Chris Spahr

3.2k total citations
36 papers, 2.4k citations indexed

About

Chris Spahr is a scholar working on Molecular Biology, Spectroscopy and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Chris Spahr has authored 36 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 13 papers in Spectroscopy and 9 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Chris Spahr's work include Mass Spectrometry Techniques and Applications (12 papers), Monoclonal and Polyclonal Antibodies Research (9 papers) and Advanced Proteomics Techniques and Applications (8 papers). Chris Spahr is often cited by papers focused on Mass Spectrometry Techniques and Applications (12 papers), Monoclonal and Polyclonal Antibodies Research (9 papers) and Advanced Proteomics Techniques and Applications (8 papers). Chris Spahr collaborates with scholars based in United States, France and United Kingdom. Chris Spahr's co-authors include Scott D. Patterson, Guido Kroemer, John H. Robinson, Éric Daugas, Michael D. McGinley, Hsieng S. Lu, Roland Luethy, Jill Beierle, Edward J. Bures and Wen Yu and has published in prestigious journals such as Blood, Analytical Chemistry and Biochemistry.

In The Last Decade

Chris Spahr

36 papers receiving 2.3k citations

Peers

Chris Spahr
Sun‐Il Hwang United States
Michael Burgess United States
Christoph Stingl Netherlands
Urs Lewandrowski Germany
Eric Kuhn United States
Rebekah L. Gundry United States
Suzanne Miyamoto United States
Hasmik Keshishian United States
David J. Ashline United States
Sophia Doll Germany
Sun‐Il Hwang United States
Chris Spahr
Citations per year, relative to Chris Spahr Chris Spahr (= 1×) peers Sun‐Il Hwang

Countries citing papers authored by Chris Spahr

Since Specialization
Citations

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

Fields of papers citing papers by Chris Spahr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chris Spahr

This figure shows the co-authorship network connecting the top 25 collaborators of Chris Spahr. A scholar is included among the top collaborators of Chris Spahr 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 Chris Spahr. Chris Spahr 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.
Campuzano, Iain D. G., Michael Nshanian, Chris Spahr, et al.. (2020). High Mass Analysis with a Fourier Transform Ion Cyclotron Resonance Mass Spectrometer: From Inorganic Salt Clusters to Antibody Conjugates and Beyond. Journal of the American Society for Mass Spectrometry. 31(5). 1155–1162. 17 indexed citations
2.
Jacobitz, Alex W., et al.. (2019). Effects of Buffer Composition on Site-Specific Glycation of Lysine Residues in Monoclonal Antibodies. Journal of Pharmaceutical Sciences. 109(1). 293–300. 9 indexed citations
3.
Spahr, Chris, Mark Daris, Kevin C. Graham, et al.. (2018). Discovery, characterization, and remediation of a C-terminal Fc-extension in proteins expressed in CHO cells. mAbs. 10(8). 1291–1300. 10 indexed citations
4.
Spahr, Chris, Kannan Gunasekaran, Kenneth W. Walker, & Stone D.‐H. Shi. (2017). High-resolution mass spectrometry confirms the presence of a hydroxyproline (Hyp) post-translational modification in the GGGGP linker of an Fc-fusion protein. mAbs. 9(5). 812–819. 11 indexed citations
5.
Stanislaus, Shanaka, Randy Hecht, Junming Yie, et al.. (2017). A Novel Fc-FGF21 With Improved Resistance to Proteolysis, Increased Affinity Toward β-Klotho, and Enhanced Efficacy in Mice and Cynomolgus Monkeys. Endocrinology. 158(5). 1314–1327. 81 indexed citations
6.
Lippens, Jennifer L., Michael Nshanian, Chris Spahr, et al.. (2017). Fourier Transform-Ion Cyclotron Resonance Mass Spectrometry as a Platform for Characterizing Multimeric Membrane Protein Complexes. Journal of the American Society for Mass Spectrometry. 29(1). 183–193. 32 indexed citations
7.
Spahr, Chris, Stone D.‐H. Shi, & Hsieng S. Lu. (2014). O-Glycosylation of glycine-serine linkers in recombinant Fc-fusion proteins. mAbs. 6(4). 904–914. 18 indexed citations
8.
Hager, Todd, Chris Spahr, Jing Xu, Hossein Salimi-Moosavi, & Michael Hall. (2013). Differential Enzyme-Linked Immunosorbent Assay and Ligand-Binding Mass Spectrometry for Analysis of Biotransformation of Protein Therapeutics: Application to Various FGF21 Modalities. Analytical Chemistry. 85(5). 2731–2738. 51 indexed citations
9.
Haniu, Mitsuru, Tom Horan, Chris Spahr, et al.. (2011). Human Dickkopf‐1 (huDKK1) protein: Characterization of glycosylation and determination of disulfide linkages in the two cysteine‐rich domains. Protein Science. 20(11). 1802–1813. 16 indexed citations
10.
11.
Elliott, Steve, Leigh Busse, Ian McCaffery, et al.. (2009). Identification of a sensitive anti-erythropoietin receptor monoclonal antibody allows detection of low levels of EpoR in cells. Journal of Immunological Methods. 352(1-2). 126–139. 56 indexed citations
12.
Davis, Michael T., et al.. (2007). Cancer biomarker discovery via low molecular weight serum proteome profiling – Where is the tumor?. PROTEOMICS - CLINICAL APPLICATIONS. 1(12). 1545–1558. 14 indexed citations
13.
Candé, Céline, Nicola Vahsen, Ilektra Kouranti, et al.. (2004). AIF and cyclophilin A cooperate in apoptosis-associated chromatinolysis. Oncogene. 23(8). 1514–1521. 223 indexed citations
14.
Gurbuxani, Sandeep, E. Schmitt, Céline Candé, et al.. (2003). Heat shock protein 70 binding inhibits the nuclear import of apoptosis-inducing factor. Oncogene. 22(43). 6669–6678. 219 indexed citations
15.
Spahr, Chris, Michael D. McGinley, John H. Robinson, et al.. (2001). Towards defining the urinary proteome using liquid chromatography-tandem mass spectrometry I.Profiling an unfractionated tryptic digest. PROTEOMICS. 1(1). 93–107. 258 indexed citations
16.
Davis, Michael T., Jill Beierle, Michael D. McGinley, et al.. (2001). Automated LC–LC–MS–MS platform using binary ion-exchange and gradient reversed-phase chromatography for improved proteomic analyses. Journal of Chromatography B Biomedical Sciences and Applications. 752(2). 281–291. 123 indexed citations
17.
Patterson, Scott D., Chris Spahr, Éric Daugas, et al.. (2000). Mass spectrometric identification of proteins released from mitochondria undergoing permeability transition. Cell Death and Differentiation. 7(2). 137–144. 146 indexed citations
18.
McGinley, Michael D., John H. Robinson, Chris Spahr, et al.. (2000). A simplified device for protein identification by microcapillary gradient liquid chromatography-tandem mass spectrometry. Electrophoresis. 21(9). 1678–1684. 7 indexed citations
19.
Courchesne, Paul, Michael D. Jones, John H. Robinson, et al.. (1998). Optimization of capillary chromatography ion trap‐mass spectrometry for identification of gel‐separated proteins. Electrophoresis. 19(6). 956–967. 33 indexed citations
20.

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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