Cameron T. McDaniel

545 total citations
9 papers, 406 citations indexed

About

Cameron T. McDaniel is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Environmental Engineering. According to data from OpenAlex, Cameron T. McDaniel has authored 9 papers receiving a total of 406 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Pulmonary and Respiratory Medicine and 3 papers in Environmental Engineering. Recurrent topics in Cameron T. McDaniel's work include Bacterial biofilms and quorum sensing (5 papers), Cystic Fibrosis Research Advances (3 papers) and Microbial Fuel Cells and Bioremediation (3 papers). Cameron T. McDaniel is often cited by papers focused on Bacterial biofilms and quorum sensing (5 papers), Cystic Fibrosis Research Advances (3 papers) and Microbial Fuel Cells and Bioremediation (3 papers). Cameron T. McDaniel collaborates with scholars based in United States, Canada and China. Cameron T. McDaniel's co-authors include Daniel J. Hassett, Chaolin Tan, Xiaoyu Tian, Tingyue Gu, Minghua Zhou, Ming Li, Warunya Panmanee, Shengchang Su, Michael J. Schurr and John D. Lipscomb and has published in prestigious journals such as PLoS ONE, The Journal of the Acoustical Society of America and Frontiers in Microbiology.

In The Last Decade

Cameron T. McDaniel

9 papers receiving 401 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cameron T. McDaniel United States 7 257 194 103 83 45 9 406
Fernanda Jiménez Otero United States 7 289 1.1× 139 0.7× 38 0.4× 158 1.9× 52 1.2× 8 467
Lucinda Elizabeth Doyle Singapore 8 333 1.3× 206 1.1× 72 0.7× 86 1.0× 31 0.7× 13 426
Krishnakumar Sivakumar Singapore 8 152 0.6× 99 0.5× 48 0.5× 112 1.3× 29 0.6× 10 309
J. Niessen Germany 7 335 1.3× 267 1.4× 157 1.5× 83 1.0× 47 1.0× 11 485
Sujala T. Sultana United States 8 87 0.3× 73 0.4× 19 0.2× 146 1.8× 16 0.4× 9 360
Kyungmi Chung Japan 7 243 0.9× 181 0.9× 83 0.8× 71 0.9× 17 0.4× 8 375
Fariza Ammam United Kingdom 8 262 1.0× 90 0.5× 122 1.2× 73 0.9× 165 3.7× 9 518
David Ranava France 9 96 0.4× 79 0.4× 12 0.1× 155 1.9× 63 1.4× 12 422
Raphaël Rousseau France 9 395 1.5× 279 1.4× 154 1.5× 18 0.2× 83 1.8× 15 503
Elsemiek Croese Netherlands 6 267 1.0× 150 0.8× 88 0.9× 12 0.1× 74 1.6× 9 329

Countries citing papers authored by Cameron T. McDaniel

Since Specialization
Citations

This map shows the geographic impact of Cameron T. McDaniel'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 Cameron T. McDaniel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cameron T. McDaniel more than expected).

Fields of papers citing papers by Cameron T. McDaniel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cameron T. McDaniel. 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 Cameron T. McDaniel. The network helps show where Cameron T. McDaniel may publish in the future.

Co-authorship network of co-authors of Cameron T. McDaniel

This figure shows the co-authorship network connecting the top 25 collaborators of Cameron T. McDaniel. A scholar is included among the top collaborators of Cameron T. McDaniel 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 Cameron T. McDaniel. Cameron T. McDaniel 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.
2.
Lafond, Maxime, Himanshu Shekhar, Warunya Panmanee, et al.. (2020). Bactericidal Activity of Lipid-Shelled Nitric Oxide-Loaded Microbubbles. Frontiers in Pharmacology. 10. 1540–1540. 13 indexed citations
3.
4.
Li, Ming, Minghua Zhou, Xiaoyu Tian, et al.. (2018). Microbial fuel cell (MFC) power performance improvement through enhanced microbial electrogenicity. Biotechnology Advances. 36(4). 1316–1327. 269 indexed citations
5.
McDaniel, Cameron T., Warunya Panmanee, Ralph J. Panos, et al.. (2018). A Comparison between Two Pathophysiologically Different yet Microbiologically Similar Lung Diseases: Cystic Fibrosis and Chronic Obstructive Pulmonary Disease. PubMed. 5(2). 22 indexed citations
6.
Shekhar, Himanshu, Arunkumar Palaniappan, Cameron T. McDaniel, Daniel J. Hassett, & Christy K. Holland. (2018). Characterization of lipid-encapsulated microbubbles for delivery of nitric oxide. The Journal of the Acoustical Society of America. 144(3_Supplement). 1825–1825. 3 indexed citations
7.
Panmanee, Warunya, et al.. (2017). Effect of impaired twitching motility and biofilm dispersion on performance of Pseudomonas aeruginosa-powered microbial fuel cells. Journal of Industrial Microbiology & Biotechnology. 45(2). 103–109. 14 indexed citations
8.
McDaniel, Cameron T., Shengchang Su, Warunya Panmanee, et al.. (2016). A Putative ABC Transporter Permease Is Necessary for Resistance to Acidified Nitrite and EDTA in Pseudomonas aeruginosa under Aerobic and Anaerobic Planktonic and Biofilm Conditions. Frontiers in Microbiology. 7. 291–291. 22 indexed citations
9.
Su, Shengchang, Warunya Panmanee, Jeffrey J. Wilson, et al.. (2014). Catalase (KatA) Plays a Role in Protection against Anaerobic Nitric Oxide in Pseudomonas aeruginosa. PLoS ONE. 9(3). e91813–e91813. 48 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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