Eva Golenko

410 total citations
9 papers, 334 citations indexed

About

Eva Golenko is a scholar working on Molecular Biology, Spectroscopy and Computational Theory and Mathematics. According to data from OpenAlex, Eva Golenko has authored 9 papers receiving a total of 334 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Spectroscopy and 1 paper in Computational Theory and Mathematics. Recurrent topics in Eva Golenko's work include Advanced Proteomics Techniques and Applications (6 papers), Advanced Biosensing Techniques and Applications (2 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). Eva Golenko is often cited by papers focused on Advanced Proteomics Techniques and Applications (6 papers), Advanced Biosensing Techniques and Applications (2 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). Eva Golenko collaborates with scholars based in United States and Germany. Eva Golenko's co-authors include Alvydas Mikulskis, Wayne F. Patton, Mary F. Lopez, Gordon Whiteley, Scott Kuzdzal, Christopher J. Lynch, J. L. DiCesare, Eric Denoyer, Susan M. Kramer and Michael R. Wall and has published in prestigious journals such as Journal of Chromatography A, Clinical Chemistry and PROTEOMICS.

In The Last Decade

Eva Golenko

9 papers receiving 325 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Eva Golenko United States	6	232	196	37	33	23	9	334
Luisa Beltran United Kingdom	10	189 0.8×	135 0.7×	9 0.2×	27 0.8×	12 0.5×	13	411
Monica M. Schroll United States	8	188 0.8×	112 0.6×	20 0.5×	23 0.7×	37 1.6×	15	296
Paul E. Oran United States	12	234 1.0×	166 0.8×	11 0.3×	18 0.5×	12 0.5×	12	381
Jeremy Ford United Kingdom	8	118 0.5×	104 0.5×	11 0.3×	18 0.5×	53 2.3×	11	246
Hui-Yin Chang Taiwan	8	172 0.7×	88 0.4×	22 0.6×	10 0.3×	25 1.1×	13	239
Jiyoung Yu South Korea	10	185 0.8×	74 0.4×	15 0.4×	12 0.4×	49 2.1×	25	332
Bruno Hansen Denmark	13	252 1.1×	99 0.5×	30 0.8×	66 2.0×	20 0.9×	19	444
Lisa Schweizer Germany	7	208 0.9×	177 0.9×	30 0.8×	5 0.2×	24 1.0×	12	329
Shisheng Wang China	10	210 0.9×	84 0.4×	15 0.4×	16 0.5×	27 1.2×	21	305
Kwadwo Owusu-Sarfo United States	5	328 1.4×	97 0.5×	29 0.8×	25 0.8×	155 6.7×	7	368

Countries citing papers authored by Eva Golenko

Since Specialization

Citations

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

Fields of papers citing papers by Eva Golenko

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eva Golenko

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

All Works

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9 of 9 papers shown

Harvey, Linda J., Paul Russo, Richard G. Saul, et al.. (2007). Proteomic patterns for classification of ovarian cancer and CTCL serum samples utilizing peak pairs indicative of post‐translational modifications. PROTEOMICS. 7(22). 4045–4052. 14 indexed citations

Panchagnula, Venkateswarlu, Alvydas Mikulskis, Linan Song, et al.. (2007). Phosphopeptide analysis by directly coupling two-dimensional planar electrochromatography/thin-layer chromatography with matrix-assisted laser desorption/ionization time-of-flight mass spectrometry. Journal of Chromatography A. 1155(1). 112–123. 35 indexed citations

Lopez, Mary F., Alvydas Mikulskis, Scott Kuzdzal, et al.. (2007). A Novel, High-Throughput Workflow for Discovery and Identification of Serum Carrier Protein-Bound Peptide Biomarker Candidates in Ovarian Cancer Samples. Clinical Chemistry. 53(6). 1067–1074. 96 indexed citations

Scrivener, Elaine, Eva Golenko, A. V. Bogdanova, et al.. (2005). Performance validation of an improved Xenon‐arc lamp‐based CCD camera system for multispectral imaging in proteomics. PROTEOMICS. 5(17). 4354–4366. 5 indexed citations

Lopez, Mary F., Alvydas Mikulskis, Scott Kuzdzal, et al.. (2005). High-Resolution Serum Proteomic Profiling of Alzheimer Disease Samples Reveals Disease-Specific, Carrier-Protein–Bound Mass Signatures. Clinical Chemistry. 51(10). 1946–1954. 116 indexed citations

Khimani, Anis H., Abner M. Mhashilkar, Alvydas Mikulskis, et al.. (2005). Housekeeping Genes in Cancer: Normalization of Array Data. BioTechniques. 38(5). 739–745. 51 indexed citations

Kuzdzal, Scott, Mary F. Lopez, Alvydas Mikulskis, et al.. (2005). Biomarker Discovery and Analysis Platform: Application to Alzheimer’s Disease. BioTechniques. 39(4). 606–607. 2 indexed citations

Lopez, Mary F., Alvydas Mikulskis, Eva Golenko, et al.. (2004). Microscale fractionation facilitates detection of differentially expressed proteins in Alzheimer's disease brain samples. Electrophoresis. 25(15). 2557–2563. 5 indexed citations

Lopez, Mary F., Alvydas Mikulskis, Eva Golenko, et al.. (2003). High‐content proteomics: Fluorescence multiplexing using an integrated, high‐sensitivity, multiwavelength charge‐coupled device imaging system. PROTEOMICS. 3(7). 1109–1116. 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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