William S. Hancock

14.2k total citations
236 papers, 9.0k citations indexed

About

William S. Hancock is a scholar working on Molecular Biology, Spectroscopy and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, William S. Hancock has authored 236 papers receiving a total of 9.0k indexed citations (citations by other indexed papers that have themselves been cited), including 175 papers in Molecular Biology, 107 papers in Spectroscopy and 35 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in William S. Hancock's work include Advanced Proteomics Techniques and Applications (59 papers), Glycosylation and Glycoproteins Research (54 papers) and Mass Spectrometry Techniques and Applications (51 papers). William S. Hancock is often cited by papers focused on Advanced Proteomics Techniques and Applications (59 papers), Glycosylation and Glycoproteins Research (54 papers) and Mass Spectrometry Techniques and Applications (51 papers). William S. Hancock collaborates with scholars based in United States, New Zealand and Australia. William S. Hancock's co-authors include Shiaw‐Lin Wu, Marina Hincapie, C.A. Bishop, John E. Battersby, Barry L. Karger, Alex Apffel, Milton T.W. Hearn, Milton T. W. Hearn, David Harding and John A. Chakel and has published in prestigious journals such as Science, Journal of the American Chemical Society and Journal of Biological Chemistry.

In The Last Decade

William S. Hancock

232 papers receiving 8.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
William S. Hancock United States 54 6.1k 4.0k 1.2k 1.1k 675 236 9.0k
Haojie Lu China 45 4.5k 0.7× 2.4k 0.6× 970 0.8× 477 0.4× 728 1.1× 282 7.1k
N. Leigh Anderson United States 45 7.5k 1.2× 6.0k 1.5× 1.2k 1.0× 993 0.9× 109 0.2× 97 11.4k
Peter Mortensen Denmark 31 6.2k 1.0× 3.3k 0.8× 2.3k 1.9× 261 0.2× 307 0.5× 46 11.7k
Hui Zhang United States 47 6.4k 1.0× 2.9k 0.7× 297 0.3× 1.1k 0.9× 1.1k 1.6× 205 8.4k
Dirk Wolters Germany 32 6.3k 1.0× 4.2k 1.1× 489 0.4× 216 0.2× 240 0.4× 66 9.5k
Tao Liu United States 46 4.5k 0.7× 3.4k 0.9× 596 0.5× 309 0.3× 154 0.2× 154 6.7k
Feng Li China 58 8.7k 1.4× 715 0.2× 3.8k 3.2× 400 0.3× 338 0.5× 326 12.6k
Theo M. Luider Netherlands 48 4.8k 0.8× 1.9k 0.5× 606 0.5× 415 0.4× 67 0.1× 268 8.1k
Yoshio Yamauchi Japan 43 4.4k 0.7× 892 0.2× 371 0.3× 230 0.2× 292 0.4× 168 6.6k
Kelvin H. Lee United States 50 4.9k 0.8× 998 0.3× 1.0k 0.9× 837 0.7× 114 0.2× 219 7.6k

Countries citing papers authored by William S. Hancock

Since Specialization
Citations

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

Fields of papers citing papers by William S. Hancock

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William S. Hancock. 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 William S. Hancock. The network helps show where William S. Hancock may publish in the future.

Co-authorship network of co-authors of William S. Hancock

This figure shows the co-authorship network connecting the top 25 collaborators of William S. Hancock. A scholar is included among the top collaborators of William S. Hancock 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 William S. Hancock. William S. Hancock 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.
Singh, Gajendra, et al.. (2018). Optical Detection of Degraded Therapeutic Proteins. Scientific Reports. 8(1). 5089–5089. 6 indexed citations
2.
Ko, Sung Hee, Wei Ouyang, Divya Chandra, et al.. (2015). A nanofluidic device for rapid biologics quality control. 329–331. 1 indexed citations
3.
Tep, Samnang, Marina Hincapie, & William S. Hancock. (2012). The characterization and quantitation of glycomic changes in CHO cells during a bioreactor campaign. Biotechnology and Bioengineering. 109(12). 3007–3017. 10 indexed citations
4.
Hincapie, Marina, et al.. (2011). Lectin-mediated microfluidic capture and release of leukemic lymphocytes from whole blood. Biomedical Microdevices. 13(3). 565–571. 13 indexed citations
5.
Hincapie, Marina, Brian B. Haab, Samir Hanash, et al.. (2009). The development of an integrated platform to identify breast cancer glycoproteome changes in human serum. Journal of Chromatography A. 1217(19). 3307–3315. 32 indexed citations
6.
Zheng, Xiaoyang, et al.. (2006). Analysis of the low molecular weight serum peptidome using ultrafiltration and a hybrid ion trap-Fourier transform mass spectrometer. Journal of Chromatography A. 1120(1-2). 173–184. 107 indexed citations
7.
Yang, Ziping & William S. Hancock. (2005). Monitoring glycosylation pattern changes of glycoproteins using multi-lectin affinity chromatography. Journal of Chromatography A. 1070(1-2). 57–64. 89 indexed citations
8.
Hancock, William S., et al.. (2002). Publishing large proteome datasets: scientific policy meets emerging technologies. Trends in biotechnology. 20(12). s39–s44. 16 indexed citations
9.
Apffel, Alex, John A. Chakel, Yuqin Dai, et al.. (2000). Approaches to functional genomics: potential of matrix-assisted laser desorption ionization–time of flight mass spectrometry combined with separation methods for the analysis of DNA in biological samples. Journal of Chromatography B Biomedical Sciences and Applications. 745(1). 231–241. 9 indexed citations
10.
Hancock, William S., Alex Apffel, John A. Chakel, et al.. (1999). Peer Reviewed: Integrated Genomic/Proteomic Analysis. Analytical Chemistry. 71(21). 742A–748A. 25 indexed citations
11.
Apffel, Alex, et al.. (1999). Effect of electric field on liquid chromatographic separation of peptide digests. Journal of Chromatography A. 832(1-2). 149–163. 37 indexed citations
12.
Karger, Barry L. & William S. Hancock. (1996). High resolution separation and analysis of biological macromolecules. Academic Press eBooks. 14 indexed citations
13.
14.
Frenz, John, et al.. (1993). Ultrasensitive plasmid mapping by high performance capillary electrophoresis. Electrophoresis. 14(1). 509–514. 24 indexed citations
15.
16.
Frenz, John, et al.. (1991). Characterization of a tryptic digest by high-performance displacement chromatography and mass spectrometry. Journal of Chromatography A. 557(1-2). 289–305. 14 indexed citations
17.
Hancock, William S.. (1990). High performance liquid chromatography in biotechnology. Virtual Defense Library (Ministerio de Defensa). 31 indexed citations
18.
Frenz, John, Shiaw‐Lin Wu, & William S. Hancock. (1989). Characterization of human growth hormone by capillary electrophoresis. Journal of Chromatography A. 480. 379–391. 98 indexed citations
19.
Harris, Reed J., Rodney G. Keck, B.A. Keyt, et al.. (1989). Study of the primary structure of recombinant tissue plasminogen activator by reversed-phase high-performance liquid chromatographic tryptic mapping. Journal of Chromatography A. 463(2). 375–396. 34 indexed citations
20.
Bishop, C.A., et al.. (1979). Application of Reversed Phase High Performance Liquid Chromatography in Solid Phase Peptide Synthesis. Journal of Liquid Chromatography. 2(1). 1–21. 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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