Iulia M. Lazar

2.0k total citations
61 papers, 1.5k citations indexed

About

Iulia M. Lazar is a scholar working on Spectroscopy, Molecular Biology and Biomedical Engineering. According to data from OpenAlex, Iulia M. Lazar has authored 61 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Spectroscopy, 28 papers in Molecular Biology and 27 papers in Biomedical Engineering. Recurrent topics in Iulia M. Lazar's work include Mass Spectrometry Techniques and Applications (36 papers), Microfluidic and Capillary Electrophoresis Applications (25 papers) and Advanced Proteomics Techniques and Applications (24 papers). Iulia M. Lazar is often cited by papers focused on Mass Spectrometry Techniques and Applications (36 papers), Microfluidic and Capillary Electrophoresis Applications (25 papers) and Advanced Proteomics Techniques and Applications (24 papers). Iulia M. Lazar collaborates with scholars based in United States and Czechia. Iulia M. Lazar's co-authors include Barry L. Karger, Roswitha S. Ramsey, J. Michael Ramsey, Milton L. Lee, Alexandru C. Lazar, Jan Grym, František Foret, Edgar D. Lee, Yang Xu and Alan L. Rockwood and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and PLoS ONE.

In The Last Decade

Iulia M. Lazar

60 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Iulia M. Lazar United States 20 829 704 513 158 76 61 1.5k
Marta Sans United States 12 192 0.2× 474 0.7× 442 0.9× 38 0.2× 58 0.8× 19 902
Kiyohito Shimura Japan 18 768 0.9× 259 0.4× 527 1.0× 112 0.7× 16 0.2× 57 1.1k
Andrey Lisitsa Russia 19 138 0.2× 249 0.4× 730 1.4× 77 0.5× 62 0.8× 101 1.0k
Chu‐Bo Qi China 24 347 0.4× 207 0.3× 1.0k 2.0× 78 0.5× 239 3.1× 42 1.4k
Khushman Taunk India 14 351 0.4× 226 0.3× 386 0.8× 101 0.6× 84 1.1× 33 733
Hossein Salimi-Moosavi United States 19 673 0.8× 205 0.3× 571 1.1× 158 1.0× 14 0.2× 32 1.5k
Wendong Chen China 16 128 0.2× 443 0.6× 470 0.9× 18 0.1× 58 0.8× 43 802
Gargi Choudhary United States 12 402 0.5× 570 0.8× 285 0.6× 17 0.1× 12 0.2× 14 763
H. Ozaki Japan 13 633 0.8× 474 0.7× 122 0.2× 214 1.4× 16 0.2× 44 1.1k
Colin J. H. Brenan United States 13 312 0.4× 61 0.1× 472 0.9× 60 0.4× 129 1.7× 35 937

Countries citing papers authored by Iulia M. Lazar

Since Specialization
Citations

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

Fields of papers citing papers by Iulia M. Lazar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Iulia M. Lazar. 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 Iulia M. Lazar. The network helps show where Iulia M. Lazar may publish in the future.

Co-authorship network of co-authors of Iulia M. Lazar

This figure shows the co-authorship network connecting the top 25 collaborators of Iulia M. Lazar. A scholar is included among the top collaborators of Iulia M. Lazar 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 Iulia M. Lazar. Iulia M. Lazar 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.
Lazar, Iulia M., et al.. (2024). Proteomic insights into breast cancer response to brain cell-secreted factors. Scientific Reports. 14(1). 19351–19351. 2 indexed citations
2.
Lazar, Iulia M., et al.. (2024). Proteomic assessment of SKBR3/HER2+ breast cancer cellular response to Lapatinib and investigational Ipatasertib kinase inhibitors. Frontiers in Pharmacology. 15. 1413818–1413818. 2 indexed citations
3.
Lazar, Iulia M., et al.. (2022). Mapping the cell-membrane proteome of the SKBR3/HER2+ cell line to the cancer hallmarks. PLoS ONE. 17(8). e0272384–e0272384. 4 indexed citations
4.
Lazar, Iulia M., et al.. (2021). Systems-Level Proteomics Evaluation of Microglia Response to Tumor-Supportive Anti-Inflammatory Cytokines. Frontiers in Immunology. 12. 646043–646043. 15 indexed citations
5.
Xiong, Wen, et al.. (2019). Preferential phosphatidylinositol 5-phosphate binding contributes to a destabilization of the VHS domain structure of Tom1. Scientific Reports. 9(1). 10868–10868. 5 indexed citations
6.
Lazar, Iulia M., et al.. (2019). Microfluidic reactors for advancing the MS analysis of fast biological responses. Microsystems & Nanoengineering. 5(1). 7–7. 10 indexed citations
7.
Smith, Nicole A., et al.. (2018). Streamlined microfluidic analysis of phosphopeptides using stable isotope‐labeled synthetic peptides and MRM‐MS detection. Electrophoresis. 39(24). 3171–3184. 3 indexed citations
8.
Lazar, Iulia M.. (2018). Achieving Stable Electrospray Ionization Mass Spectrometry Detection from Microfluidic Chips. Methods in molecular biology. 1906. 225–237. 2 indexed citations
9.
Lazar, Iulia M., Maria Kontoyianni, & Alexandru C. Lazar. (2017). Proteomics for Drug Discovery. Methods in molecular biology. 13 indexed citations
10.
Babiceanu, Mihaela, Fujun Qin, Zhongqiu Xie, et al.. (2016). Recurrent chimeric fusion RNAs in non-cancer tissues and cells. Nucleic Acids Research. 44(6). 2859–2872. 124 indexed citations
11.
Lazar, Iulia M., et al.. (2016). Fast Enzymatic Processing of Proteins for MS Detection with a Flow-through Microreactor. Journal of Visualized Experiments. e53564–e53564. 1 indexed citations
12.
Cortes, Diego Fernando Marmolejo, et al.. (2016). Nanoflow valve for the removal of trapped air in microfluidic structures. Sensors and Actuators B Chemical. 243. 650–657. 2 indexed citations
13.
Lazar, Iulia M., et al.. (2016). Insulin stimulated MCF7 breast cancer cells: Proteome dataset. Data in Brief. 9. 579–584. 5 indexed citations
14.
Xu, Yang & Iulia M. Lazar. (2014). XMAn: A Homo sapiens Mutated-Peptide Database for the MS Analysis of Cancerous Cell States. Journal of Proteome Research. 13(12). 5486–5495. 19 indexed citations
15.
Lazar, Iulia M., et al.. (2013). Microfluidic LC device with orthogonal sample extraction for on-chip MALDI-MS detection. Lab on a Chip. 13(11). 2055–2065. 22 indexed citations
16.
Lazar, Iulia M., et al.. (2012). Proteomic snapshot of breast cancer cell cycle: G 1/ S transition point. PROTEOMICS. 13(1). 48–60. 16 indexed citations
17.
Lazar, Iulia M.. (2009). Recent advances in capillary and microfluidic platforms with MS detection for the analysis of phosphoproteins. Electrophoresis. 30(1). 262–275. 11 indexed citations
18.
Armenta, Jenny M., Ina Hoeschele, & Iulia M. Lazar. (2009). Differential protein expression analysis using stable isotope labeling and PQD linear ion trap MS technology. Journal of the American Society for Mass Spectrometry. 20(7). 1287–1302. 24 indexed citations
19.
Lazar, Iulia M., Jan Grym, & František Foret. (2006). Microfabricated devices: A new sample introduction approach to mass spectrometry. Mass Spectrometry Reviews. 25(4). 573–594. 99 indexed citations
20.
Li, Wenbao, Iulia M. Lazar, Yanjian Wan, et al.. (1997). Determination of Volatile Hydrocarbons in Coals and Shales Using Supercritical Fluid Extraction and Chromatography. Energy & Fuels. 11(5). 945–950. 10 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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