Christopher A. Carroll

1.0k total citations
23 papers, 852 citations indexed

About

Christopher A. Carroll is a scholar working on Molecular Biology, Spectroscopy and Physiology. According to data from OpenAlex, Christopher A. Carroll has authored 23 papers receiving a total of 852 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 5 papers in Spectroscopy and 4 papers in Physiology. Recurrent topics in Christopher A. Carroll's work include Mitochondrial Function and Pathology (6 papers), Alzheimer's disease research and treatments (4 papers) and Mass Spectrometry Techniques and Applications (4 papers). Christopher A. Carroll is often cited by papers focused on Mitochondrial Function and Pathology (6 papers), Alzheimer's disease research and treatments (4 papers) and Mass Spectrometry Techniques and Applications (4 papers). Christopher A. Carroll collaborates with scholars based in United States, Russia and China. Christopher A. Carroll's co-authors include Susan T. Weintraub, Neal C. Robinson, Andrej Musatov, Joungil Choi, Robert W. Gracy, Philip Serwer, Vincent L. Cryns, David A. Bennett, Lester I. Binder and Matthew R. Reynolds and has published in prestigious journals such as Journal of Neuroscience, Analytical Chemistry and Biochemistry.

In The Last Decade

Christopher A. Carroll

23 papers receiving 836 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christopher A. Carroll United States 15 527 251 136 130 92 23 852
O. D. Lopina Russia 18 801 1.5× 202 0.8× 49 0.4× 112 0.9× 21 0.2× 96 1.1k
Shinzaburo Takamiya Japan 20 815 1.5× 151 0.6× 187 1.4× 291 2.2× 26 0.3× 45 1.6k
Jumpei Sasabe Japan 20 768 1.5× 303 1.2× 35 0.3× 347 2.7× 92 1.0× 39 1.6k
Aracely García‐García Mexico 18 521 1.0× 128 0.5× 31 0.2× 81 0.6× 24 0.3× 47 1.1k
Grant Butt New Zealand 19 671 1.3× 144 0.6× 37 0.3× 156 1.2× 27 0.3× 54 1.3k
Marek Noga Netherlands 16 469 0.9× 85 0.3× 29 0.2× 81 0.6× 189 2.1× 27 856
Takehiro Shinoda Japan 7 785 1.5× 94 0.4× 48 0.4× 79 0.6× 17 0.2× 8 995
M. Borgers Belgium 20 649 1.2× 682 2.7× 99 0.7× 308 2.4× 18 0.2× 53 1.6k
Vera Y. Moiseenkova‐Bell United States 25 1.1k 2.0× 238 0.9× 46 0.3× 482 3.7× 35 0.4× 58 2.2k
Norbert W. Seidler United States 19 935 1.8× 481 1.9× 26 0.2× 285 2.2× 63 0.7× 61 1.6k

Countries citing papers authored by Christopher A. Carroll

Since Specialization
Citations

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

Fields of papers citing papers by Christopher A. Carroll

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher A. Carroll. 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 Christopher A. Carroll. The network helps show where Christopher A. Carroll may publish in the future.

Co-authorship network of co-authors of Christopher A. Carroll

This figure shows the co-authorship network connecting the top 25 collaborators of Christopher A. Carroll. A scholar is included among the top collaborators of Christopher A. Carroll 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 Christopher A. Carroll. Christopher A. Carroll 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.
Carroll, Christopher A., et al.. (2010). The effects of normal saline instillation in conjunction with negative pressure wound therapy on wound healing in a porcine model.. PubMed. 22(7). 179–87. 29 indexed citations
2.
Bustamante, Juan J., Christopher A. Carroll, Susan T. Weintraub, et al.. (2009). O‐Glycosylated 24 kDa human growth hormone has a mucin‐like biantennary disialylated tetrasaccharide attached at Thr‐60. PROTEOMICS. 9(13). 3474–3488. 16 indexed citations
3.
Thomas, Julie A., Christopher A. Carroll, Peter Shen, et al.. (2008). Characterization of Pseudomonas chlororaphis myovirus 201ϕ2-1 via genomic sequencing, mass spectrometry, and electron microscopy. Virology. 376(2). 330–338. 85 indexed citations
4.
5.
Thomas, Julie A., Stephen C. Hardies, Shirley J. Hayes, et al.. (2007). Complete genomic sequence and mass spectrometric analysis of highly diverse, atypical Bacillus thuringiensis phage 0305ϕ8–36. Virology. 368(2). 405–421. 55 indexed citations
6.
Weintraub, Susan T., et al.. (2007). Tryptophan 334 oxidation in bovine cytochrome c oxidase subunit I involves free radical migration. FEBS Letters. 581(3). 437–442. 24 indexed citations
7.
8.
Minard, Karyl I., Christopher A. Carroll, Susan T. Weintraub, & Lee McAlister-Henn. (2006). Changes in disulfide bond content of proteins in a yeast strain lacking major sources of NADPH. Free Radical Biology and Medicine. 42(1). 106–117. 12 indexed citations
9.
Luo, Moulun, et al.. (2006). Quantification of phosphorylation of insulin receptor substrate-1 by HPLC-ESI-MS/MS. Journal of the American Society for Mass Spectrometry. 17(4). 562–567. 20 indexed citations
10.
Luo, Moulun, Sara M. Reyna, Lishan Wang, et al.. (2005). Identification of Insulin Receptor Substrate 1 Serine/Threonine Phosphorylation Sites Using Mass Spectrometry Analysis: Regulatory Role of Serine 1223. Endocrinology. 146(10). 4410–4416. 47 indexed citations
11.
12.
Horowitz, Peleg, Kristina R. Patterson, Angela Guillozet-Bongaarts, et al.. (2004). Early N-Terminal Changes and Caspase-6 Cleavage of Tau in Alzheimer's Disease. Journal of Neuroscience. 24(36). 7895–7902. 177 indexed citations
13.
Grizzle, William E., Bao-Ling Adam, William L. Bigbee, et al.. (2004). Serum Protein Expression Profiling for Cancer Detection: Validation of a SELDI‐Based Approach for Prostate Cancer. Disease Markers. 19(4-5). 185–195. 52 indexed citations
14.
Choi, Joungil, Michael J. Forster, Shelley R. McDonald, et al.. (2004). Proteomic identification of specific oxidized proteins in ApoE-knockout mice: relevance to alzheimer's disease. Free Radical Biology and Medicine. 36(9). 1155–1162. 86 indexed citations
15.
Chadwell, Linda V., et al.. (2004). Apolipophorin‐III‐like protein expressed in the antenna of the red imported fire ant, Solenopsis invicta Buren (Hymenoptera: Formicidae). Archives of Insect Biochemistry and Physiology. 57(3). 101–110. 9 indexed citations
16.
Huang, Shijun, et al.. (2004). Analysis of proteins stained by Alexa dyes. Electrophoresis. 25(6). 779–784. 13 indexed citations
17.
Musatov, Andrej, et al.. (2004). Specific Modification of Two Tryptophans within the Nuclear-Encoded Subunits of Bovine CytochromecOxidase by Hydrogen Peroxide,. Biochemistry. 43(4). 1003–1009. 29 indexed citations
18.
Choi, Joungil, Christina A. Malakowsky, John M. Talent, et al.. (2003). Anti-apoptotic proteins are oxidized by Aβ25–35 in Alzheimer's fibroblasts. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1637(2). 135–141. 38 indexed citations
19.
Choi, Joungil, Craig C. Conrad, Rong Dai, et al.. (2003). Vitamin E prevents oxidation of antiapoptotic proteins in neuronal cells. PROTEOMICS. 3(1). 73–77. 34 indexed citations
20.
Musatov, Andrej, et al.. (2002). Analysis of mitochondrial electron transport complexes by MALDI-TOF mass spectrometry. 205–206. 1 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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