Maciek Sasinowski

707 total citations
23 papers, 543 citations indexed

About

Maciek Sasinowski is a scholar working on Molecular Biology, Spectroscopy and Surgery. According to data from OpenAlex, Maciek Sasinowski has authored 23 papers receiving a total of 543 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 6 papers in Spectroscopy and 3 papers in Surgery. Recurrent topics in Maciek Sasinowski's work include Mass Spectrometry Techniques and Applications (6 papers), Metabolomics and Mass Spectrometry Studies (4 papers) and Advanced Proteomics Techniques and Applications (4 papers). Maciek Sasinowski is often cited by papers focused on Mass Spectrometry Techniques and Applications (6 papers), Metabolomics and Mass Spectrometry Studies (4 papers) and Advanced Proteomics Techniques and Applications (4 papers). Maciek Sasinowski collaborates with scholars based in United States, Germany and Japan. Maciek Sasinowski's co-authors include Ralph A. Dean, Dariya Malyarenko, Allen H. Boozer, Rod A. Wing, Todd Wood, Muhammad A. Budiman, Jeff Tomkins, David Frisch, Steve Goff and Long Mao and has published in prestigious journals such as PLoS ONE, Genome Research and Clinical Chemistry.

In The Last Decade

Maciek Sasinowski

22 papers receiving 524 citations

Peers

Maciek Sasinowski
Jingfen Zhang China
Hesam Dashti United States
Diane Richter United States
Adèle Bourmaud Luxembourg
Antonino Biroccio Italy
Clément Frainay France
Sílvia O. Diaz Portugal
Swapnoleena Sen India
Janina Oetjen Germany
Noriko Ando Japan
Jingfen Zhang China
Maciek Sasinowski
Citations per year, relative to Maciek Sasinowski Maciek Sasinowski (= 1×) peers Jingfen Zhang

Countries citing papers authored by Maciek Sasinowski

Since Specialization
Citations

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

Fields of papers citing papers by Maciek Sasinowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maciek Sasinowski

This figure shows the co-authorship network connecting the top 25 collaborators of Maciek Sasinowski. A scholar is included among the top collaborators of Maciek Sasinowski 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 Maciek Sasinowski. Maciek Sasinowski 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.
Mountcastle, Sally B., et al.. (2019). Validation of an administrative claims coding algorithm for serious opioid overdose: A medical chart review. Pharmacoepidemiology and Drug Safety. 28(10). 1422–1428. 8 indexed citations
2.
Thompson, Steven, Stephen A. Varvel, Maciek Sasinowski, & J. P. Burke. (2016). From Value Assessment to Value Cocreation: Informing Clinical Decision-Making with Medical Claims Data. Big Data. 4(3). 141–147. 7 indexed citations
3.
Neely, Benjamin A., Laura A. Marlow, Dariya Malyarenko, et al.. (2016). Proteotranscriptomic Analysis Reveals Stage Specific Changes in the Molecular Landscape of Clear-Cell Renal Cell Carcinoma. PLoS ONE. 11(4). e0154074–e0154074. 39 indexed citations
4.
Pottala, James V., Maciek Sasinowski, Thomas Dayspring, et al.. (2015). Comparison of cardiometabolic risk biomarkers from a national clinical laboratory with the US adult population. Journal of clinical lipidology. 9(6). 817–823. 8 indexed citations
5.
Varvel, Stephen A., Szilárd Vörös, Dawn L. Thiselton, et al.. (2015). Familial Hypercholesterolemia Prevalence of 1.5% in a Clinical Database of 542,214 Patients: Refined Risk Stratification Using ApoB:LDL-C Ratio. Journal of clinical lipidology. 9(3). 414–414. 1 indexed citations
6.
Varvel, Stephen A., Szilárd Vörös, Dawn L. Thiselton, et al.. (2014). Comprehensive Biomarker Testing of Glycemia, Insulin Resistance, and Beta Cell Function Has Greater Sensitivity to Detect Diabetes Risk Than Fasting Glucose and HbA1c and Is Associated with Improved Glycemic Control in Clinical Practice. Journal of Cardiovascular Translational Research. 7(6). 597–606. 13 indexed citations
7.
Varvel, Stephen A., Thomas Dayspring, Dawn L. Thiselton, et al.. (2014). Discordance between apolipoprotein B and low-density lipoprotein particle number is associated with insulin resistance in clinical practice. Journal of clinical lipidology. 9(2). 247–255. 19 indexed citations
8.
Varvel, Stephen A., James V. Pottala, Dawn L. Thiselton, et al.. (2014). Serum α-hydroxybutyrate (α-HB) predicts elevated 1 h glucose levels and early-phase β-cell dysfunction during OGTT. BMJ Open Diabetes Research & Care. 2(1). e000038–e000038. 27 indexed citations
9.
Roemeling, Christina A. Von, Laura A. Marlow, Derek C. Radisky, et al.. (2014). Functional genomics identifies novel genes essential for clear cell renal cell carcinoma tumor cell proliferation and migration. Oncotarget. 5(14). 5320–5334. 18 indexed citations
10.
Tracy, Maureen B., Haijian Chen, Dariya Malyarenko, et al.. (2008). Precision enhancement of MALDI‐TOF MS using high resolution peak detection and label‐free alignment. PROTEOMICS. 8(8). 1530–1538. 24 indexed citations
11.
Malyarenko, Dariya, William E. Cooke, E. R. Tracy, et al.. (2006). Deconvolution filters to enhance resolution of dense time‐of‐flight survey spectra in the time‐lag optimization range. Rapid Communications in Mass Spectrometry. 20(11). 1661–1669. 7 indexed citations
12.
Malyarenko, Dariya, William E. Cooke, E. R. Tracy, et al.. (2006). Resampling and deconvolution of linear time‐of‐flight records for enhanced protein profiling. Rapid Communications in Mass Spectrometry. 20(11). 1670–1678. 9 indexed citations
13.
Lin, Simon, et al.. (2005). What is mzXML good for?. Expert Review of Proteomics. 2(6). 839–845. 41 indexed citations
14.
Malyarenko, Dariya, E. R. Tracy, W. E. Cooke, et al.. (2004). Ga+ TOF-SIMS lineshape analysis for resolution enhancement of MALDI MS spectra of a peptide mixture. Applied Surface Science. 231-232. 357–361.
15.
Malyarenko, Dariya, William E. Cooke, Bao-Ling Adam, et al.. (2004). Enhancement of Sensitivity and Resolution of Surface-Enhanced Laser Desorption/Ionization Time-of-Flight Mass Spectrometric Records for Serum Peptides Using Time-Series Analysis Techniques. Clinical Chemistry. 51(1). 65–74. 78 indexed citations
16.
Mao, Long, Todd Wood, Yeisoo Yu, et al.. (2000). Rice Transposable Elements: A Survey of 73,000 Sequence-Tagged-Connectors. Genome Research. 10(7). 982–990. 159 indexed citations
17.
Sasinowski, Maciek, Sangdun Choi, Matthew F. Verce, et al.. (1999). Physical Map and Gene Survey of the Ochrobactrum anthropi Genome Using Bacterial Artificial Chromosome Contigs. PubMed. 4(3). 203–217. 7 indexed citations
18.
Zhu, Heng, Barbara P Blackmon, Maciek Sasinowski, & Ralph A. Dean. (1999). Physical Map and Organization of Chromosome 7 in the Rice Blast Fungus, Magnaporthe grisea. Genome Research. 9(8). 739–750. 24 indexed citations
19.
Sasinowski, Maciek, et al.. (1999). An algorithm for the assembly of robust physical maps based on a combination of multi-level hybridization data and fingerprinting data. Computers & Chemistry. 23(3-4). 251–262. 3 indexed citations
20.
Sasinowski, Maciek & Allen H. Boozer. (1997). A δf Monte Carlo method to calculate plasma parameters. Physics of Plasmas. 4(10). 3509–3517. 9 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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