Chad C. Black

893 total citations
9 papers, 434 citations indexed

About

Chad C. Black is a scholar working on Infectious Diseases, Molecular Biology and Clinical Biochemistry. According to data from OpenAlex, Chad C. Black has authored 9 papers receiving a total of 434 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Infectious Diseases, 7 papers in Molecular Biology and 4 papers in Clinical Biochemistry. Recurrent topics in Chad C. Black's work include Bacterial biofilms and quorum sensing (7 papers), Antimicrobial Resistance in Staphylococcus (6 papers) and Bacterial Identification and Susceptibility Testing (4 papers). Chad C. Black is often cited by papers focused on Bacterial biofilms and quorum sensing (7 papers), Antimicrobial Resistance in Staphylococcus (6 papers) and Bacterial Identification and Susceptibility Testing (4 papers). Chad C. Black collaborates with scholars based in United States, Netherlands and Switzerland. Chad C. Black's co-authors include Samar M. Solyman, David A. Bemis, Stephen A. Kania, Yonas A. Alamneh, Daniel V. Zurawski, Amy M. Woron, Vincent Perreten, Jaap A. Wagenaar, Engeline van Duijkeren and Ricardo Videla and has published in prestigious journals such as PLoS ONE, Journal of Clinical Microbiology and Antimicrobial Agents and Chemotherapy.

In The Last Decade

Chad C. Black

9 papers receiving 427 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chad C. Black United States 8 265 241 126 76 68 9 434
Elizabeth G. Aarag Fredheim Norway 12 295 1.1× 220 0.9× 94 0.7× 93 1.2× 82 1.2× 21 546
Valéria Cataneli Pereira Brazil 14 266 1.0× 294 1.2× 142 1.1× 48 0.6× 37 0.5× 37 500
Babak Khoramian Iran 12 251 0.9× 167 0.7× 80 0.6× 66 0.9× 121 1.8× 34 507
Marina Farrel Côrtes Brazil 12 230 0.9× 244 1.0× 72 0.6× 55 0.7× 97 1.4× 37 494
Katsuhiro Sato Japan 4 243 0.9× 339 1.4× 138 1.1× 39 0.5× 57 0.8× 6 468
E.C. Deasy Ireland 8 255 1.0× 357 1.5× 176 1.4× 41 0.5× 48 0.7× 9 454
Henning Büttner Germany 14 377 1.4× 344 1.4× 80 0.6× 110 1.4× 143 2.1× 29 682
Adilson de Oliveira Brazil 10 268 1.0× 218 0.9× 109 0.9× 53 0.7× 27 0.4× 15 407
Wessam Abdelhady United States 15 287 1.1× 364 1.5× 102 0.8× 87 1.1× 112 1.6× 25 557
Stefanie Scherpe Germany 7 446 1.7× 407 1.7× 235 1.9× 102 1.3× 57 0.8× 7 696

Countries citing papers authored by Chad C. Black

Since Specialization
Citations

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

Fields of papers citing papers by Chad C. Black

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chad C. Black. 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 Chad C. Black. The network helps show where Chad C. Black may publish in the future.

Co-authorship network of co-authors of Chad C. Black

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

All Works

9 of 9 papers shown
1.
Vanachayangkul, Pattaraporn, Rawiwan Im‐Erbsin, Anchalee Tungtaeng, et al.. (2020). Safety, Pharmacokinetics, and Activity of High-Dose Ivermectin and Chloroquine against the Liver Stage of Plasmodium cynomolgi Infection in Rhesus Macaques. Antimicrobial Agents and Chemotherapy. 64(9). 19 indexed citations
2.
Zurawski, Daniel V., Chad C. Black, Yonas A. Alamneh, et al.. (2018). A Porcine Wound Model of Acinetobacter baumannii Infection. Advances in Wound Care. 8(1). 14–27. 23 indexed citations
3.
Kaplan, Jeffrey B., et al.. (2018). Extracellular polymeric substance (EPS)-degrading enzymes reduce staphylococcal surface attachment and biocide resistance on pig skin in vivo. PLoS ONE. 13(10). e0205526–e0205526. 65 indexed citations
4.
Thompson, Mitchell G., Vu Truong‐Le, Yonas A. Alamneh, et al.. (2015). Evaluation of Gallium Citrate Formulations against a Multidrug-Resistant Strain of Klebsiella pneumoniae in a Murine Wound Model of Infection. Antimicrobial Agents and Chemotherapy. 59(10). 6484–6493. 38 indexed citations
5.
Thompson, Mitchell G., Chad C. Black, Rebecca L. Pavlicek, et al.. (2013). Validation of a Novel Murine Wound Model of Acinetobacter baumannii Infection. Antimicrobial Agents and Chemotherapy. 58(3). 1332–1342. 66 indexed citations
6.
Solyman, Samar M., Chad C. Black, Birgitta Duim, et al.. (2012). Multilocus Sequence Typing for Characterization of Staphylococcus pseudintermedius. Journal of Clinical Microbiology. 51(1). 306–310. 120 indexed citations
7.
Black, Chad C., Samar M. Solyman, Rebecca P. Wilkes, et al.. (2011). The role of mecA and blaZ regulatory elements in mecA expression by regional clones of methicillin-resistant Staphylococcus pseudintermedius. Veterinary Microbiology. 151(3-4). 345–353. 24 indexed citations
8.
Black, Chad C.. (2010). Methicillin Resistance in Staphylococcus pseudintermedius. 22(2). 109–14. 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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