Hollis Lau

674 total citations
10 papers, 546 citations indexed

About

Hollis Lau is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Spectroscopy. According to data from OpenAlex, Hollis Lau has authored 10 papers receiving a total of 546 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 6 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Spectroscopy. Recurrent topics in Hollis Lau's work include Protein purification and stability (7 papers), Monoclonal and Polyclonal Antibodies Research (6 papers) and Glycosylation and Glycoproteins Research (5 papers). Hollis Lau is often cited by papers focused on Protein purification and stability (7 papers), Monoclonal and Polyclonal Antibodies Research (6 papers) and Glycosylation and Glycoproteins Research (5 papers). Hollis Lau collaborates with scholars based in United States and Switzerland. Hollis Lau's co-authors include Ramil F. Latypov, Himanshu S. Gadgil, Dingjiang Liu, Sanjay B. Hari, Vladimir I. Razinkov, Shuang Chen, Christine C. Siska, R. Matthew Fesinmeyer, Gerd R. Kleemann and Shuang Chen and has published in prestigious journals such as Journal of Biological Chemistry, Analytical Chemistry and Biochemistry.

In The Last Decade

Hollis Lau

10 papers receiving 525 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hollis Lau United States 10 489 318 90 63 39 10 546
Ryosuke Yumioka Japan 8 626 1.3× 420 1.3× 104 1.2× 62 1.0× 38 1.0× 9 704
Prakash Manikwar United States 11 314 0.6× 210 0.7× 90 1.0× 31 0.5× 65 1.7× 17 430
Lawrence W. Dick United States 12 429 0.9× 233 0.7× 96 1.1× 110 1.7× 54 1.4× 14 528
Nancy S. Nightlinger United States 7 310 0.6× 171 0.5× 71 0.8× 45 0.7× 60 1.5× 8 382
Paul A. Salinas United States 8 408 0.8× 242 0.8× 142 1.6× 39 0.6× 103 2.6× 11 609
Günter Iberer Austria 12 332 0.7× 155 0.5× 75 0.8× 83 1.3× 39 1.0× 12 462
Hui‐Min Zhang United States 11 351 0.7× 209 0.7× 206 2.3× 41 0.7× 47 1.2× 17 525
Christof Finkler Switzerland 11 363 0.7× 201 0.6× 40 0.4× 149 2.4× 72 1.8× 16 451
Martin Linhult Sweden 8 628 1.3× 525 1.7× 30 0.3× 88 1.4× 54 1.4× 9 728
Cesar Calero‐Rubio United States 12 480 1.0× 349 1.1× 16 0.2× 112 1.8× 48 1.2× 17 550

Countries citing papers authored by Hollis Lau

Since Specialization
Citations

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

Fields of papers citing papers by Hollis Lau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hollis Lau

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

All Works

10 of 10 papers shown
1.
Siska, Christine C., et al.. (2014). Free Fatty Acid Particles in Protein Formulations, Part 2: Contribution of Polysorbate Raw Material. Journal of Pharmaceutical Sciences. 104(2). 447–456. 78 indexed citations
2.
3.
Latypov, Ramil F., et al.. (2011). Elucidation of Acid-induced Unfolding and Aggregation of Human Immunoglobulin IgG1 and IgG2 Fc. Journal of Biological Chemistry. 287(2). 1381–1396. 129 indexed citations
4.
Chen, Shuang, et al.. (2010). The use of native cation‐exchange chromatography to study aggregation and phase separation of monoclonal antibodies. Protein Science. 19(6). 1191–1204. 40 indexed citations
5.
Kim, Jaewon, et al.. (2010). Characterization of a unique IgG1 mAb CEX profile by limited Lys-C proteolysis/CEX separation coupled with mass spectrometry and structural analysis. Journal of Chromatography B. 878(22). 1973–1981. 25 indexed citations
6.
Lau, Hollis, et al.. (2010). Investigation of degradation processes in IgG1 monoclonal antibodies by limited proteolysis coupled with weak cation-exchange HPLC. Journal of Chromatography B. 878(11-12). 868–876. 45 indexed citations
7.
Hari, Sanjay B., Hollis Lau, Vladimir I. Razinkov, Shuang Chen, & Ramil F. Latypov. (2010). Acid-Induced Aggregation of Human Monoclonal IgG1 and IgG2: Molecular Mechanism and the Effect of Solution Composition. Biochemistry. 49(43). 9328–9338. 108 indexed citations
8.
Letarte, Simon, David Campbell, James S. Eddes, et al.. (2008). Differential Plasma Glycoproteome of p19ARF Skin Cancer Mouse Model Using the Corra Label-Free LC-MS Proteomics Platform. Clinical Proteomics. 4(3-4). 105–116. 11 indexed citations
9.
Brusniak, Mi‐Youn, Bernd Bodenmiller, David Campbell, et al.. (2008). Corra: Computational framework and tools for LC-MS discovery and targeted mass spectrometry-based proteomics. BMC Bioinformatics. 9(1). 542–542. 56 indexed citations
10.
Lau, Hollis, et al.. (2001). Efficacies of Lipophilic Inhibitors of Dihydrofolate Reductase against Parasitic Protozoa. Antimicrobial Agents and Chemotherapy. 45(1). 187–195. 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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