Patrick A. Crawford

434 total citations
10 papers, 339 citations indexed

About

Patrick A. Crawford is a scholar working on Oncology, Physiology and Molecular Biology. According to data from OpenAlex, Patrick A. Crawford has authored 10 papers receiving a total of 339 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Oncology, 4 papers in Physiology and 3 papers in Molecular Biology. Recurrent topics in Patrick A. Crawford's work include Adenosine and Purinergic Signaling (4 papers), Peptidase Inhibition and Analysis (2 papers) and Metal complexes synthesis and properties (2 papers). Patrick A. Crawford is often cited by papers focused on Adenosine and Purinergic Signaling (4 papers), Peptidase Inhibition and Analysis (2 papers) and Metal complexes synthesis and properties (2 papers). Patrick A. Crawford collaborates with scholars based in United States and United Kingdom. Patrick A. Crawford's co-authors include Terence L. Kirley, Michael W. Crowder, Narayan Prasad Sharma, Christopher A. Makaroff, Thomas M. Smith, Trinity Zang, Scott M. Belcher, Attila Zsarnovszky, Ke‐Wu Yang and Brian Bennett and has published in prestigious journals such as Journal of Biological Chemistry, Biochemistry and Neuroscience.

In The Last Decade

Patrick A. Crawford

10 papers receiving 333 citations

Peers

Patrick A. Crawford

PHYSI

GENET

ONCOL

Hyunshun Shin United States

Satomi Moriyama Japan

Arijit Das India

Iman Halvaei Iran

Tara L. Archuleta United States

M. Abashidze United States

Ulrike Theisen Germany

Tahmina Rahman United Kingdom

Vasileios I. Petrou United States

Hyunshun Shin United States

Patrick A. Crawford

28 ×0.2

PHYSI

208 ×1.7

63 ×0.7

39 ×0.9

GENET

47 ×1.2

ONCOL

Citations per year, relative to Patrick A. Crawford Patrick A. Crawford (= 1×) peers Hyunshun Shin

Countries citing papers authored by Patrick A. Crawford

Since Specialization

Citations

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

Fields of papers citing papers by Patrick A. Crawford

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Patrick A. Crawford

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

All Works

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10 of 10 papers shown

Crawford, Patrick A., P. D. Barnes, Stephan Eidenbenz, & Philip A. Wilsey. (2018). Sampling Simulation Model Profile Data for Analysis. 17–28. 1 indexed citations

Crawford, Patrick A., Stephan Eidenbenz, P. D. Barnes, & Philip A. Wilsey. (2017). Some properties of communication behaviors in discrete-event simulation models. Winter Simulation Conference. 1025–1036. 1 indexed citations

Crawford, Patrick A., et al.. (2006). Characterization of an alternative splice variant of human nucleoside triphosphate diphosphohydrolase 3 (NTPDase3): A possible modulator of nucleotidase activity and purinergic signaling. Archives of Biochemistry and Biophysics. 457(1). 7–15. 10 indexed citations

Kirley, Terence L., Patrick A. Crawford, & Thomas M. Smith. (2006). The structure of the nucleoside triphosphate diphosphohydrolases (NTPDases) as revealed by mutagenic and computational modeling analyses. Purinergic Signalling. 2(2). 379–89. 38 indexed citations

Belcher, Scott M., et al.. (2005). Immunolocalization of ecto-nucleoside triphosphate diphosphohydrolase 3 in rat brain: Implications for modulation of multiple homeostatic systems including feeding and sleep–wake behaviors. Neuroscience. 137(4). 1331–1346. 81 indexed citations

Crawford, Patrick A., Ke‐Wu Yang, Narayan Prasad Sharma, Brian Bennett, & Michael W. Crowder. (2005). Spectroscopic Studies on Cobalt(II)-Substituted Metallo-β-lactamase ImiS from Aeromonas veronii bv. sobria. Biochemistry. 44(13). 5168–5176. 52 indexed citations

Crawford, Patrick A., Narayan Prasad Sharma, Sowmya Chandrasekar, et al.. (2004). Over-expression, purification, and characterization of metallo-β-lactamase ImiS from Aeromonas veronii bv. sobria. Protein Expression and Purification. 36(2). 272–279. 46 indexed citations

Crawford, Patrick A., et al.. (2004). Bacterial expression, folding, purification and characterization of soluble NTPDase5 (CD39L4) ecto-nucleotidase. Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics. 1747(2). 251–259. 27 indexed citations

Yang, Ke‐Wu, et al.. (2003). Explaining the inhibition of glyoxalase II by 9-fluorenylmethoxycarbonyl-protected glutathione derivatives. Archives of Biochemistry and Biophysics. 414(2). 271–278. 7 indexed citations

10.

Zang, Trinity, et al.. (2001). Arabidopsis Glyoxalase II Contains a Zinc/Iron Binuclear Metal Center That Is Essential for Substrate Binding and Catalysis. Journal of Biological Chemistry. 276(7). 4788–4795. 76 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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