Susan W. Liebman

8.4k total citations · 1 hit paper
117 papers, 7.0k citations indexed

About

Susan W. Liebman is a scholar working on Molecular Biology, Neurology and Nutrition and Dietetics. According to data from OpenAlex, Susan W. Liebman has authored 117 papers receiving a total of 7.0k indexed citations (citations by other indexed papers that have themselves been cited), including 110 papers in Molecular Biology, 29 papers in Neurology and 18 papers in Nutrition and Dietetics. Recurrent topics in Susan W. Liebman's work include Prion Diseases and Protein Misfolding (50 papers), Fungal and yeast genetics research (38 papers) and Neurological diseases and metabolism (29 papers). Susan W. Liebman is often cited by papers focused on Prion Diseases and Protein Misfolding (50 papers), Fungal and yeast genetics research (38 papers) and Neurological diseases and metabolism (29 papers). Susan W. Liebman collaborates with scholars based in United States, United Kingdom and Japan. Susan W. Liebman's co-authors include Yury O. Chernoff, Irina L. Derkatch, Michael E. Bradley, С. Г. Инге-Вечтомов, Joo Y. Hong, Susan Lindquist, Bun‐ichiro Ono, Sviatoslav N. Bagriantsev, Vitaly V. Kushnirov and Fred Sherman and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Susan W. Liebman

116 papers receiving 7.0k citations

Hit Papers

Role of the Chaperone Protein Hsp104 in Propagation of th... 1995 2026 2005 2015 1995 250 500 750

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Susan W. Liebman United States 41 6.8k 2.1k 1.4k 1.1k 643 117 7.0k
Vitaly V. Kushnirov Russia 28 4.8k 0.7× 1.7k 0.8× 1.2k 0.9× 618 0.6× 554 0.9× 59 5.0k
Michael D. Ter‐Avanesyan Russia 33 4.4k 0.6× 1.4k 0.7× 983 0.7× 506 0.5× 424 0.7× 80 4.5k
Marı́a Gasset Spain 30 3.7k 0.5× 1.3k 0.6× 1.3k 0.9× 614 0.6× 194 0.3× 76 4.4k
С. Г. Инге-Вечтомов Russia 26 3.9k 0.6× 1.1k 0.5× 723 0.5× 403 0.4× 301 0.5× 149 4.1k
Herman K. Edskes United States 30 2.9k 0.4× 1.3k 0.6× 919 0.7× 604 0.6× 238 0.4× 77 3.1k
Daniel C. Masison United States 34 3.5k 0.5× 975 0.5× 760 0.5× 247 0.2× 621 1.0× 78 3.7k
Anthony S. Kowal United States 17 2.8k 0.4× 502 0.2× 343 0.2× 804 0.8× 727 1.1× 22 3.4k
Irina L. Derkatch United States 17 2.4k 0.4× 1.1k 0.5× 687 0.5× 445 0.4× 220 0.3× 23 2.5k
Heather L. True United States 22 2.8k 0.4× 556 0.3× 317 0.2× 308 0.3× 296 0.5× 51 3.0k
Randal Halfmann United States 20 2.8k 0.4× 516 0.2× 224 0.2× 457 0.4× 288 0.4× 38 3.1k

Countries citing papers authored by Susan W. Liebman

Since Specialization
Citations

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

Fields of papers citing papers by Susan W. Liebman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Susan W. Liebman. 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 Susan W. Liebman. The network helps show where Susan W. Liebman may publish in the future.

Co-authorship network of co-authors of Susan W. Liebman

This figure shows the co-authorship network connecting the top 25 collaborators of Susan W. Liebman. A scholar is included among the top collaborators of Susan W. Liebman 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 Susan W. Liebman. Susan W. Liebman 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
1.
2.
Park, Sangeun, et al.. (2019). Respiration Enhances TDP-43 Toxicity, but TDP-43 Retains Some Toxicity in the Absence of Respiration. Journal of Molecular Biology. 431(10). 2050–2059. 18 indexed citations
3.
Hong, Joo Y., Fatih Arslan, Vydehi Kanneganti, et al.. (2017). Overexpression of the essential Sis1 chaperone reduces TDP-43 effects on toxicity and proteolysis. PLoS Genetics. 13(5). e1006805–e1006805. 39 indexed citations
4.
Liebman, Susan W., et al.. (2013). Exploring the Basis of [PIN+] Variant Differences in [PSI+] Induction. Journal of Molecular Biology. 425(17). 3046–3059. 30 indexed citations
5.
Yang, Zi, Joo Y. Hong, Irina L. Derkatch, & Susan W. Liebman. (2013). Heterologous Gln/Asn-Rich Proteins Impede the Propagation of Yeast Prions by Altering Chaperone Availability. PLoS Genetics. 9(1). e1003236–e1003236. 29 indexed citations
6.
Chernova, Tatiana A., Andrey Romanyuk, Tatiana Karpova, et al.. (2011). Prion Induction by the Short-Lived, Stress-Induced Protein Lsb2 Is Regulated by Ubiquitination and Association with the Actin Cytoskeleton. Molecular Cell. 43(2). 242–252. 71 indexed citations
7.
Liebman, Susan W., et al.. (2009). Heterologous cross-seeding mimics cross-species prion conversion in a yeast model. BMC Biology. 7(1). 26–26. 23 indexed citations
8.
Derkatch, Irina L. & Susan W. Liebman. (2007). Prion-Prion Interactions. Prion. 1(3). 161–169. 42 indexed citations
9.
Wickner, Reed B., Susan W. Liebman, & Sven J. Saupe. (2004). 7 Prions of Yeast and Filamentous Fungi: [URE3], [ PSI + ], [ PIN + ], and [Het-s]. Cold Spring Harbor Monograph Archive. 41. 305–372. 13 indexed citations
10.
Bradley, Michael E., et al.. (2003). Guanidine reduces stop codon read‐through caused by missense mutations in SUP35 or SUP45. Yeast. 20(7). 625–632. 29 indexed citations
11.
Velichutina, Irina, Joo Y. Hong, Andrew D. Mesecar, Yury O. Chernoff, & Susan W. Liebman. (2001). Genetic interaction between yeast Saccharomyces cerevisiae release factors and the decoding region of 18 S rRNA. Journal of Molecular Biology. 305(4). 715–727. 23 indexed citations
12.
Liebman, Susan W. & Irina L. Derkatch. (1999). The Yeast [PSI+] Prion: Making Sense of Nonsense. Journal of Biological Chemistry. 274(3). 1181–1184. 75 indexed citations
13.
Qian, Zhijian, et al.. (1998). Yeast Ty1 Retrotransposition Is Stimulated by a Synergistic Interaction between Mutations in Chromatin Assembly Factor I and Histone Regulatory Proteins. Molecular and Cellular Biology. 18(8). 4783–4792. 50 indexed citations
14.
Velichutina, Irina, Michael J. Rogers, Thomas F. McCutchan, & Susan W. Liebman. (1998). Chimeric rRNAs containing the GTPase centers of the developmentally regulated ribosomal rRNAs of Plasmodium falciparum are functionally distinct. RNA. 4(5). 594–602. 38 indexed citations
15.
Liebman, Susan W., et al.. (1995). The accuracy center of a eukaryotic ribosome. Biochemistry and Cell Biology. 73(11-12). 1141–1149. 23 indexed citations
16.
17.
Hinnebusch, Alan G. & Susan W. Liebman. (1991). 11 Protein Synthesis and Translational Control in Saccharomyces cerevisiae. Cold Spring Harbor Monograph Archive. 627–735. 6 indexed citations
18.
Griffin, Edward F., et al.. (1990). Isolation of omnipotent suppressors in an [eta+] yeast strain.. Genetics. 124(3). 505–514. 17 indexed citations
19.
Wilke, Cailin Moira, et al.. (1989). Analysis of yeast retrotransposon Ty insertions at the CAN1 locus.. Genetics. 123(4). 655–665. 36 indexed citations
20.
Liebman, Susan W., et al.. (1984). Yeast amber suppressors corresponding to tRNA3Leu genes. Journal of Molecular Biology. 178(2). 209–226. 20 indexed citations

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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