Avi J. Samelson

8 papers receiving 1.2k citations

Hit Papers

Genome-wide programmable transcriptional memory by CRISPR-based epigenome editing 2021 · 433 citations
4332021202620222024100200300400

Peers

Avi J. Samelson
Comparison fields: 5 of 87
  • Structural Biology 33
  • Aging 37
  • Molecular Biology 1.0k
  • Virology 56
  • Business and International Management 20
Replace Edward J. Brignole with:
Edward J. Brignole United States
Scott Classen United States
Artem Y. Lyubimov United States
David Haselbach Austria
Katarzyna Buczak Switzerland
Takeshi Tenno Japan
Leifu Chang United Kingdom
Stefan Bohn Germany
Marina Feric United States
Joseph S. Glavy United States
Avi J. Samelson relative to Edward J. Brignole United States Edward J. Brignole's profile →
Citations per field
00.5×6.7×
Edward J. Brignole · 1×
Citations per year

Countries citing papers authored by Avi J. Samelson

Since Specialization
Citations

This map shows the geographic impact of Avi J. Samelson'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 Avi J. Samelson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Avi J. Samelson more than expected).

Fields of papers citing papers by Avi J. Samelson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Avi J. Samelson. 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 Avi J. Samelson. The network helps show where Avi J. Samelson may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Avi J. Samelson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Avi J. Samelson Line = papers co-authored together Avi J. Samelson links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 20253
2 20230
3
Genome-wide programmable transcriptional memory by CRISPR-based epigenome editing
Hit paper breakdown →
2021433
4 202022
5 2019114
6 201842
7 201660
8 201275
9 2011460

About Avi J. Samelson

Avi J. Samelson is a scholar working on Physiology, Virology, Neurology, Molecular Biology and Cell Biology, having authored 9 papers that have together received 1.2k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (3 papers), CRISPR and Genetic Engineering (2 papers), RNA and protein synthesis mechanisms (2 papers), Enzyme Structure and Function (2 papers), Force Microscopy Techniques and Applications (1 paper), Mass Spectrometry Techniques and Applications (1 paper), HIV Research and Treatment (1 paper) and Pluripotent Stem Cells Research (1 paper). The work is most often cited by research in Structural Biology (33 citations), Aging (37 citations), Molecular Biology (1.0k citations), Virology (56 citations) and Business and International Management (20 citations). Avi J. Samelson has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Tom Alber, James S. Fraser, Nathaniel Echols, Henry van den Bedem, P. Therese Lang, James M. Holton, Susan Marqusee, Gokul N. Ramadoss, Volker Hovestadt and Luke A. Gilbert. Their work appears in journals such as Proceedings of the National Academy of Sciences, Science Advances, Cell, Neuron and Journal of Biological Chemistry.

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.

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