Kirill Bersuker

4.4k total citations · 1 hit paper
14 papers, 3.4k citations indexed

About

Kirill Bersuker is a scholar working on Molecular Biology, Cell Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Kirill Bersuker has authored 14 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 9 papers in Cell Biology and 5 papers in Cellular and Molecular Neuroscience. Recurrent topics in Kirill Bersuker's work include Ubiquitin and proteasome pathways (5 papers), Endoplasmic Reticulum Stress and Disease (5 papers) and Genetic Neurodegenerative Diseases (5 papers). Kirill Bersuker is often cited by papers focused on Ubiquitin and proteasome pathways (5 papers), Endoplasmic Reticulum Stress and Disease (5 papers) and Genetic Neurodegenerative Diseases (5 papers). Kirill Bersuker collaborates with scholars based in United States, Israel and Germany. Kirill Bersuker's co-authors include James A. Olzmann, Daniel K. Nomura, Joseph M. Hendricks, Scott J. Dixon, Melissa A. Roberts, Zhipeng Li, Michael C. Bassik, Bingqi Tong, Roberto Zoncu and Breanna Ford and has published in prestigious journals such as Nature, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Kirill Bersuker

13 papers receiving 3.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The CoQ oxidoreductase FSP1 acts parallel to GPX4 to inhibit ferroptosis

2019 2.6k citations Kirill Bersuker, Joseph M. Hendricks et al. Nature profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kirill Bersuker United States	10	2.3k	2.1k	1.5k	361	340	14	3.4k
Melissa A. Roberts United States	8	2.0k 0.9×	2.1k 1.0×	1.5k 1.0×	180 0.5×	89 0.3×	10	2.9k
Hyemin Lee United States	18	3.8k 1.7×	3.0k 1.4×	3.2k 2.1×	144 0.4×	168 0.5×	25	5.2k
Alexander M. Minikes United States	6	2.1k 0.9×	2.3k 1.1×	1.7k 1.1×	81 0.2×	163 0.5×	7	3.2k
Miki Hayano United States	6	2.2k 0.9×	2.4k 1.2×	1.8k 1.2×	111 0.3×	108 0.3×	6	3.2k
Yang Xie China	8	2.0k 0.9×	1.9k 0.9×	1.4k 0.9×	74 0.2×	143 0.4×	25	3.3k
Shang-Jui Wang United States	13	2.7k 1.2×	2.5k 1.2×	2.1k 1.4×	132 0.4×	95 0.3×	29	4.0k
Yuelong Yan United States	11	2.1k 0.9×	2.1k 1.0×	1.6k 1.0×	77 0.2×	122 0.4×	18	3.1k
Tongyuan Li United States	9	3.0k 1.3×	2.5k 1.2×	2.2k 1.4×	84 0.2×	160 0.5×	11	4.3k
Eric D. Lee United States	5	1.6k 0.7×	1.9k 0.9×	1.4k 0.9×	91 0.3×	90 0.3×	8	2.5k
Pranavi Koppula United States	15	4.9k 2.2×	5.1k 2.5×	3.9k 2.6×	363 1.0×	218 0.6×	19	7.2k

Countries citing papers authored by Kirill Bersuker

Since Specialization

Citations

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

Fields of papers citing papers by Kirill Bersuker

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kirill Bersuker

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

All Works

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14 of 14 papers shown

Olsson, Niclas, Austin E.Y.T. Lefebvre, Mark E. Fitzgerald, et al.. (2025). BiDAC-dependent degradation of plasma membrane proteins by the endolysosomal system. Nature Communications. 16(1). 4345–4345. 1 indexed citations

Hendricks, Joseph M., Eddie Wehri, Zhipeng Li, et al.. (2023). Identification of structurally diverse FSP1 inhibitors that sensitize cancer cells to ferroptosis. Cell chemical biology. 30(9). 1090–1103.e7. 65 indexed citations

Bersuker, Kirill, Joseph M. Hendricks, Zhipeng Li, et al.. (2019). The CoQ oxidoreductase FSP1 acts parallel to GPX4 to inhibit ferroptosis. Nature. 575(7784). 688–692. 2643 indexed citations breakdown →

Bersuker, Kirill & James A. Olzmann. (2019). Identification of Lipid Droplet Proteomes by Proximity Labeling Proteomics Using APEX2. Methods in molecular biology. 2008. 57–72. 10 indexed citations

Bersuker, Kirill & James A. Olzmann. (2018). In Close Proximity: The Lipid Droplet Proteome and Crosstalk With the Endoplasmic Reticulum. SHILAP Revista de lepidopterología. 1. 9 indexed citations

Novoplansky, Ofra, et al.. (2017). Ubiquitin Accumulation on Disease Associated Protein Aggregates Is Correlated with Nuclear Ubiquitin Depletion, Histone De-Ubiquitination and Impaired DNA Damage Response. PLoS ONE. 12(1). e0169054–e0169054. 31 indexed citations

Bersuker, Kirill, Milton To, Steffen J. Sahl, et al.. (2017). A Proximity Labeling Strategy Provides Insights into the Composition and Dynamics of Lipid Droplet Proteomes. Developmental Cell. 44(1). 97–112.e7. 260 indexed citations

Bersuker, Kirill & James A. Olzmann. (2017). Establishing the lipid droplet proteome: Mechanisms of lipid droplet protein targeting and degradation. Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids. 1862(10). 1166–1177. 119 indexed citations

Bersuker, Kirill, Michael Brandeis, & Ron R. Kopito. (2016). Protein misfolding specifies recruitment to cytoplasmic inclusion bodies. The Journal of Cell Biology. 213(2). 229–241. 31 indexed citations

10.

Bersuker, Kirill, Michael Brandeis, & Ron R. Kopito. (2016). Protein misfolding specifies recruitment to cytoplasmic inclusion bodies. The Journal of Experimental Medicine. 213(5). 2135OIA34–2135OIA34.

11.

Bersuker, Kirill, Mark S. Hipp, Barbara Calamini, Richard I. Morimoto, & Ron R. Kopito. (2013). Heat Shock Response Activation Exacerbates Inclusion Body Formation in a Cellular Model of Huntington Disease. Journal of Biological Chemistry. 288(33). 23633–23638. 39 indexed citations

12.

Hipp, Mark S., Chetan N. Patel, Kirill Bersuker, et al.. (2012). Indirect inhibition of 26S proteasome activity in a cellular model of Huntington’s disease. The Journal of Cell Biology. 196(5). 573–587. 131 indexed citations

13.

Hipp, Mark S., Kirill Bersuker, & Ron R. Kopito. (2012). Live-Cell Imaging of Ubiquitin–Proteasome System Function. Methods in molecular biology. 832. 463–472. 4 indexed citations

14.

Bersuker, Kirill, et al.. (2009). AP180-Mediated Trafficking of Vamp7B Limits Homotypic Fusion ofDictyosteliumContractile Vacuoles. Molecular Biology of the Cell. 20(20). 4278–4288. 23 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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