Daniel J. Mason

1.0k total citations
14 papers, 513 citations indexed

About

Daniel J. Mason is a scholar working on Molecular Biology, Organic Chemistry and Computational Theory and Mathematics. According to data from OpenAlex, Daniel J. Mason has authored 14 papers receiving a total of 513 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 5 papers in Organic Chemistry and 4 papers in Computational Theory and Mathematics. Recurrent topics in Daniel J. Mason's work include Synthesis and biological activity (4 papers), Computational Drug Discovery Methods (4 papers) and Protein Structure and Dynamics (3 papers). Daniel J. Mason is often cited by papers focused on Synthesis and biological activity (4 papers), Computational Drug Discovery Methods (4 papers) and Protein Structure and Dynamics (3 papers). Daniel J. Mason collaborates with scholars based in United Kingdom, United States and India. Daniel J. Mason's co-authors include Andreas Bender, Rajarshi Guha, Richard P. Lewis, Murat Cokol, Basappa Basappa, Kanchugarakoppal S. Rangappa, Krishna C. Bulusu, Eugene Muratov, Chakrabhavi Dhananjaya Mohan and Shobith Rangappa and has published in prestigious journals such as PLoS ONE, Journal of Controlled Release and Journal of Medicinal Chemistry.

In The Last Decade

Daniel J. Mason

14 papers receiving 501 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel J. Mason United Kingdom	11	313	152	140	54	51	14	513
Berin Karaman Germany	14	314 1.0×	125 0.8×	165 1.2×	50 0.9×	96 1.9×	22	781
Zhenting Gao China	7	360 1.2×	164 1.1×	68 0.5×	47 0.9×	48 0.9×	11	534
Michael Hale United States	13	329 1.1×	75 0.5×	240 1.7×	67 1.2×	66 1.3×	18	650
Rashmi Dahiya India	11	324 1.0×	92 0.6×	56 0.4×	41 0.8×	64 1.3×	16	463
Jessica E. Friedman United States	6	331 1.1×	78 0.5×	101 0.7×	52 1.0×	87 1.7×	7	625
Nathalie Lagarde France	15	310 1.0×	292 1.9×	124 0.9×	90 1.7×	59 1.2×	34	593
Inés Maestro Spain	10	234 0.7×	170 1.1×	82 0.6×	33 0.6×	27 0.5×	11	613
Tomomi Noguchi‐Yachide Japan	17	332 1.1×	45 0.3×	208 1.5×	50 0.9×	109 2.1×	36	631
Kalaimathy Singaravelu Finland	8	288 0.9×	153 1.0×	75 0.5×	30 0.6×	40 0.8×	17	527
Tomohiro Sato Japan	15	428 1.4×	240 1.6×	64 0.5×	67 1.2×	48 0.9×	36	716

Countries citing papers authored by Daniel J. Mason

Since Specialization

Citations

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

Fields of papers citing papers by Daniel J. Mason

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel J. Mason

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

All Works

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14 of 14 papers shown

Chadwick, Wayne, Patricia Cogram, Daniel J. Mason, et al.. (2023). A novel combination treatment for fragile X syndrome predicted using computational methods. Brain Communications. 6(1). fcad353–fcad353. 2 indexed citations

Tranfaglia, Michael R., Daniel J. Mason, David T. Brown, et al.. (2018). Repurposing available drugs for neurodevelopmental disorders: The fragile X experience. Neuropharmacology. 147. 74–86. 25 indexed citations

Mason, Daniel J., Richard T. Eastman, Richard P. Lewis, et al.. (2018). Using Machine Learning to Predict Synergistic Antimalarial Compound Combinations With Novel Structures. Frontiers in Pharmacology. 9. 1096–1096. 33 indexed citations

Mohan, Chakrabhavi Dhananjaya, Shobith Rangappa, Daniel J. Mason, et al.. (2017). Identification of Novel Class of Triazolo-Thiadiazoles as Potent Inhibitors of Human Heparanase and their Anticancer Activity. BMC Cancer. 17(1). 235–235. 45 indexed citations

Mason, Daniel J., Ian P. Stott, Zohar Weinstein, et al.. (2017). Prediction of Antibiotic Interactions Using Descriptors Derived from Molecular Structure. Journal of Medicinal Chemistry. 60(9). 3902–3912. 38 indexed citations

Bulusu, Krishna C., Rajarshi Guha, Daniel J. Mason, et al.. (2015). Modelling of compound combination effects and applications to efficacy and toxicity: state-of-the-art, challenges and perspectives. Drug Discovery Today. 21(2). 225–238. 138 indexed citations

Srinivas, Vivek, Chakrabhavi Dhananjaya Mohan, Shobith Rangappa, et al.. (2015). Synthesis and characterization of novel oxazines and demonstration that they specifically target cyclooxygenase 2. Bioorganic & Medicinal Chemistry Letters. 25(15). 2931–2936. 41 indexed citations

Mason, Daniel J., et al.. (2015). Cardiac gene therapy: Recent advances and future directions. Journal of Controlled Release. 215. 101–111. 26 indexed citations

Kasim, Adetayo, Sonia Liggi, Suzanne Brewerton, et al.. (2014). Connecting gene expression data from connectivity map and in silico target predictions for small molecule mechanism-of-action analysis. Molecular BioSystems. 11(1). 86–96. 21 indexed citations

10.

Mohan, Chakrabhavi Dhananjaya, Feng Li, Xiaoyun Dai, et al.. (2014). Novel synthetic coumarins that targets NF-κB in Hepatocellular carcinoma. Bioorganic & Medicinal Chemistry Letters. 25(4). 893–897. 61 indexed citations

11.

Bharathkumar, Hanumantharayappa, Mahalingam S. Sundaram, Swamy Jagadish, et al.. (2014). Novel Benzoxazine-Based Aglycones Block Glucose Uptake In Vivo by Inhibiting Glycosidases. PLoS ONE. 9(7). e102759–e102759. 16 indexed citations

12.

Garg, Manoj, Chakrabhavi Dhananjaya Mohan, Vikas Madan, et al.. (2014). Synthesis and Characterization of Novel 2-Amino-Chromene-Nitriles that Target Bcl-2 in Acute Myeloid Leukemia Cell Lines. PLoS ONE. 9(9). e107118–e107118. 55 indexed citations

13.

Rosenbaum, Jerry L., et al.. (1960). THE EFFECT OF DISODIUM EDTA ON DIGITALIS INTOXICATION. The American Journal of the Medical Sciences. 240(1). 77–84. 7 indexed citations

14.

Mason, Daniel J., et al.. (1959). Pregnancy in a noncommunicating rudimentary horn. American Journal of Obstetrics and Gynecology. 78(6). 1202–1204. 5 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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