Michael A. Erb

4.9k total citations · 2 hit papers
49 papers, 2.9k citations indexed

About

Michael A. Erb is a scholar working on Molecular Biology, Epidemiology and Surgery. According to data from OpenAlex, Michael A. Erb has authored 49 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 7 papers in Epidemiology and 4 papers in Surgery. Recurrent topics in Michael A. Erb's work include Protein Degradation and Inhibitors (15 papers), Ubiquitin and proteasome pathways (14 papers) and Histone Deacetylase Inhibitors Research (7 papers). Michael A. Erb is often cited by papers focused on Protein Degradation and Inhibitors (15 papers), Ubiquitin and proteasome pathways (14 papers) and Histone Deacetylase Inhibitors Research (7 papers). Michael A. Erb collaborates with scholars based in United States, Austria and Switzerland. Michael A. Erb's co-authors include James E. Bradner, Georg Winter, Nathanael S. Gray, Joshiawa Paulk, Thomas G. Scott, Dennis L. Buckley, Matthew A. Lawlor, Behnam Nabet, Jun Qi and Justin M. Roberts and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Michael A. Erb

48 papers receiving 2.9k citations

Hit Papers

The dTAG system for immediate and target-specific protein... 2017 2026 2020 2023 2018 2017 200 400 600

Peers

Michael A. Erb
Comparison fields: 5 of 114
  • Molecular Biology 2.5k
  • Oncology 555
  • Hematology 320
  • Cell Biology 152
  • Immunology 132
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Citations per field, relative to Michael A. Erb
Michael A. Erb · 1×
Citations per year, relative to Michael A. Erb
Michael A. Erb · 1×

Countries citing papers authored by Michael A. Erb

Since Specialization
Citations

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

Fields of papers citing papers by Michael A. Erb

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael A. Erb. 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 Michael A. Erb. The network helps show where Michael A. Erb may publish in the future.

Co-authorship network of co-authors of Michael A. Erb

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 13
2 4
3 15
4 38
5 63
6 38
7 26
8 16
9 35
10 129
11 3
12 167
13
Transcription control by the ENL YEATS domain in acute leukaemia
1
14
Pharmacological perturbation of CDK9 using selective CDK9 inhibition or degradation
1
15 187
16 204
17 0
18 92
19 152
20 82

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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