Glen Liszczak

2.1k citations
25 papers · 1.5k indexed · 1 hit paper · h-index 15
Topics
Ubiquitin and proteasome pathways (7 papers)Peptidase Inhibition and Analysis (6 papers)Genomics and Chromatin Dynamics (5 papers)

In The Last Decade

Glen Liszczak

23 papers receiving 1.5k citations

Hit Papers

Virtual Ligand Screening of the p300/CBP Histone Acetyltr...20102026201520202010100200300400500

Peers

Glen Liszczak
Comparison fields: 5 of 90
  • Molecular Biology 1.2k
  • Oncology 532
  • Cancer Research 128
  • Immunology 77
  • Genetics 73
Replace Ryohei Furumai with:
Ryohei Furumai Japan
Marc A. Holbert United States
Christopher Berndsen United States
Marina K. Ayrapetov United States
Sébastien Britton France
Darin McDonald Canada
Sebastian Eustermann Germany
Jana Qiao United States
Stephanie Jungmichel Switzerland
Nicola Wiechens United Kingdom
Glen Liszczak relative to Ryohei Furumai Japan Ryohei Furumai's profile →
Citations per field
00.5×5.0×
Ryohei Furumai · 1×
Citations per year

Countries citing papers authored by Glen Liszczak

Since Specialization
Citations

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

Fields of papers citing papers by Glen Liszczak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Glen Liszczak. 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 Glen Liszczak. The network helps show where Glen Liszczak may publish in the future.

Co-authorship network of co-authors of Glen Liszczak

This figure shows the co-authorship network connecting the top 25 collaborators of Glen Liszczak. A scholar is included among the top collaborators of Glen Liszczak 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 Glen Liszczak. Glen Liszczak 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
#WorkIndexed citations
1 0
2 0
3 8
4 1
5 31
6 63
7 43
8 58
9 74
10 2
11 136
12 81
13 13
14 1
15 62
16 88
17 122
18 3
19 80
20
Virtual Ligand Screening of the p300/CBP Histone Acetyltransferase: Identification of a Selective Small Molecule Inhibitorbreakdown →
504

About Glen Liszczak

Glen Liszczak is a scholar working on Oncology, Molecular Biology and Physiology, having authored 25 papers that have together received 1.5k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (7 papers), Peptidase Inhibition and Analysis (6 papers) and Genomics and Chromatin Dynamics (5 papers). The work is most often cited by research in Oncology (532 citations), Molecular Biology (1.2k citations) and Geriatrics and Gerontology (34 citations). Glen Liszczak has collaborated with scholars based in United States, United Kingdom and Norway. Frequent co-authors include Ronen Marmorstein, Tom W. Muir, Thomas Arnesen, Geoffrey P. Dann, Katharine L. Diehl, Erin M. Bowers, Philip A. Cole, Ling Wang, Chandrani Mukherjee and Nicholas T. Crump. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.

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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