomal and Genetic Variations 13
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- Bacteriophages and microbial interactions 5
- Co-authors
- K. HolmanMichael LynchShuancang YuElizabeth BakerEric J. KremerMelanie PritchardRobert I. RichardsG.R. Sutherland
- Partner nations
- United StatesItalyJapan
In The Last Decade
David Schlessinger
58 papers receiving 3.6k citations
Hit Papers
Peers
Comparison fields: 5 of 133
- Genetics 2.2k
- Molecular Biology 2.4k
- Cognitive Neuroscience 577
- Cellular and Molecular Neuroscience 413
- Biological Psychiatry 51
Countries citing papers authored by David Schlessinger
This map shows the geographic impact of David Schlessinger'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 Schlessinger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Schlessinger more than expected).
Fields of papers citing papers by David Schlessinger
This network shows the impact of papers produced by David Schlessinger. 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 Schlessinger. The network helps show where David Schlessinger may publish in the future.
Co-authorship network
The 25 scholars most cited alongside David Schlessinger, 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 | 2023 | 0 | |
| 2 | 2020 | 13 | |
| 3 | 2013 | 59 | |
| 4 | 2011 | 61 | |
| 5 | 2009 | 184 | |
| 6 | 2007 | 251 | |
| 7 | 2005 | 63 | |
| 8 | 2001 | 46 | |
| 9 | 1998 | 82 | |
| 10 | 1997 | 14 | |
| 11 | 1997 | 47 | |
| 12 | 1995 | 53 | |
| 13 | 1994 | 15 | |
| 14 | 1994 | 6 | |
| 15 | 1993 | 15 | |
| 16 | 1993 | 10 | |
| 17 | 1993 | 76 | |
| 18 | 1991 | 91 | |
| 19 | 1991 | 35 | |
| 20 | 1990 | 76 |
About David Schlessinger
David Schlessinger is a scholar working on Aging, Genetics and Neuropsychology and Physiological Psychology, having authored 61 papers that have together received 3.8k indexed citations. Recurring topics across this work include Chromosomal and Genetic Variations (13 papers), RNA and protein synthesis mechanisms (9 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (7 papers), Genomics and Chromatin Dynamics (6 papers), Genetics and Neurodevelopmental Disorders (6 papers), CRISPR and Genetic Engineering (5 papers), Genetic Associations and Epidemiology (5 papers) and Bacteriophages and microbial interactions (5 papers). The work is most often cited by research in Genetics (2.2k citations), Molecular Biology (2.4k citations) and Cognitive Neuroscience (577 citations). David Schlessinger has collaborated with scholars based in United States, Italy and Japan. Frequent co-authors include K. Holman, Michael Lynch, Shuancang Yu, Elizabeth Baker, Eric J. Kremer, Melanie Pritchard, Robert I. Richards, G.R. Sutherland, Stephen T. Warren and Michele D’Urso. Their work appears in journals such as Genomics, Human Molecular Genetics, Nucleic Acids Research, Gene and Journal of Bacteriology.
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.