Eric R. Greene

2.2k citations
9 papers · 1.3k indexed · 2 hit papers · h-index 8
Topics
Ubiquitin and proteasome pathways (4 papers)Autophagy in Disease and Therapy (3 papers)Glycosylation and Glycoproteins Research (2 papers)
Partner nations
United StatesJordan

In The Last Decade

Eric R. Greene

9 papers receiving 1.3k citations

Hit Papers

Structure and Function of the 26S Proteasome201820262020202320182023100200300400500

Peers

Eric R. Greene
Comparison fields: 5 of 115
  • Molecular Biology 1.0k
  • Cell Biology 178
  • Oncology 173
  • Epidemiology 141
  • Genetics 98
Replace Jenille Tan with:
Jenille Tan United States
Patrick Erñst United States
Christopher J. Giuliano United States
Lilya V. Matyunina United States
Christian Bender Germany
Christoffer Norn United States
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Wayland Yeung United States
Danny A. Bitton United Kingdom
Eric R. Greene relative to Jenille Tan United States Jenille Tan's profile →
Citations per field
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Citations per year

Countries citing papers authored by Eric R. Greene

Since Specialization
Citations

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

Fields of papers citing papers by Eric R. Greene

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eric R. Greene. 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 Eric R. Greene. The network helps show where Eric R. Greene may publish in the future.

Co-authorship network of co-authors of Eric R. Greene

This figure shows the co-authorship network connecting the top 25 collaborators of Eric R. Greene. A scholar is included among the top collaborators of Eric R. Greene 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 Eric R. Greene. Eric R. Greene is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
#WorkIndexed citations
1 5
2
Large language models generate functional protein sequences across diverse familiesbreakdown →
487
3 38
4 37
5 19
6
Structure and Function of the 26S Proteasomebreakdown →
560
7 28
8 38
9 76

About Eric R. Greene

Eric R. Greene is a scholar working on Biotechnology, Cell Biology and Molecular Biology, having authored 9 papers that have together received 1.3k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (4 papers), Autophagy in Disease and Therapy (3 papers) and Glycosylation and Glycoproteins Research (2 papers). The work is most often cited by research in Health Informatics (23 citations), Molecular Biology (1.0k citations) and Cell Biology (178 citations). Eric R. Greene has collaborated with scholars based in United States and Jordan. Frequent co-authors include Andreas Martin, Ken C. Dong, Ellen A. Goodall, Jared A.M. Bard, Erik Jönsson, James S. Fraser, Ali Madani, Nikhil Naik, Ben Krause and James M. Holton. Their work appears in journals such as Proceedings of the National Academy of Sciences, Annual Review of Biochemistry and Nature Biotechnology.

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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