Benjamin I. Laufer
- Molecular Biology top 10%
- Pediatrics, Perinatology and Child Health top 2%
- Genetics top 10%
- Physiology
- Cancer Research
- Co-authors
- Shiva M. SinghEric Chater‐DiehlChristina A. CastellaniMorgan L. KleiberJanine M. LaSalleMelkaye G. MelkaCharles E. MordauntAnnie Vogel Ciernia
- Topics
- Epigenetics and DNA Methylation (23 papers)Prenatal Substance Exposure Effects (13 papers)Birth, Development, and Health (12 papers)
- Partner nations
- CanadaUnited StatesFrance
In The Last Decade
Benjamin I. Laufer
35 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 95
- Molecular Biology 718
- Pediatrics, Perinatology and Child Health 411
- Genetics 253
- Physiology 111
- Cancer Research 98
Countries citing papers authored by Benjamin I. Laufer
This map shows the geographic impact of Benjamin I. Laufer'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 Benjamin I. Laufer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benjamin I. Laufer more than expected).
Fields of papers citing papers by Benjamin I. Laufer
This network shows the impact of papers produced by Benjamin I. Laufer. 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 Benjamin I. Laufer. The network helps show where Benjamin I. Laufer may publish in the future.
Co-authorship network of co-authors of Benjamin I. Laufer
This figure shows the co-authorship network connecting the top 25 collaborators of Benjamin I. Laufer. A scholar is included among the top collaborators of Benjamin I. Laufer based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Benjamin I. Laufer. Benjamin I. Laufer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | Cross-species transcriptomic atlas of dorsal root ganglia reveals species-specific programs for sensory functionbreakdown → | 95 |
| 3 | 38 | |
| 4 | 6 | |
| 5 | 8 | |
| 6 | 15 | |
| 7 | 10 | |
| 8 | 31 | |
| 9 | 8 | |
| 10 | 33 | |
| 11 | 27 | |
| 12 | 20 | |
| 13 | 53 | |
| 14 | 33 | |
| 15 | 45 | |
| 16 | 47 | |
| 17 | 26 | |
| 18 | 46 | |
| 19 | 33 | |
| 20 | 43 |
About Benjamin I. Laufer
Benjamin I. Laufer is a scholar working on Biological Psychiatry, Pediatrics, Perinatology and Child Health and Aging, having authored 35 papers that have together received 1.2k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (23 papers), Prenatal Substance Exposure Effects (13 papers) and Birth, Development, and Health (12 papers). The work is most often cited by research in Pediatrics, Perinatology and Child Health (411 citations), Biological Psychiatry (44 citations) and Developmental Neuroscience (71 citations). Benjamin I. Laufer has collaborated with scholars based in Canada, United States and France. Frequent co-authors include Shiva M. Singh, Eric Chater‐Diehl, Christina A. Castellani, Morgan L. Kleiber, Janine M. LaSalle, Melkaye G. Melka, Charles E. Mordaunt, Annie Vogel Ciernia, Hye‐Yeon Hwang and Dag H. Yasui. Their work appears in journals such as Nature Communications, PLoS ONE and Brain 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.