Kevin B. Daniel

446 total citations
9 papers, 359 citations indexed

About

Kevin B. Daniel is a scholar working on Oncology, Cancer Research and Molecular Biology. According to data from OpenAlex, Kevin B. Daniel has authored 9 papers receiving a total of 359 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Oncology, 4 papers in Cancer Research and 2 papers in Molecular Biology. Recurrent topics in Kevin B. Daniel's work include Peptidase Inhibition and Analysis (5 papers), Protease and Inhibitor Mechanisms (4 papers) and Dendrimers and Hyperbranched Polymers (2 papers). Kevin B. Daniel is often cited by papers focused on Peptidase Inhibition and Analysis (5 papers), Protease and Inhibitor Mechanisms (4 papers) and Dendrimers and Hyperbranched Polymers (2 papers). Kevin B. Daniel collaborates with scholars based in United States and United Kingdom. Kevin B. Daniel's co-authors include Seth M. Cohen, Daniel G. Anderson, Róbert Langer, Lisa R. Volpatti, Derfogail Delcassian, Abel B. Cortinas, Christian Perez, Cassandra E. Callmann, Arpita Agrawal and Marianne Manchester and has published in prestigious journals such as ACS Nano, Chemical Communications and Journal of Medicinal Chemistry.

In The Last Decade

Kevin B. Daniel

9 papers receiving 357 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kevin B. Daniel United States	8	139	82	76	72	50	9	359
Victoria Leiro Portugal	15	258 1.9×	65 0.8×	138 1.8×	86 1.2×	37 0.7×	27	471
Hardik Amin South Korea	11	111 0.8×	90 1.1×	130 1.7×	63 0.9×	40 0.8×	15	344
I. I. Tarasenko Russia	15	324 2.3×	43 0.5×	122 1.6×	106 1.5×	44 0.9×	41	535
Lars Linderoth Denmark	11	330 2.4×	73 0.9×	143 1.9×	84 1.2×	42 0.8×	14	457
Igor Grinberg Israel	14	165 1.2×	137 1.7×	152 2.0×	29 0.4×	101 2.0×	29	511
Manuel C. Martos‐Maldonado Spain	13	300 2.2×	45 0.5×	66 0.9×	163 2.3×	70 1.4×	18	433
Naomi M. Hamelmann Netherlands	11	126 0.9×	112 1.4×	180 2.4×	110 1.5×	92 1.8×	14	439
Danielle Senyschyn Australia	10	104 0.7×	80 1.0×	161 2.1×	98 1.4×	62 1.2×	15	445
Timothy P. Coleman United States	10	210 1.5×	104 1.3×	170 2.2×	41 0.6×	38 0.8×	14	468
Harmesh Aojula United Kingdom	13	316 2.3×	59 0.7×	68 0.9×	30 0.4×	25 0.5×	26	514

Countries citing papers authored by Kevin B. Daniel

Since Specialization

Citations

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

Fields of papers citing papers by Kevin B. Daniel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kevin B. Daniel

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

All Works

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9 of 9 papers shown

Volpatti, Lisa R., Abel B. Cortinas, Derfogail Delcassian, et al.. (2019). Glucose-Responsive Nanoparticles for Rapid and Extended Self-Regulated Insulin Delivery. ACS Nano. 14(1). 488–497. 138 indexed citations

Daniel, Kevin B.. (2015). Prodrug Strategies for Metalloenzyme Inhibitors and Molecular Imaging Agents. eScholarship (California Digital Library). 1 indexed citations

Daniel, Kevin B., Cassandra E. Callmann, Nathan C. Gianneschi, & Seth M. Cohen. (2015). Dual-responsive nanoparticles release cargo upon exposure to matrix metalloproteinase and reactive oxygen species. Chemical Communications. 52(10). 2126–2128. 24 indexed citations

Daniel, Kevin B., et al.. (2015). Dual-Mode HDAC Prodrug for Covalent Modification and Subsequent Inhibitor Release. Journal of Medicinal Chemistry. 58(11). 4812–4821. 36 indexed citations

Daniel, Kevin B., Arpita Agrawal, Marianne Manchester, & Seth M. Cohen. (2013). Readily Accessible Fluorescent Probes for Sensitive Biological Imaging of Hydrogen Peroxide. ChemBioChem. 14(5). 593–598. 24 indexed citations

Perez, Christian, Kevin B. Daniel, & Seth M. Cohen. (2013). Evaluating Prodrug Strategies for Esterase‐Triggered Release of Alcohols. ChemMedChem. 8(10). 1662–1667. 29 indexed citations

Daniel, Kevin B., et al.. (2011). Investigation of self-immolative linkers in the design of hydrogen peroxide activated metalloprotein inhibitors. Chemical Communications. 47(28). 7968–7968. 65 indexed citations

Daniel, Kevin B., et al.. (2010). Activation of sulfonate ester based matrix metalloproteinase proinhibitors by hydrogen peroxide. JBIC Journal of Biological Inorganic Chemistry. 16(2). 313–323. 19 indexed citations

Belle, Anna M., et al.. (2010). Probing Presynaptic Regulation of Extracellular Dopamine with Iontophoresis. ACS Chemical Neuroscience. 1(9). 627–638. 23 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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