Craig Skinner

495 total citations
16 papers, 364 citations indexed

About

Craig Skinner is a scholar working on Infectious Diseases, Endocrinology and Virology. According to data from OpenAlex, Craig Skinner has authored 16 papers receiving a total of 364 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Infectious Diseases, 12 papers in Endocrinology and 2 papers in Virology. Recurrent topics in Craig Skinner's work include Escherichia coli research studies (12 papers), Viral gastroenteritis research and epidemiology (11 papers) and Clostridium difficile and Clostridium perfringens research (4 papers). Craig Skinner is often cited by papers focused on Escherichia coli research studies (12 papers), Viral gastroenteritis research and epidemiology (11 papers) and Clostridium difficile and Clostridium perfringens research (4 papers). Craig Skinner collaborates with scholars based in United States, Egypt and China. Craig Skinner's co-authors include Xiaohua He, Stephanie Patfield, Larry H. Stanker, Kanakatte Raviprakash, Shumin Yang, Stephanie McMahon, Doris Apt, Kevin R. Porter, Juha Punnonen and Reuven Rasooly and has published in prestigious journals such as PLoS ONE, Analytical Chemistry and Antimicrobial Agents and Chemotherapy.

In The Last Decade

Craig Skinner

16 papers receiving 360 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Craig Skinner United States	10	244	179	98	69	48	16	364
Khamphouth Vongxay Laos	11	144 0.6×	66 0.4×	57 0.6×	47 0.7×	20 0.4×	16	357
Orapim Puiprom Thailand	11	172 0.7×	55 0.3×	178 1.8×	26 0.4×	47 1.0×	13	319
Sonia Agrawal United States	12	106 0.4×	84 0.5×	95 1.0×	90 1.3×	157 3.3×	19	436
Josephine Grützke Germany	10	108 0.4×	49 0.3×	91 0.9×	85 1.2×	128 2.7×	17	399
Gladys Martinetti Lucchini Switzerland	10	81 0.3×	65 0.4×	42 0.4×	36 0.5×	62 1.3×	16	302
Carlo Casanova Switzerland	11	123 0.5×	53 0.3×	45 0.5×	39 0.6×	87 1.8×	27	341
Didier Favre Switzerland	10	223 0.9×	212 1.2×	35 0.4×	62 0.9×	73 1.5×	17	442
Julia L. E. Willett United States	13	130 0.5×	298 1.7×	43 0.4×	126 1.8×	317 6.6×	21	632
Raghavan U. M. Palaniappan United States	10	253 1.0×	45 0.3×	18 0.2×	36 0.5×	46 1.0×	11	644
Edith Suzarte Portal Cuba	12	199 0.8×	144 0.8×	215 2.2×	82 1.2×	82 1.7×	40	457

Countries citing papers authored by Craig Skinner

Since Specialization

Citations

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

Fields of papers citing papers by Craig Skinner

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Craig Skinner

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

All Works

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16 of 16 papers shown

Silva, Christopher J., David L. Brandon, Craig Skinner, & Xiaohua He. (2017). Shiga toxins. DIAL (Catholic University of Leuven). 5 indexed citations

He, Xiaohua, et al.. (2016). A New Immunoassay for Detecting All Subtypes of Shiga Toxins Produced by Shiga Toxin-Producing E. coli in Ground Beef. PLoS ONE. 11(1). e0148092–e0148092. 23 indexed citations

Khalil, Rowaida, Craig Skinner, Stephanie Patfield, & Xiaohua He. (2016). Phage-mediated Shiga toxin (Stx) horizontal gene transfer and expression in non-Shiga toxigenicEnterobacterandEscherichia colistrains. Pathogens and Disease. 74(5). ftw037–ftw037. 36 indexed citations

Skinner, Craig, et al.. (2016). New Monoclonal Antibodies against a Novel Subtype of Shiga Toxin 1 Produced by Enterobacter cloacae and Their Use in Analysis of Human Serum. mSphere. 1(1). 6 indexed citations

Patfield, Stephanie, et al.. (2016). Validation of Two New Immunoassays for Sensitive Detection of a Broad Range of Shiga Toxins. 5 indexed citations

Skinner, Craig, Stephanie Patfield, Bradley Hernlem, & Xiaohua He. (2015). New Stx2e Monoclonal Antibodies for Immunological Detection and Distinction of Stx2 Subtypes. PLoS ONE. 10(7). e0132419–e0132419. 7 indexed citations

Silva, Christopher J., Melissa L. Erickson‐Beltran, Craig Skinner, Stephanie Patfield, & Xiaohua He. (2015). Mass Spectrometry-Based Method of Detecting and Distinguishing Type 1 and Type 2 Shiga-Like Toxins in Human Serum. Toxins. 7(12). 5236–5253. 6 indexed citations

Skinner, Craig, Guodong Zhang, Stephanie Patfield, & Xiaohua He. (2015). An In Vitro Combined Antibiotic-Antibody Treatment Eliminates Toxicity from Shiga Toxin-Producing Escherichia coli. Antimicrobial Agents and Chemotherapy. 59(9). 5435–5444. 13 indexed citations

Skinner, Craig, Stephanie Patfield, Larry H. Stanker, Pina M. Fratamico, & Xiaohua He. (2014). New High-Affinity Monoclonal Antibodies against Shiga Toxin 1 Facilitate the Detection of Hybrid Stx1/Stx2 In Vivo. PLoS ONE. 9(6). e99854–e99854. 32 indexed citations

10.

Gehring, Andrew, Xiaohua He, Pina M. Fratamico, et al.. (2014). A High-Throughput, Precipitating Colorimetric Sandwich ELISA Microarray for Shiga Toxins. Toxins. 6(6). 1855–1872. 5 indexed citations

11.

Silva, Christopher J., Melissa L. Erickson‐Beltran, Craig Skinner, et al.. (2014). Safe and Effective Means of Detecting and Quantitating Shiga-Like Toxins in Attomole Amounts. Analytical Chemistry. 86(10). 4698–4706. 14 indexed citations

12.

Skinner, Craig, Stephanie Patfield, Larry H. Stanker, & Xiaohua He. (2013). Development of Monoclonal Antibodies and Immunoassays for Sensitive and Specific Detection of Shiga Toxin Stx2f. PLoS ONE. 8(9). e76563–e76563. 20 indexed citations

13.

Skinner, Craig, Stephanie McMahon, Reuven Rasooly, John M. Carter, & Xiaohua He. (2013). Purification and Characterization of Shiga Toxin 2f, an Immunologically Unrelated Subtype of Shiga Toxin 2. PLoS ONE. 8(3). e59760–e59760. 29 indexed citations

14.

He, Xiaohua, et al.. (2012). Development and characterization of monoclonal antibodies against Shiga toxin 2 and their application for toxin detection in milk. Journal of Immunological Methods. 389(1-2). 18–28. 35 indexed citations

15.

Raviprakash, Kanakatte, Doris Apt, Craig Skinner, et al.. (2006). A chimeric tetravalent dengue DNA vaccine elicits neutralizing antibody to all four virus serotypes in rhesus macaques. Virology. 353(1). 166–173. 54 indexed citations

16.

Apt, Doris, Kanakatte Raviprakash, Shumin Yang, et al.. (2005). Tetravalent neutralizing antibody response against four dengue serotypes by a single chimeric dengue envelope antigen. Vaccine. 24(3). 335–344. 74 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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