Natali Kolker

915 total citations
27 papers, 576 citations indexed

About

Natali Kolker is a scholar working on Molecular Biology, Spectroscopy and Genetics. According to data from OpenAlex, Natali Kolker has authored 27 papers receiving a total of 576 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 11 papers in Spectroscopy and 3 papers in Genetics. Recurrent topics in Natali Kolker's work include Advanced Proteomics Techniques and Applications (11 papers), Bioinformatics and Genomic Networks (9 papers) and Mass Spectrometry Techniques and Applications (7 papers). Natali Kolker is often cited by papers focused on Advanced Proteomics Techniques and Applications (11 papers), Bioinformatics and Genomic Networks (9 papers) and Mass Spectrometry Techniques and Applications (7 papers). Natali Kolker collaborates with scholars based in United States, Australia and United Kingdom. Natali Kolker's co-authors include Eugene Kolker, Roger Higdon, William Broomall, Larissa Stanberry, Winston Haynes, Samuel Purvine, Gerald van Belle, Doron Lancet, Elizabeth Stewart and Jason M. Hogan and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and Journal of Proteome Research.

In The Last Decade

Natali Kolker

27 papers receiving 557 citations

Peers

Natali Kolker

SPECT

GENET

EPIDE

William Broomall United States

Jörg Ackermann Germany

Marta Iannuccelli Italy

Michael R. Mehan United States

Peter V. Treit Germany

Italo Zoppis Italy

Minjie Mou China

Sabry Razick Norway

Bijay Jassal United Kingdom

Phani Garapati United Kingdom

William Broomall United States

Natali Kolker

217 ×0.6

49 ×0.3

SPECT

50 ×0.8

GENET

26 ×0.7

18 ×0.7

EPIDE

Citations per year, relative to Natali Kolker Natali Kolker (= 1×) peers William Broomall

Countries citing papers authored by Natali Kolker

Since Specialization

Citations

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

Fields of papers citing papers by Natali Kolker

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Natali Kolker

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

All Works

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20 of 20 papers shown

Higdon, Roger, Manveen K. Sethi, Liang Lin, et al.. (2017). Integrated Proteomic and Transcriptomic-Based Approaches to Identifying Signature Biomarkers and Pathways for Elucidation of Daoy and UW228 Subtypes. Proteomes. 5(1). 5–5. 21 indexed citations

Griffin, Matt, Winston Haynes, Roger Higdon, et al.. (2016). A Case Study: Analyzing City Vitality with Four Pillars of Activity— Live , Work , Shop , and Play. Big Data. 4(1). 60–66. 7 indexed citations

Higdon, Roger, Rachel K. Earl, Larissa Stanberry, et al.. (2015). The Promise of Multi-Omics and Clinical Data Integration to Identify and Target Personalized Healthcare Approaches in Autism Spectrum Disorders. OMICS A Journal of Integrative Biology. 19(4). 197–208. 71 indexed citations

Kolker, Eugene, Roger Higdon, Elizabeth Stewart, et al.. (2015). Finding Text-Supported Gene-to-Disease Co-appearances with MOPED-Digger. OMICS A Journal of Integrative Biology. 19(12). 754–756. 3 indexed citations

Morgan, Philip G., Roger Higdon, Natali Kolker, et al.. (2014). Comparison of proteomic and metabolomic profiles of mutants of the mitochondrial respiratory chain in Caenorhabditis elegans. Mitochondrion. 20. 95–102. 19 indexed citations

Stanberry, Larissa, Elaine Lee, Elizabeth Stewart, et al.. (2014). Beyond protein expression, MOPED goes multi-omics. Nucleic Acids Research. 43(D1). D1145–D1151. 15 indexed citations

Stanberry, Larissa, Roger Higdon, Elaine Lee, et al.. (2014). MOPED 2.5—An Integrated Multi-Omics Resource: Multi-Omics Profiling Expression Database Now Includes Transcriptomics Data. OMICS A Journal of Integrative Biology. 18(6). 335–343. 44 indexed citations

Higdon, Roger, Elizabeth Stewart, Jared C. Roach, et al.. (2013). Predictive Analytics In Healthcare: Medications as a Predictor of Medical Complexity. Big Data. 1(4). 237–244. 12 indexed citations

Higdon, Roger, Larissa Stanberry, Winston Haynes, et al.. (2013). MOPED Enables Discoveries through Consistently Processed Proteomics Data. Journal of Proteome Research. 13(1). 107–113. 17 indexed citations

10.

Higdon, Roger, Winston Haynes, Larissa Stanberry, et al.. (2012). Unraveling the Complexities of Life Sciences Data. Big Data. 1(1). 42–50. 34 indexed citations

11.

Kolker, Eugene, Roger Higdon, Winston Haynes, et al.. (2011). MOPED: Model Organism Protein Expression Database. Nucleic Acids Research. 40(D1). D1093–D1099. 96 indexed citations

12.

Kolker, Eugene, et al.. (2011). SPIRE: Systematic protein investigative research environment. Journal of Proteomics. 75(1). 122–126. 24 indexed citations

13.

Higdon, Roger, Lukas Reiter, Winston Haynes, et al.. (2011). IPM: An integrated protein model for false discovery rate estimation and identification in high-throughput proteomics. Journal of Proteomics. 75(1). 116–121. 10 indexed citations

14.

Haynes, Winston, Roger Higdon, Natali Kolker, et al.. (2010). The United States of America and Scientific Research. PLoS ONE. 5(8). e12203–e12203. 45 indexed citations

15.

Kolker, Eugene, Jason M. Hogan, Roger Higdon, et al.. (2007). Development of BIATECH‐54 standard mixtures for assessment of protein identification and relative expression. PROTEOMICS. 7(20). 3693–3698. 11 indexed citations

16.

Higdon, Roger, Jason M. Hogan, Natali Kolker, Gerald van Belle, & Eugene Kolker. (2007). Experiment-Specific Estimation of Peptide Identification Probabilities Using a Randomized Database. OMICS A Journal of Integrative Biology. 11(4). 351–366. 19 indexed citations

17.

Mork, Peter, et al.. (2005). Integration of data for gene annotation using the BioMediator system.. PubMed. 1036–1036. 2 indexed citations

18.

Higdon, Roger, et al.. (2004). LIP Index for Peptide Classification Using MS/MS and SEQUEST Search via Logistic Regression. OMICS A Journal of Integrative Biology. 8(4). 357–369. 26 indexed citations

19.

Purvine, Samuel, Natali Kolker, & Eugene Kolker. (2004). Spectral Quality Assessment for High-Throughput Tandem Mass Spectrometry Proteomics. OMICS A Journal of Integrative Biology. 8(3). 255–265. 47 indexed citations

20.

Nickerson, Deborah A., Natali Kolker, Scott L. Taylor, & Mark J. Rieder. (2003). Sequence-Based Detection of Single Nucleotide Polymorphisms. Humana Press eBooks. 175. 29–35. 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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