Daniel C. Whitehead

2.9k total citations
83 papers, 2.3k citations indexed

About

Daniel C. Whitehead is a scholar working on Organic Chemistry, Biomaterials and Inorganic Chemistry. According to data from OpenAlex, Daniel C. Whitehead has authored 83 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Organic Chemistry, 19 papers in Biomaterials and 17 papers in Inorganic Chemistry. Recurrent topics in Daniel C. Whitehead's work include Vanadium and Halogenation Chemistry (14 papers), Oxidative Organic Chemistry Reactions (10 papers) and Advanced Cellulose Research Studies (10 papers). Daniel C. Whitehead is often cited by papers focused on Vanadium and Halogenation Chemistry (14 papers), Oxidative Organic Chemistry Reactions (10 papers) and Advanced Cellulose Research Studies (10 papers). Daniel C. Whitehead collaborates with scholars based in United States, Ecuador and Brazil. Daniel C. Whitehead's co-authors include Babak Borhan, Arvind Jaganathan, Roozbeh Yousefi, Frank Alexis, Richard J. Staples, Mohamed F. Attia, Atefeh Garzan, Laura Schaefer, Robert A. Britton and Thomas A. Auchtung and has published in prestigious journals such as Journal of the American Chemical Society, Angewandte Chemie International Edition and Chemical Communications.

In The Last Decade

Daniel C. Whitehead

82 papers receiving 2.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel C. Whitehead United States 26 1.1k 738 413 266 239 83 2.3k
Patrick H. Dussault United States 33 2.2k 2.1× 250 0.3× 1.3k 3.2× 399 1.5× 461 1.9× 124 4.7k
Mohmmad Younus Wani Saudi Arabia 26 1.1k 1.1× 306 0.4× 345 0.8× 575 2.2× 322 1.3× 78 2.5k
Ameer Fawad Zahoor Pakistan 34 1.8k 1.7× 167 0.2× 670 1.6× 199 0.7× 221 0.9× 201 3.2k
Zyta M. Ziora Australia 32 717 0.7× 125 0.2× 941 2.3× 595 2.2× 458 1.9× 84 3.5k
Jagjit S. Yadav United States 46 3.3k 3.1× 555 0.8× 1.4k 3.4× 449 1.7× 450 1.9× 203 6.1k
Luís Henrique Mendes da Silva Brazil 40 936 0.9× 144 0.2× 548 1.3× 1.2k 4.7× 639 2.7× 179 4.7k
Dong Li China 24 1.1k 1.0× 180 0.2× 267 0.6× 188 0.7× 71 0.3× 101 1.9k
Sunil K. Ghosh India 27 1.8k 1.7× 570 0.8× 516 1.2× 907 3.4× 177 0.7× 203 3.5k
Smaail Radi Morocco 37 2.5k 2.3× 500 0.7× 410 1.0× 1.6k 6.1× 138 0.6× 210 5.3k
Josef Jampílek Czechia 40 2.7k 2.5× 149 0.2× 1.6k 4.0× 579 2.2× 440 1.8× 284 5.2k

Countries citing papers authored by Daniel C. Whitehead

Since Specialization
Citations

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

Fields of papers citing papers by Daniel C. Whitehead

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel C. Whitehead

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel C. Whitehead. A scholar is included among the top collaborators of Daniel C. Whitehead 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 Daniel C. Whitehead. Daniel C. Whitehead 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.
Yan, Victoria C., Cong-Dat Pham, Florian L. Müller, et al.. (2024). Enolase inhibitors as therapeutic leads for Naegleria fowleri infection. PLoS Pathogens. 20(8). e1012412–e1012412. 6 indexed citations
3.
Attia, Mohamed F., Edikan A. Ogunnaike, Nancy M. Elbaz, et al.. (2023). Enhancing drug delivery with supramolecular amphiphilic macrocycle nanoparticles: selective targeting of CDK4/6 inhibitor palbociclib to melanoma. Biomaterials Science. 12(3). 725–737. 1 indexed citations
4.
Alexis, Frank, et al.. (2023). Removal of metals and inorganics from rendered fat using polyamine-modified cellulose nanocrystals. RSC Sustainability. 1(5). 1184–1191. 1 indexed citations
5.
Anderson, Heidi, Meredith T. Morris, Victoria C. Yan, et al.. (2023). Enolase Inhibitors as Early Lead Therapeutics against Trypanosoma brucei. Pathogens. 12(11). 1290–1290.
6.
Martín‐Sampedro, Raquel, Ralph Santos‐Oliveira, Mohamed F. Attia, et al.. (2023). Lignocellulosic-Based Nanoparticles with Photoluminescent Properties for Bioimaging. ACS Applied Materials & Interfaces. 15(26). 31320–31329. 5 indexed citations
8.
Attia, Mohamed F., Roman Akasov, Nancy M. Elbaz, et al.. (2022). Radiopaque Iodosilane-Coated Lipid Hybrid Nanoparticle Contrast Agent for Dual-Modality Ultrasound and X-ray Bioimaging. ACS Applied Materials & Interfaces. 14(49). 54389–54400. 6 indexed citations
9.
Pinto, Suyene Rocha, Alexis Debut, Mohamed F. Attia, et al.. (2021). Polytetrafluoroethylene-like Nanoparticles as a Promising Contrast Agent for Dual Modal Ultrasound and X-ray Bioimaging. ACS Biomaterials Science & Engineering. 7(3). 1181–1191. 13 indexed citations
10.
Debut, Alexis, Mohamed F. Attia, Ralph Santos‐Oliveira, et al.. (2021). Bimodal Ultrasound and X-ray Bioimaging Properties of Particulate Calcium Fluoride Biomaterial. Molecules. 26(18). 5447–5447. 11 indexed citations
11.
Zamora‐Ledezma, Camilo, et al.. (2021). Persistent organic pollutants: The trade-off between potential risks and sustainable remediation methods. Journal of Environmental Management. 300. 113737–113737. 77 indexed citations
12.
Whitehead, Daniel C., et al.. (2020). Toxoplasma gondii requires its plant-like heme biosynthesis pathway for infection. PLoS Pathogens. 16(5). e1008499–e1008499. 31 indexed citations
13.
Vispo, Nelson Santiago, Karla Vizuete, Alexis Debut, et al.. (2020). Natural Cellulose Fibers for Surgical Suture Applications. Polymers. 12(12). 3042–3042. 29 indexed citations
14.
Attia, Mohamed F., et al.. (2020). Iodinated Polyesters with Enhanced X-ray Contrast Properties for Biomedical Imaging. Scientific Reports. 10(1). 1508–1508. 14 indexed citations
15.
Guerra, Fernanda D., et al.. (2018). Poly(amine) modified kaolinite clay for VOC capture. Chemosphere. 213. 19–24. 25 indexed citations
16.
Guerra, Fernanda D., et al.. (2015). Target‐Specific Capture of Environmentally Relevant Gaseous Aldehydes and Carboxylic Acids with Functional Nanoparticles. Chemistry - A European Journal. 21(42). 14834–14842. 25 indexed citations
17.
Harris, Michael T., et al.. (2013). Exploring the mode of action of ebselen in Trypanosoma brucei hexokinase inhibition. International Journal for Parasitology Drugs and Drug Resistance. 3. 154–160. 17 indexed citations
18.
Rogers, Steven A., et al.. (2010). Synthesis and biological evaluation of 2-aminoimidazole/carbamate hybrid anti-biofilm and anti-microbial agents. Bioorganic & Medicinal Chemistry Letters. 21(4). 1257–1260. 27 indexed citations
19.
Rogers, Steven A., et al.. (2010). Synthesis and bacterial biofilm inhibition studies of ethyl N-(2-phenethyl) carbamate derivatives. Organic & Biomolecular Chemistry. 8(17). 3857–3857. 25 indexed citations
20.
Whitehead, Daniel C., Richard J. Staples, & Babak Borhan. (2008). A simple and expedient method for the preparation of N-chlorohydantoins. Tetrahedron Letters. 50(6). 656–658. 25 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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