Nicholas J. Youngman

543 total citations
22 papers, 451 citations indexed

About

Nicholas J. Youngman is a scholar working on Genetics, Virology and Paleontology. According to data from OpenAlex, Nicholas J. Youngman has authored 22 papers receiving a total of 451 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Genetics, 15 papers in Virology and 12 papers in Paleontology. Recurrent topics in Nicholas J. Youngman's work include Venomous Animal Envenomation and Studies (22 papers), Rabies epidemiology and control (15 papers) and Marine Invertebrate Physiology and Ecology (12 papers). Nicholas J. Youngman is often cited by papers focused on Venomous Animal Envenomation and Studies (22 papers), Rabies epidemiology and control (15 papers) and Marine Invertebrate Physiology and Ecology (12 papers). Nicholas J. Youngman collaborates with scholars based in Australia, Mexico and Netherlands. Nicholas J. Youngman's co-authors include Bryan G. Fry, Christina N. Zdenek, James Dobson, Bianca op den Brouw, Nathan Dunstan, Mátyás A. Bittenbinder, Richard J. Harris, Luke Allen, Freek J. Vonk and Andrew A. Walker and has published in prestigious journals such as International Journal of Molecular Sciences, Molecules and Toxicology Letters.

In The Last Decade

Nicholas J. Youngman

22 papers receiving 448 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nicholas J. Youngman Australia 13 431 232 207 172 54 22 451
Diana Mora-Obando Costa Rica 11 429 1.0× 251 1.1× 159 0.8× 192 1.1× 52 1.0× 17 459
Bianca op den Brouw Australia 14 604 1.4× 398 1.7× 297 1.4× 144 0.8× 114 2.1× 17 621
Jordan Debono Australia 15 544 1.3× 324 1.4× 276 1.3× 164 1.0× 119 2.2× 18 573
Nathaniel Frank Australia 11 348 0.8× 206 0.9× 175 0.8× 120 0.7× 55 1.0× 15 375
Theo Tasoulis Australia 7 596 1.4× 328 1.4× 186 0.9× 272 1.6× 62 1.1× 14 613
Jordi Durbán Spain 8 388 0.9× 229 1.0× 106 0.5× 160 0.9× 114 2.1× 9 427
Melisa Bénard-Valle Mexico 17 573 1.3× 280 1.2× 226 1.1× 244 1.4× 75 1.4× 36 597
Stephen Earl Australia 10 353 0.8× 164 0.7× 85 0.4× 181 1.1× 36 0.7× 10 383
Abel Dı́az Colombia 6 332 0.8× 227 1.0× 94 0.5× 110 0.6× 39 0.7× 7 352
Iwan Hendrikx Australia 11 447 1.0× 225 1.0× 171 0.8× 163 0.9× 133 2.5× 11 480

Countries citing papers authored by Nicholas J. Youngman

Since Specialization
Citations

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

Fields of papers citing papers by Nicholas J. Youngman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicholas J. Youngman

This figure shows the co-authorship network connecting the top 25 collaborators of Nicholas J. Youngman. A scholar is included among the top collaborators of Nicholas J. Youngman 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 Nicholas J. Youngman. Nicholas J. Youngman 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
3.
Youngman, Nicholas J., Édgar Neri-Castro, Matthew R. Lewin, et al.. (2022). Differential Antivenom and Small-Molecule Inhibition of Novel Coagulotoxic Variations in Atropoides, Cerrophidion, Metlapilcoatlus, and Porthidium American Viperid Snake Venoms. Toxins. 14(8). 511–511. 21 indexed citations
6.
Youngman, Nicholas J., et al.. (2022). Untangling interactions between Bitis vipers and their prey using coagulotoxicity against diverse vertebrate plasmas. Toxicon. 216. 37–44. 5 indexed citations
7.
Harris, Richard J., et al.. (2021). Getting stoned: Characterisation of the coagulotoxic and neurotoxic effects of reef stonefish (Synanceia verrucosa) venom. Toxicology Letters. 346. 16–22. 15 indexed citations
8.
Youngman, Nicholas J., et al.. (2021). Widespread and Differential Neurotoxicity in Venoms from the Bitis Genus of Viperid Snakes. Neurotoxicity Research. 39(3). 697–704. 12 indexed citations
10.
Zdenek, Christina N., Nicholas J. Youngman, James Dobson, et al.. (2020). Anticoagulant activity of black snake (Elapidae: Pseudechis) venoms: Mechanisms, potency, and antivenom efficacy. Toxicology Letters. 330. 176–184. 29 indexed citations
11.
Harris, Richard J., Nicholas J. Youngman, Christina N. Zdenek, et al.. (2020). Assessing the Binding of Venoms from Aquatic Elapids to the Nicotinic Acetylcholine Receptor Orthosteric Site of Different Prey Models. International Journal of Molecular Sciences. 21(19). 7377–7377. 18 indexed citations
12.
Zdenek, Christina N., James Dobson, Nicholas J. Youngman, et al.. (2020). A Web of Coagulotoxicity: Failure of Antivenom to Neutralize the Destructive (Non-Clotting) Fibrinogenolytic Activity of Loxosceles and Sicarius Spider Venoms. Toxins. 12(2). 91–91. 11 indexed citations
13.
Youngman, Nicholas J., et al.. (2020). Utilising venom activity to infer dietary composition of the Kenyan horned viper (Bitis worthingtoni). Comparative Biochemistry and Physiology Part C Toxicology & Pharmacology. 240. 108921–108921. 16 indexed citations
14.
Youngman, Nicholas J., et al.. (2020). Varespladib (LY315920) neutralises phospholipase A2 mediated prothrombinase-inhibition induced by Bitis snake venoms. Comparative Biochemistry and Physiology Part C Toxicology & Pharmacology. 236. 108818–108818. 34 indexed citations
15.
Dashevsky, Daniel, Melisa Bénard-Valle, Édgar Neri-Castro, et al.. (2020). Anticoagulant Micrurus venoms: Targets and neutralization. Toxicology Letters. 337. 91–97. 18 indexed citations
16.
Zdenek, Christina N., Richard J. Harris, Sanjaya Kuruppu, et al.. (2019). A Taxon-Specific and High-Throughput Method for Measuring Ligand Binding to Nicotinic Acetylcholine Receptors. Toxins. 11(10). 600–600. 34 indexed citations
17.
Zdenek, Christina N., Bianca op den Brouw, Daniel Dashevsky, et al.. (2019). Clinical implications of convergent procoagulant toxicity and differential antivenom efficacy in Australian elapid snake venoms. Toxicology Letters. 316. 171–182. 30 indexed citations
18.
Youngman, Nicholas J., Jordan Debono, James Dobson, et al.. (2019). Venomous Landmines: Clinical Implications of Extreme Coagulotoxic Diversification and Differential Neutralization by Antivenom of Venoms within the Viperid Snake Genus Bitis. Toxins. 11(7). 422–422. 38 indexed citations
19.
Bittenbinder, Mátyás A., Christina N. Zdenek, Bianca op den Brouw, et al.. (2018). Coagulotoxic Cobras: Clinical Implications of Strong Anticoagulant Actions of African Spitting Naja Venoms That Are Not Neutralised by Antivenom but Are by LY315920 (Varespladib). Toxins. 10(12). 516–516. 85 indexed citations
20.
Youngman, Nicholas J., Christina N. Zdenek, James Dobson, et al.. (2018). Mud in the blood: Novel potent anticoagulant coagulotoxicity in the venoms of the Australian elapid snake genus Denisonia (mud adders) and relative antivenom efficacy. Toxicology Letters. 302. 1–6. 26 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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