Gordon Whiteley

2.3k total citations
37 papers, 1.0k citations indexed

About

Gordon Whiteley is a scholar working on Molecular Biology, Spectroscopy and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Gordon Whiteley has authored 37 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 18 papers in Spectroscopy and 8 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Gordon Whiteley's work include Advanced Proteomics Techniques and Applications (18 papers), Advanced Biosensing Techniques and Applications (8 papers) and Monoclonal and Polyclonal Antibodies Research (8 papers). Gordon Whiteley is often cited by papers focused on Advanced Proteomics Techniques and Applications (18 papers), Advanced Biosensing Techniques and Applications (8 papers) and Monoclonal and Polyclonal Antibodies Research (8 papers). Gordon Whiteley collaborates with scholars based in United States, Canada and South Africa. Gordon Whiteley's co-authors include Lance A. Liotta, Emanuel F. Petricoin, Christina M. Annunziata, Nilofer S. Azad, Elise C. Kohn, Sally Ross, J L Penner, N A Hinton, Donald J. Johann and J N Hennessy and has published in prestigious journals such as PLoS ONE, Cancer Research and International Journal of Molecular Sciences.

In The Last Decade

Gordon Whiteley

37 papers receiving 967 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gordon Whiteley United States 17 632 411 128 108 86 37 1.0k
Richard Fagan United States 9 745 1.2× 416 1.0× 101 0.8× 75 0.7× 77 0.9× 14 1.1k
Gunjan Malik United States 15 620 1.0× 383 0.9× 144 1.1× 69 0.6× 150 1.7× 34 1.0k
Song Nie United States 21 929 1.5× 518 1.3× 174 1.4× 74 0.7× 131 1.5× 43 1.3k
J. Alex United States 7 585 0.9× 472 1.1× 86 0.7× 57 0.5× 135 1.6× 9 946
Sergei A. Moshkovskii Russia 21 972 1.5× 424 1.0× 139 1.1× 52 0.5× 123 1.4× 91 1.4k
Harald Tammen Germany 17 825 1.3× 751 1.8× 205 1.6× 83 0.8× 102 1.2× 37 1.5k
Angela Jackson Canada 18 968 1.5× 888 2.2× 97 0.8× 107 1.0× 72 0.8× 29 1.6k
Reto Ossola Switzerland 13 1.2k 1.8× 1000 2.4× 130 1.0× 77 0.7× 82 1.0× 15 1.6k
Jiang Wu United States 20 1.1k 1.8× 762 1.9× 128 1.0× 188 1.7× 92 1.1× 43 1.8k
Frank Vitzthum Germany 11 643 1.0× 522 1.3× 55 0.4× 80 0.7× 78 0.9× 24 1.1k

Countries citing papers authored by Gordon Whiteley

Since Specialization
Citations

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

Fields of papers citing papers by Gordon Whiteley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gordon Whiteley

This figure shows the co-authorship network connecting the top 25 collaborators of Gordon Whiteley. A scholar is included among the top collaborators of Gordon Whiteley 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 Gordon Whiteley. Gordon Whiteley 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.
Sissung, Tristan M., Douglas K. Price, Teri M. Plona, et al.. (2020). Comparison of Eight Technologies to Determine Genotype at the UGT1A1 (TA)n Repeat Polymorphism: Potential Clinical Consequences of Genotyping Errors?. International Journal of Molecular Sciences. 21(3). 896–896. 7 indexed citations
2.
Schoenherr, Regine M., Dongqing Huang, Uliana J. Voytovich, et al.. (2019). A dataset describing a suite of novel antibody reagents for the RAS signaling network. Scientific Data. 6(1). 160–160. 4 indexed citations
3.
Martinko, Alexander J., Charles Truillet, Olivier Julien, et al.. (2018). Targeting RAS-driven human cancer cells with antibodies to upregulated and essential cell-surface proteins. eLife. 7. 60 indexed citations
4.
Navas, Tony, Thomas D. Pfister, Simona Colantonio, et al.. (2018). Novel antibody reagents for characterization of drug- and tumor microenvironment-induced changes in epithelial-mesenchymal transition and cancer stem cells. PLoS ONE. 13(6). e0199361–e0199361. 9 indexed citations
5.
Ye, Xiaoying, Brian T. Luke, Bih‐Rong Wei, et al.. (2018). Direct molecular dissection of tumor parenchyma from tumor stroma in tumor xenograft using mass spectrometry-based glycoproteomics. Oncotarget. 9(41). 26431–26452. 6 indexed citations
6.
Ye, Xiaoying, King C. Chan, Andrew M. Waters, et al.. (2016). Comparative proteomics of a model MCF10A-KRasG12V cell line reveals a distinct molecular signature of the KRasG12V cell surface. Oncotarget. 7(52). 86948–86971. 19 indexed citations
7.
Schoenherr, Regine M., Richard G. Saul, Jeffrey R. Whiteaker, et al.. (2014). Anti-Peptide Monoclonal Antibodies Generated for Immuno-Multiple Reaction Monitoring-Mass Spectrometry Assays Have a High Probability of Supporting Western blot and ELISA. Molecular & Cellular Proteomics. 14(2). 382–398. 25 indexed citations
8.
Williams, Reginald L., Joon‐Yong Chung, Kris Ylaya, Gordon Whiteley, & Stephen M. Hewitt. (2010). Characterizations and validations of novel antibodies toward translational research. PROTEOMICS - CLINICAL APPLICATIONS. 4(6-7). 618–625. 4 indexed citations
9.
Whiteley, Gordon, Simona Colantonio, Andrea Sacconi, & Richard G. Saul. (2009). Analytical Considerations for Mass Spectrometry Profiling in Serum Biomarker Discovery. Clinics in Laboratory Medicine. 29(1). 57–69. 5 indexed citations
10.
Annunziata, Christina M., Nilofer S. Azad, Amit S. Dhamoon, Gordon Whiteley, & Elise C. Kohn. (2008). Ovarian cancer in the proteomics era. International Journal of Gynecological Cancer. 18. 1–6. 12 indexed citations
11.
Whiteley, Gordon. (2008). Bringing diagnostic technologies to the clinical laboratory: Rigor, regulation, and reality. PROTEOMICS - CLINICAL APPLICATIONS. 2(10-11). 1378–1385. 6 indexed citations
12.
Belluco, Claudio, Emanuel F. Petricoin, Enzo Mammano, et al.. (2007). Serum Proteomic Analysis Identifies a Highly Sensitive and Specific Discriminatory Pattern in Stage 1 Breast Cancer. Annals of Surgical Oncology. 14(9). 2470–2476. 73 indexed citations
13.
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
14.
Cowen, Edward W., Seth M. Steinberg, Sewon Kang, et al.. (2007). Differentiation of tumour-stage mycosis fungoides, psoriasis vulgaris and normal controls in a pilot study using serum proteomic analysis. British Journal of Dermatology. 157(5). 946–953. 16 indexed citations
15.
Whiteley, Gordon. (2006). Proteomic patterns for cancer diagnosis—promise and challenges. Molecular BioSystems. 2(8). 358–363. 8 indexed citations
16.
Srinivasan, Ramaprasad, Vincent A. Fusaro, Andreas Lundqvist, et al.. (2006). Accurate diagnosis of acute graft-versus-host disease using serum proteomic pattern analysis. Experimental Hematology. 34(6). 796–801. 45 indexed citations
17.
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
18.
Johann, Donald J., Michael McGuigan, Amit R. Patel, et al.. (2004). Clinical Proteomics and Biomarker Discovery. Annals of the New York Academy of Sciences. 1022(1). 295–305. 76 indexed citations
19.
Johann, Donald J., Michael McGuigan, Stanimire Tomov, et al.. (2004). Novel Approaches to Visualization and Data Mining Reveals Diagnostic Information in the Low Amplitude Region of Serum Mass Spectra from Ovarian Cancer Patients. Disease Markers. 19(4-5). 197–207. 13 indexed citations
20.
Penner, J L, N A Hinton, I. B. R. Duncan, J N Hennessy, & Gordon Whiteley. (1979). O serotyping of Providencia stuartii isolates collected from twelve hospitals. Journal of Clinical Microbiology. 9(1). 11–14. 28 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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