Danielle Pace

468 total citations
9 papers, 367 citations indexed

About

Danielle Pace is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Infectious Diseases. According to data from OpenAlex, Danielle Pace has authored 9 papers receiving a total of 367 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Radiology, Nuclear Medicine and Imaging and 1 paper in Infectious Diseases. Recurrent topics in Danielle Pace's work include Monoclonal and Polyclonal Antibodies Research (6 papers), Glycosylation and Glycoproteins Research (5 papers) and Protein purification and stability (3 papers). Danielle Pace is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (6 papers), Glycosylation and Glycoproteins Research (5 papers) and Protein purification and stability (3 papers). Danielle Pace collaborates with scholars based in United States and Canada. Danielle Pace's co-authors include T. L. Porter, Gordon Southam, Randall E. Mielke, Alain Balland, Lowell J. Brady, Theresa Martinez, Mei Han, Boxu Yan, Dean K. Pettit and John Valliere‐Douglass and has published in prestigious journals such as Biochemistry, Journal of Chromatography A and Journal of Chromatography B.

In The Last Decade

Danielle Pace

9 papers receiving 347 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Danielle Pace United States	8	227	177	96	57	51	9	367
Zhijun Tan United States	12	379 1.7×	208 1.2×	85 0.9×	44 0.8×	39 0.8×	30	463
Caroline Murphy Ireland	10	315 1.4×	141 0.8×	108 1.1×	39 0.7×	16 0.3×	20	481
Anne Zeck Germany	13	229 1.0×	106 0.6×	54 0.6×	186 3.3×	58 1.1×	20	530
Mridula Dwivedi Germany	10	311 1.4×	70 0.4×	78 0.8×	4 0.1×	29 0.6×	21	460
Yuan Mao United States	9	158 0.7×	71 0.4×	32 0.3×	7 0.1×	135 2.6×	39	357
Anthony Barnes United Kingdom	8	99 0.4×	100 0.6×	42 0.4×	11 0.2×	23 0.5×	16	447
D. Voisard Switzerland	8	299 1.3×	47 0.3×	118 1.2×	22 0.4×	6 0.1×	9	381
Mark Brower United States	11	320 1.4×	107 0.6×	125 1.3×	3 0.1×	21 0.4×	17	384
Gediminas Mikutis Switzerland	10	194 0.9×	40 0.2×	45 0.5×	7 0.1×	16 0.3×	15	416
H. Nishimura Japan	8	104 0.5×	16 0.1×	32 0.3×	39 0.7×	14 0.3×	12	332

Countries citing papers authored by Danielle Pace

Since Specialization

Citations

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

Fields of papers citing papers by Danielle Pace

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Danielle Pace

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

All Works

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9 of 9 papers shown

Pettit, Dean K., Richard S. Rogers, Kelly K. Arthur, et al.. (2016). CHO cell production and sequence improvement in the 13C6FR1 anti-Ebola antibody. mAbs. 8(2). 347–357. 17 indexed citations

Pace, Danielle, et al.. (2016). Characterizing the effect of multiple Fc glycan attributes on the effector functions and FcγRIIIa receptor binding activity of an IgG1 antibody. Biotechnology Progress. 32(5). 1181–1192. 14 indexed citations

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

Pace, Danielle, et al.. (2009). Characterization of Minor N-linked Glycans on Antibodies Using Endo H Release and MALDI–Mass Spectrometry. Analytical Letters. 42(11). 1711–1724. 3 indexed citations

Martinez, Theresa, Amy Guo, Martin J. Allen, et al.. (2008). Disulfide Connectivity of Human Immunoglobulin G2 Structural Isoforms. Biochemistry. 47(28). 7496–7508. 62 indexed citations

Yan, Boxu, John Valliere‐Douglass, Lowell J. Brady, et al.. (2007). Analysis of post-translational modifications in recombinant monoclonal antibody IgG1 by reversed-phase liquid chromatography/mass spectrometry. Journal of Chromatography A. 1164(1-2). 153–161. 83 indexed citations

Martinez, Theresa, Danielle Pace, Lowell J. Brady, Mary Gerhart, & Alain Balland. (2007). Characterization of a novel modification on IgG2 light chain. Journal of Chromatography A. 1156(1-2). 183–187. 36 indexed citations

Mielke, Randall E., Danielle Pace, T. L. Porter, & Gordon Southam. (2003). A critical stage in the formation of acid mine drainage: Colonization of pyrite by Acidithiobacillus ferrooxidans under pH‐neutral conditions. Geobiology. 1(1). 81–90. 93 indexed citations

Eastman, Michael P., et al.. (2000). Polymer‐based materials to be used as the active element in microsensors: A scanning force microscopy study. Scanning. 22(5). 304–309. 14 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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