Barbara P. Craddock

460 total citations
20 papers, 344 citations indexed

About

Barbara P. Craddock is a scholar working on Molecular Biology, Virology and Cell Biology. According to data from OpenAlex, Barbara P. Craddock has authored 20 papers receiving a total of 344 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 5 papers in Virology and 4 papers in Cell Biology. Recurrent topics in Barbara P. Craddock's work include HIV Research and Treatment (5 papers), Protist diversity and phylogeny (3 papers) and PI3K/AKT/mTOR signaling in cancer (3 papers). Barbara P. Craddock is often cited by papers focused on HIV Research and Treatment (5 papers), Protist diversity and phylogeny (3 papers) and PI3K/AKT/mTOR signaling in cancer (3 papers). Barbara P. Craddock collaborates with scholars based in United States, Japan and Russia. Barbara P. Craddock's co-authors include W. Todd Miller, Roy T. Steigbigel, Kazuo Suzuki, Deborah A. Brown, Wanqing Li, Jinhua Wu, Kenneth W. Foreman, Mark J. Mulvihill, Stevan R. Hubbard and Qunsheng Ji and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and The EMBO Journal.

In The Last Decade

Barbara P. Craddock

20 papers receiving 334 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Barbara P. Craddock United States 10 205 109 99 50 40 20 344
Leticia Odriozola Spain 11 227 1.1× 54 0.5× 65 0.7× 48 1.0× 60 1.5× 13 389
Jimmy P. Xu United States 10 123 0.6× 72 0.7× 69 0.7× 52 1.0× 11 0.3× 13 257
Sheri Rogers United States 4 292 1.4× 97 0.9× 104 1.1× 88 1.8× 31 0.8× 7 477
Alamelu Chandrasekaran United States 5 83 0.4× 38 0.3× 25 0.3× 31 0.6× 31 0.8× 8 213
Silvia Napoletano Ireland 9 220 1.1× 24 0.2× 24 0.2× 155 3.1× 30 0.8× 10 449
K. Mark Parnell United States 11 530 2.6× 38 0.3× 38 0.4× 93 1.9× 25 0.6× 13 628
Ida Deichaite United States 10 290 1.4× 27 0.2× 20 0.2× 74 1.5× 18 0.5× 17 395
John G. Niedzwicki United States 11 300 1.5× 18 0.2× 79 0.8× 98 2.0× 78 1.9× 12 415
Karen Prus United States 9 146 0.7× 137 1.3× 202 2.0× 52 1.0× 112 2.8× 17 398
R. Brundiers Germany 8 298 1.5× 32 0.3× 124 1.3× 41 0.8× 29 0.7× 8 365

Countries citing papers authored by Barbara P. Craddock

Since Specialization
Citations

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

Fields of papers citing papers by Barbara P. Craddock

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Barbara P. Craddock. 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 Barbara P. Craddock. The network helps show where Barbara P. Craddock may publish in the future.

Co-authorship network of co-authors of Barbara P. Craddock

This figure shows the co-authorship network connecting the top 25 collaborators of Barbara P. Craddock. A scholar is included among the top collaborators of Barbara P. Craddock 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 Barbara P. Craddock. Barbara P. Craddock 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.
Craddock, Barbara P., et al.. (2024). Effects of heterologous kinase domains on growth factor receptor specificity. Cellular Signalling. 122. 111307–111307. 2 indexed citations
2.
Pereira, Maria J., José Diego Botezelli, Cheng‐Hsiang Kuo, et al.. (2023). CD248 promotes insulin resistance by binding to the insulin receptor and dampening its insulin-induced autophosphorylation. EBioMedicine. 99. 104906–104906. 2 indexed citations
3.
Craddock, Barbara P., et al.. (2023). Phosphorylation of Ack1 by the Receptor Tyrosine Kinase Mer. PubMed. 1(3). 167–180. 2 indexed citations
4.
Burton, Robert A., Andrew M. Lipchik, Barbara P. Craddock, et al.. (2019). Substrate binding to Src: A new perspective on tyrosine kinase substrate recognition from NMR and molecular dynamics. Protein Science. 29(2). 350–359. 11 indexed citations
5.
Georghiou, George P., Ralph E. Kleiner, Kip E. Guja, et al.. (2016). Structural and Biochemical Basis for Intracellular Kinase Inhibition by Src-specific Peptidic Macrocycles. Cell chemical biology. 23(9). 1103–1112. 14 indexed citations
6.
Craddock, Barbara P., et al.. (2015). Constitutive Activity in an Ancestral Form of Abl Tyrosine Kinase. PLoS ONE. 10(6). e0131062–e0131062. 8 indexed citations
7.
Craddock, Barbara P., et al.. (2014). Regulation of Src and Csk Nonreceptor Tyrosine Kinases in the Filasterean Ministeria vibrans. Biochemistry. 53(8). 1320–1329. 8 indexed citations
8.
Craddock, Barbara P., et al.. (2013). Metazoan-like signaling in a unicellular receptor tyrosine kinase. BMC Biochemistry. 14(1). 4–4. 6 indexed citations
9.
Craddock, Barbara P. & W. Todd Miller. (2012). Effects of Somatic Mutations in the C-Terminus of Insulin-Like Growth Factor 1 Receptor on Activity and Signaling. SHILAP Revista de lepidopterología. 2012. 1–7. 9 indexed citations
10.
Chan, Perry M., et al.. (2011). PTB Domain-Directed Substrate Targeting in a Tyrosine Kinase from the Unicellular Choanoflagellate Monosiga brevicollis. PLoS ONE. 6(4). e19296–e19296. 10 indexed citations
11.
Craddock, Barbara P., et al.. (2010). Cancer-associated Mutations Activate the Nonreceptor Tyrosine Kinase Ack1. Journal of Biological Chemistry. 285(14). 10605–10615. 46 indexed citations
12.
Yadav, Shalini S., Brian J. Yeh, Barbara P. Craddock, Wendell A. Lim, & W. Todd Miller. (2009). Reengineering the Signaling Properties of a Src Family Kinase. Biochemistry. 48(46). 10956–10962. 8 indexed citations
13.
Patwardhan, Parag P., Kiyotaka Shiba, Chris Gordon, et al.. (2009). Synthesis of Functional Signaling Domains by Combinatorial Polymerization of Phosphorylation Motifs. ACS Chemical Biology. 4(9). 751–758. 4 indexed citations
14.
Wu, Jinhua, Wanqing Li, Barbara P. Craddock, et al.. (2008). Small‐molecule inhibition and activation‐loop trans‐phosphorylation of the IGF1 receptor. The EMBO Journal. 27(14). 1985–1994. 67 indexed citations
15.
Craddock, Barbara P., et al.. (2007). Autoinhibition of the insulin‐like growth factor I receptor by the juxtamembrane region. FEBS Letters. 581(17). 3235–3240. 13 indexed citations
16.
Lake‐Bakaar, Gerond, et al.. (1996). Changes in parietal cell structure and function in HIV disease. Digestive Diseases and Sciences. 41(7). 1398–1408. 18 indexed citations
17.
Craddock, Barbara P., et al.. (1996). Impairment of Phagosome-Lysosome Fusion in HIV-1-Infected Macrophages. Journal of Acquired Immune Deficiency Syndromes & Human Retrovirology. 13(1). 18–22. 9 indexed citations
18.
Suzuki, Kazuo, et al.. (1993). Poly A-linked colorimetric microtiter plate assay for HIV reverse transcriptase. Journal of Virological Methods. 44(2-3). 189–198. 85 indexed citations
19.
Suzuki, Kazuo, et al.. (1993). Chemiluminescent Enzyme-Linked Immunoassay for Reverse Transcriptase, Illustrated by Detection of HIV Reverse Transcriptase. Analytical Biochemistry. 210(2). 277–281. 10 indexed citations
20.
Suzuki, Kazuo, et al.. (1993). Colorimetric reverse transcriptase assay for HIV-1. Journal of Virological Methods. 41(1). 21–28. 12 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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