Julia A. Bubis

720 total citations
26 papers, 420 citations indexed

About

Julia A. Bubis is a scholar working on Molecular Biology, Spectroscopy and Oncology. According to data from OpenAlex, Julia A. Bubis has authored 26 papers receiving a total of 420 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 20 papers in Spectroscopy and 2 papers in Oncology. Recurrent topics in Julia A. Bubis's work include Advanced Proteomics Techniques and Applications (19 papers), Mass Spectrometry Techniques and Applications (16 papers) and Metabolomics and Mass Spectrometry Studies (10 papers). Julia A. Bubis is often cited by papers focused on Advanced Proteomics Techniques and Applications (19 papers), Mass Spectrometry Techniques and Applications (16 papers) and Metabolomics and Mass Spectrometry Studies (10 papers). Julia A. Bubis collaborates with scholars based in Russia, Denmark and Austria. Julia A. Bubis's co-authors include Mikhail V. Gorshkov, Mark V. Ivanov, Lev I. Levitsky, Frank Kjeldsen, Vladimir Gorshkov, Elizaveta M. Solovyeva, Irina A. Tarasova, Anna A. Lobas, Sergei A. Moshkovskii and Peter M. Chumakov and has published in prestigious journals such as Nature Communications, Analytical Chemistry and Nature Methods.

In The Last Decade

Julia A. Bubis

23 papers receiving 415 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Julia A. Bubis Russia 14 304 237 41 33 30 26 420
Elizaveta M. Solovyeva Russia 12 263 0.9× 182 0.8× 41 1.0× 28 0.8× 28 0.9× 29 375
Pan Fang China 13 511 1.7× 166 0.7× 60 1.5× 35 1.1× 29 1.0× 16 621
Timothy N. Tiambeng United States 10 262 0.9× 100 0.4× 48 1.2× 46 1.4× 26 0.9× 12 367
Rebecca J. Burnley United Kingdom 10 244 0.8× 140 0.6× 15 0.4× 27 0.8× 56 1.9× 12 382
John T. Mehl United States 12 391 1.3× 201 0.8× 19 0.5× 67 2.0× 12 0.4× 23 579
Justin Jiang United States 5 288 0.9× 71 0.3× 37 0.9× 48 1.5× 37 1.2× 9 412
Martin Sturm Austria 7 497 1.6× 201 0.8× 13 0.3× 25 0.8× 20 0.7× 11 650
Florian Georgescauld France 11 351 1.2× 89 0.4× 25 0.6× 14 0.4× 119 4.0× 20 412
Erik T. Hernandez United States 7 231 0.8× 56 0.2× 23 0.6× 68 2.1× 25 0.8× 8 314

Countries citing papers authored by Julia A. Bubis

Since Specialization
Citations

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

Fields of papers citing papers by Julia A. Bubis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Julia A. Bubis

This figure shows the co-authorship network connecting the top 25 collaborators of Julia A. Bubis. A scholar is included among the top collaborators of Julia A. Bubis 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 Julia A. Bubis. Julia A. Bubis 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.
Bubis, Julia A., et al.. (2025). Breaking barriers in crosslinking mass spectrometry with enhanced throughput and sensitivity using Orbitrap Astral. Nature Communications. 16(1). 9877–9877.
2.
Bubis, Julia A., Tabiwang N. Arrey, Eugen Damoc, et al.. (2025). Challenging the Astral mass analyzer to quantify up to 5,300 proteins per single cell at unseen accuracy to uncover cellular heterogeneity. Nature Methods. 22(3). 510–519. 16 indexed citations
3.
Ivanov, Mark V., Julia A. Bubis, Vladimir Gorshkov, et al.. (2024). Ultrafast metaproteomics for quantitative assessment of strain isolates and microbiomes. Microchemical Journal. 207. 111823–111823. 1 indexed citations
4.
Bubis, Julia A., Anna A. Lobas, Mark V. Ivanov, et al.. (2024). On the utility of ultrafast MS1-only proteomics in drug target discovery studies based on thermal proteome profiling method. Analytical and Bioanalytical Chemistry. 416(18). 4083–4089. 4 indexed citations
5.
Levitsky, Lev I., et al.. (2023). IQMMA: Efficient MS1 Intensity Extraction Pipeline Using Multiple Feature Detection Algorithms for DDA Proteomics. Journal of Proteome Research. 22(9). 2827–2835.
6.
Bubis, Julia A., Vladimir Gorshkov, Frank Kjeldsen, et al.. (2023). Yeast Ribonucleotide Reductase Is a Direct Target of the Proteasome and Provides Hyper Resistance to the Carcinogen 4-NQO. Journal of Fungi. 9(3). 351–351. 2 indexed citations
7.
Solovyeva, Elizaveta M., Julia A. Bubis, Irina A. Tarasova, et al.. (2022). On the Feasibility of Using an Ultra-Fast DirectMS1 Method of Proteome-Wide Analysis for Searching Drug Targets in Chemical Proteomics. Biochemistry (Moscow). 87(11). 1342–1353. 5 indexed citations
8.
Luo, Xiyang, Wout Bittremieux, Johannes Griss, et al.. (2022). A Comprehensive Evaluation of Consensus Spectrum Generation Methods in Proteomics. Journal of Proteome Research. 21(6). 1566–1574. 5 indexed citations
9.
Ivanov, Mark V., Julia A. Bubis, Vladimir Gorshkov, et al.. (2022). DirectMS1Quant: Ultrafast Quantitative Proteomics with MS/MS-Free Mass Spectrometry. Analytical Chemistry. 94(38). 13068–13075. 19 indexed citations
10.
Solovyeva, Elizaveta M., Lev I. Levitsky, Julia A. Bubis, et al.. (2022). Proteomics‐based scoring of cellular response to stimuli for improved characterization of signaling pathway activity. PROTEOMICS. 23(5). e2200275–e2200275. 10 indexed citations
11.
Lipatova, Anastasiya V., Vladimir Gorshkov, Julia A. Bubis, et al.. (2021). Multi-Omics Analysis of Glioblastoma Cells’ Sensitivity to Oncolytic Viruses. Cancers. 13(21). 5268–5268. 19 indexed citations
12.
Bubis, Julia A., et al.. (2021). Biosaur: An open‐source Python software for liquid chromatography–mass spectrometry peptide feature detection with ion mobility support. Rapid Communications in Mass Spectrometry. 39(S1). e9045–e9045. 22 indexed citations
13.
Kuznetsova, Ksenia G., Lev I. Levitsky, Mikhail A. Pyatnitskiy, et al.. (2020). Cysteine alkylation methods in shotgun proteomics and their possible effects on methionine residues. Journal of Proteomics. 231. 104022–104022. 17 indexed citations
14.
Bubis, Julia A., Vladimir Gorshkov, Frank Kjeldsen, et al.. (2020). Rpn4 and proteasome-mediated yeast resistance to ethanol includes regulation of autophagy. Applied Microbiology and Biotechnology. 104(9). 4027–4041. 14 indexed citations
15.
Bubis, Julia A., Vladimir Gorshkov, Mikhail V. Gorshkov, & Frank Kjeldsen. (2020). PhosphoShield: Improving Trypsin Digestion of Phosphoproteins by Shielding the Negatively Charged Phosphate Moiety. Journal of the American Society for Mass Spectrometry. 31(10). 2053–2060. 10 indexed citations
16.
Ivanov, Mark V., Julia A. Bubis, Vladimir Gorshkov, et al.. (2020). DirectMS1: MS/MS-Free Identification of 1000 Proteins of Cellular Proteomes in 5 Minutes. Analytical Chemistry. 92(6). 4326–4333. 32 indexed citations
17.
Gorshkov, Vladimir, Julia A. Bubis, Elizaveta M. Solovyeva, Mikhail V. Gorshkov, & Frank Kjeldsen. (2019). Protein corona formed on silver nanoparticles in blood plasma is highly selective and resistant to physicochemical changes of the solution. Environmental Science Nano. 6(4). 1089–1098. 55 indexed citations
18.
Bubis, Julia A., Lev I. Levitsky, Mark V. Ivanov, & Mikhail V. Gorshkov. (2018). Validation of Peptide Identification Results in Proteomics Using Amino Acid Counting. PROTEOMICS. 18(23). e1800117–e1800117. 6 indexed citations
19.
Ivanov, Mark V., Lev I. Levitsky, Julia A. Bubis, & Mikhail V. Gorshkov. (2018). Scavager: A Versatile Postsearch Validation Algorithm for Shotgun Proteomics Based on Gradient Boosting. PROTEOMICS. 19(3). e1800280–e1800280. 35 indexed citations
20.
Ivanov, Mark V., Irina A. Tarasova, Lev I. Levitsky, et al.. (2017). MS/MS-Free Protein Identification in Complex Mixtures Using Multiple Enzymes with Complementary Specificity. Journal of Proteome Research. 16(11). 3989–3999. 17 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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