William Bocik

4.7k total citations
9 papers, 147 citations indexed

About

William Bocik is a scholar working on Molecular Biology, Spectroscopy and Epidemiology. According to data from OpenAlex, William Bocik has authored 9 papers receiving a total of 147 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Spectroscopy and 2 papers in Epidemiology. Recurrent topics in William Bocik's work include Advanced Proteomics Techniques and Applications (3 papers), Ubiquitin and proteasome pathways (3 papers) and Mass Spectrometry Techniques and Applications (3 papers). William Bocik is often cited by papers focused on Advanced Proteomics Techniques and Applications (3 papers), Ubiquitin and proteasome pathways (3 papers) and Mass Spectrometry Techniques and Applications (3 papers). William Bocik collaborates with scholars based in United States and Taiwan. William Bocik's co-authors include Joel R. Tolman, Ronald E. Viola, Roger A. Moore, Ananya Majumdar, Tingting Ju, David Clark, Michael Schnaubelt, Emily S. Boja, Aroop Sircar and Jeffrey J. Gray and has published in prestigious journals such as Journal of Biological Chemistry, Analytical Chemistry and Proteins Structure Function and Bioinformatics.

In The Last Decade

William Bocik

9 papers receiving 146 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 Bocik United States 7 116 46 28 25 13 9 147
Marcin J. Domagalski United States 9 219 1.9× 65 1.4× 69 2.5× 13 0.5× 11 0.8× 11 268
Pernille Foged Jensen Denmark 11 225 1.9× 118 2.6× 13 0.5× 29 1.2× 25 1.9× 13 329
Nichole O’Connell United States 7 179 1.5× 23 0.5× 34 1.2× 29 1.2× 7 0.5× 11 219
Efrat Resnick Israel 6 142 1.2× 11 0.2× 20 0.7× 25 1.0× 6 0.5× 8 211
Tara K. Bartolec Australia 6 181 1.6× 40 0.9× 14 0.5× 12 0.5× 11 0.8× 8 237
Alexander Norman Australia 7 157 1.4× 21 0.5× 21 0.8× 30 1.2× 8 0.6× 16 238
Lisa A. Vasicek United States 12 163 1.4× 221 4.8× 11 0.4× 27 1.1× 18 1.4× 17 329
Elizabeth F. Bayne United States 6 165 1.4× 151 3.3× 10 0.4× 19 0.8× 22 1.7× 8 253
Edward J. Takach United States 5 194 1.7× 180 3.9× 9 0.3× 20 0.8× 29 2.2× 5 295
Mateusz Imiołek United States 7 182 1.6× 48 1.0× 6 0.2× 19 0.8× 26 2.0× 21 280

Countries citing papers authored by William Bocik

Since Specialization
Citations

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

Fields of papers citing papers by William Bocik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of William Bocik

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

All Works

9 of 9 papers shown
1.
Han, Chia‐Li, Jin‐Ying Lu, Shyang‐Rong Shih, et al.. (2024). Lessons learned: establishing a CLIA-equivalent laboratory for targeted mass spectrometry assays – navigating the transition from research to clinical practice. Clinical Proteomics. 21(1). 12–12. 4 indexed citations
2.
DeHart, Caroline J., Bryon Drown, Lissa C. Anderson, et al.. (2022). Mapping the KRAS proteoform landscape in colorectal cancer identifies truncated KRAS4B that decreases MAPK signaling. Journal of Biological Chemistry. 299(1). 102768–102768. 23 indexed citations
3.
Clark, David, Michael Schnaubelt, Guo Ci Teo, et al.. (2020). Deep Proteomics Using Two Dimensional Data Independent Acquisition Mass Spectrometry. Analytical Chemistry. 92(6). 4217–4225. 21 indexed citations
4.
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
5.
Clark, David, Yingwei Hu, William Bocik, et al.. (2018). Evaluation of NCI-7 Cell Line Panel as a Reference Material for Clinical Proteomics. Journal of Proteome Research. 17(6). 2205–2215. 17 indexed citations
6.
Bocik, William, et al.. (2017). Conformational Dynamics Modulate Activation of the Ubiquitin Conjugating Enzyme Ube2g2. ACS Omega. 2(8). 4581–4592. 8 indexed citations
7.
Bocik, William, Aroop Sircar, Jeffrey J. Gray, & Joel R. Tolman. (2010). Mechanism of Polyubiquitin Chain Recognition by the Human Ubiquitin Conjugating Enzyme Ube2g2. Journal of Biological Chemistry. 286(5). 3981–3991. 14 indexed citations
8.
Ju, Tingting, William Bocik, Ananya Majumdar, & Joel R. Tolman. (2009). Solution structure and dynamics of human ubiquitin conjugating enzyme Ube2g2. Proteins Structure Function and Bioinformatics. 78(5). 1291–1301. 28 indexed citations
9.
Moore, Roger A., William Bocik, & Ronald E. Viola. (2002). Expression and Purification of Aspartate β-Semialdehyde Dehydrogenase from Infectious Microorganisms. Protein Expression and Purification. 25(1). 189–194. 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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