Wade Hines

1.0k total citations
16 papers, 742 citations indexed

About

Wade Hines is a scholar working on Molecular Biology, Spectroscopy and Pharmacology. According to data from OpenAlex, Wade Hines has authored 16 papers receiving a total of 742 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 9 papers in Spectroscopy and 2 papers in Pharmacology. Recurrent topics in Wade Hines's work include Advanced Proteomics Techniques and Applications (8 papers), Mass Spectrometry Techniques and Applications (7 papers) and Metabolomics and Mass Spectrometry Studies (5 papers). Wade Hines is often cited by papers focused on Advanced Proteomics Techniques and Applications (8 papers), Mass Spectrometry Techniques and Applications (7 papers) and Metabolomics and Mass Spectrometry Studies (5 papers). Wade Hines collaborates with scholars based in United States, Netherlands and Sweden. Wade Hines's co-authors include Arnold M. Falick, Bradford W. Gibson, Katalin F. Medzihradszky, M. A. Baldwin, Alma L. Burlingame, Dale H. Patterson, Constance M. John, Stephen A. Martin, Péter Juhász and R.J. Fletterick and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and PLoS ONE.

In The Last Decade

Wade Hines

16 papers receiving 709 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Wade Hines United States	13	510	373	64	36	34	16	742
William A. LaMarr United States	19	431 0.8×	236 0.6×	26 0.4×	73 2.0×	45 1.3×	27	794
Ricardo Esquer‐Blasco United States	7	495 1.0×	361 1.0×	13 0.2×	63 1.8×	24 0.7×	8	750
Saša Končarević Germany	15	470 0.9×	153 0.4×	35 0.5×	31 0.9×	17 0.5×	20	819
Axel Lezius Germany	20	990 1.9×	235 0.6×	62 1.0×	67 1.9×	93 2.7×	37	1.2k
Joo-Heon Park South Korea	10	431 0.8×	272 0.7×	114 1.8×	48 1.3×	44 1.3×	30	755
Joanne Charlwood United Kingdom	17	628 1.2×	213 0.6×	28 0.4×	45 1.3×	65 1.9×	30	842
Louis P. Conway China	17	461 0.9×	104 0.3×	31 0.5×	71 2.0×	23 0.7×	38	596
Ekaterina V. Poverennaya Russia	12	543 1.1×	137 0.4×	19 0.3×	64 1.8×	32 0.9×	54	818
Mirko Glinski Germany	16	527 1.0×	235 0.6×	17 0.3×	38 1.1×	19 0.6×	22	770
Leah M. Miller United States	13	657 1.3×	336 0.9×	17 0.3×	26 0.7×	24 0.7×	16	892

Countries citing papers authored by Wade Hines

Since Specialization

Citations

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

Fields of papers citing papers by Wade Hines

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wade Hines

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

All Works

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16 of 16 papers shown

Markvoort, Albert J., Harish Dharuri, Marieke Snel, et al.. (2014). Proteomic Analysis in Type 2 Diabetes Patients before and after a Very Low Calorie Diet Reveals Potential Disease State and Intervention Specific Biomarkers. PLoS ONE. 9(11). e112835–e112835. 18 indexed citations

Chang, Ching‐Wei, Frederick A. Beland, Wade Hines, et al.. (2011). Identification and Categorization of Liver Toxicity Markers Induced by a Related Pair of Drugs. International Journal of Molecular Sciences. 12(7). 4609–4624. 7 indexed citations

Juhász, Péter, Mahadevan Sethuraman, J. M. Campbell, et al.. (2010). Semi-Targeted Plasma Proteomics Discovery Workflow Utilizing Two-Stage Protein Depletion and Off-Line LC−MALDI MS/MS. Journal of Proteome Research. 10(1). 34–45. 19 indexed citations

Sun, Jinchun, Linda S. Von Tungeln, Wade Hines, & Richard D. Beger. (2009). Identification of metabolite profiles of the catechol-O-methyl transferase inhibitor tolcapone in rat urine using LC/MS-based metabonomics analysis. Journal of Chromatography B. 877(24). 2557–2565. 29 indexed citations

Adourian, Aram, Ezra G. Jennings, Raji Balasubramanian, et al.. (2008). Correlation network analysis for data integration and biomarker selection. Molecular BioSystems. 4(3). 249–259. 41 indexed citations

Zhang, Xiang, Wade Hines, Jiří Adamec, et al.. (2005). An automated method for the analysis of stable isotope labeling data in proteomics. Journal of the American Society for Mass Spectrometry. 16(7). 1181–1191. 36 indexed citations

Parker, Kenneth C., et al.. (1998). Identification of yeast proteins from two‐dimensional gels: Working out spot cross‐contamination. Electrophoresis. 19(11). 1920–1932. 71 indexed citations

Takach, Edward J., Wade Hines, Dale H. Patterson, et al.. (1997). Accurate Mass Measurements Using MALDI-TOF with Delayed Extraction. Journal of Protein Chemistry. 16(5). 363–369. 60 indexed citations

Loo, Rachel R. Ogorzalek, Charles Mitchell, Tracy I. Stevenson, et al.. (1997). Sensitivity and mass accuracy for proteins analyzed directly from polyacrylamide gels: Implications for proteome mapping. Electrophoresis. 18(3-4). 382–390. 44 indexed citations

10.

Gibson, Bradford W., et al.. (1997). Characterization of bacterial lipooligosaccharides by delayed extraction matrix-assisted laser desorption ionization time-of-flight mass spectrometry. Journal of the American Society for Mass Spectrometry. 8(6). 645–658. 72 indexed citations

11.

Mu, David, Katalin F. Medzihradszky, G. W. Adams, et al.. (1994). Primary structures for a mammalian cellular and serum copper amine oxidase. Journal of Biological Chemistry. 269(13). 9926–9932. 87 indexed citations

12.

Gibson, Bradford W., et al.. (1994). Mass spectrometric characterization of a series of adenosylated peptides acting as bisubstrate analogs of protein kinases. Journal of the American Society for Mass Spectrometry. 5(5). 443–451. 4 indexed citations

13.

Falick, Arnold M., Wade Hines, Katalin F. Medzihradszky, M. A. Baldwin, & Bradford W. Gibson. (1993). Low-mass ions produced from peptides by high-energy collision-induced dissociation in tandem mass spectrometry. Journal of the American Society for Mass Spectrometry. 4(11). 882–893. 143 indexed citations

14.

Hines, Wade, Arnold M. Falick, Alma L. Burlingame, & Bradford W. Gibson. (1992). Pattern-based algorithm for peptide sequencing from tandem high energy collision-induced dissociation mass spectra. Journal of the American Society for Mass Spectrometry. 3(4). 326–336. 54 indexed citations

15.

McGrath, Marisa E., Wade Hines, Judy A. Sakanari, R.J. Fletterick, & Charles S. Craik. (1991). The sequence and reactive site of ecotin. A general inhibitor of pancreatic serine proteases from Escherichia coli.. Journal of Biological Chemistry. 266(10). 6620–6625. 55 indexed citations

16.

Gibson, Bradford W., et al.. (1990). Enzymatic synthesis of phosphotyrosine-containing peptides via adenylated intermediates. Journal of the American Chemical Society. 112(23). 8523–8528. 2 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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