David Schultz

5.7k total citations
69 papers, 2.2k citations indexed

About

David Schultz is a scholar working on Neurology, Molecular Biology and Ecology. According to data from OpenAlex, David Schultz has authored 69 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Neurology, 9 papers in Molecular Biology and 8 papers in Ecology. Recurrent topics in David Schultz's work include Amyotrophic Lateral Sclerosis Research (11 papers), Neurogenetic and Muscular Disorders Research (6 papers) and Parkinson's Disease Mechanisms and Treatments (5 papers). David Schultz is often cited by papers focused on Amyotrophic Lateral Sclerosis Research (11 papers), Neurogenetic and Muscular Disorders Research (6 papers) and Parkinson's Disease Mechanisms and Treatments (5 papers). David Schultz collaborates with scholars based in Australia, United States and New Zealand. David Schultz's co-authors include Seth C. Rasmussen, Justin Wageman, Gerald R. Smith, Simon F. Thrush, Andrew F. Taylor, Joanne I. Ellis, Alf Norkko, Vonda J. Cummings, JE Hewitt and Irene H. Maumenee and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

David Schultz

68 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Schultz Australia 26 648 406 307 283 279 69 2.2k
Ryo Kimura Japan 27 686 1.1× 42 0.1× 157 0.5× 192 0.7× 370 1.3× 95 2.3k
Dmitri V. Zaykin United States 23 1.1k 1.8× 105 0.3× 1.4k 4.6× 153 0.5× 195 0.7× 51 3.1k
Shinji Saitoh Japan 37 3.6k 5.5× 185 0.5× 3.4k 10.9× 204 0.7× 93 0.3× 291 6.2k
William D. Brown United States 35 309 0.5× 411 1.0× 1.1k 3.5× 230 0.8× 180 0.6× 102 3.5k
John D. McKenzie Australia 14 164 0.3× 202 0.5× 68 0.2× 192 0.7× 136 0.5× 37 1.5k
Xavier Ferrer France 31 1.1k 1.8× 718 1.8× 223 0.7× 142 0.5× 458 1.6× 127 3.3k
Turk Rhen United States 28 727 1.1× 100 0.2× 1.2k 3.8× 292 1.0× 425 1.5× 60 4.2k
Yasuo Sugiura Japan 38 1.0k 1.6× 244 0.6× 204 0.7× 246 0.9× 57 0.2× 150 4.1k
Raquel Cruz Spain 19 738 1.1× 24 0.1× 444 1.4× 51 0.2× 191 0.7× 59 1.6k
Satoshi Ishikawa Japan 29 817 1.3× 87 0.2× 296 1.0× 241 0.9× 134 0.5× 209 3.4k

Countries citing papers authored by David Schultz

Since Specialization
Citations

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

Fields of papers citing papers by David Schultz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David Schultz. 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 David Schultz. The network helps show where David Schultz may publish in the future.

Co-authorship network of co-authors of David Schultz

This figure shows the co-authorship network connecting the top 25 collaborators of David Schultz. A scholar is included among the top collaborators of David Schultz 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 David Schultz. David Schultz 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.
Schultz, David, et al.. (2023). Bias, coronavirus, nationality, gender and neurology article citation count prediction with machine learning. SHILAP Revista de lepidopterología. 3(1). 100115–100115. 3 indexed citations
2.
Zhu, Linyi, Joshua G. Kovoor, Brandon Stretton, et al.. (2023). A vital parameter? Systematic review of spirometry in evaluation for intensive care unit admission and intubation and ventilation for Guillain-Barré syndrome. Journal of Clinical Neuroscience. 113. 13–19. 1 indexed citations
3.
Kovoor, Joshua G., et al.. (2023). Verapamil in the treatment of reversible cerebral vasoconstriction syndrome: A systematic review. Journal of Clinical Neuroscience. 113. 130–141. 5 indexed citations
4.
Hannaford, Andrew, Karen Byth, Nathan Pavey, et al.. (2022). Clinical and neurophysiological biomarkers of disease progression in amyotrophic lateral sclerosis. Muscle & Nerve. 67(1). 17–24. 4 indexed citations
5.
Bacchi, Stephen, Joshua G. Kovoor, Aashray Gupta, et al.. (2022). Factors associated with delay to carotid endarterectomy for acute ischaemic stroke in South Australia: A multicentre retrospective cohort study. Journal of Stroke and Cerebrovascular Diseases. 32(3). 106916–106916. 2 indexed citations
6.
Vucic, Steve, Robert D. Henderson, Susan Mathers, et al.. (2021). Safety and efficacy of dimethyl fumarate in ALS: randomised controlled study. Annals of Clinical and Translational Neurology. 8(10). 1991–1999. 24 indexed citations
7.
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Schultz, David, et al.. (2019). Factors contributing to delays in the diagnosis of motor neuron disease – A South Australian study. Journal of the Neurological Sciences. 407. 116540–116540. 2 indexed citations
10.
Stein, Stephen W., et al.. (2019). The Influence of Electrostatic Controls on MDI Size Distribution Measurements. AAPS PharmSciTech. 20(5). 170–170. 4 indexed citations
11.
Talman, Paul, Thi Duong, Steve Vucic, et al.. (2016). Identification and outcomes of clinical phenotypes in amyotrophic lateral sclerosis/motor neuron disease: Australian National Motor Neuron Disease observational cohort. BMJ Open. 6(9). e012054–e012054. 48 indexed citations
12.
Yuan, Rong, Daniel M. Gatti, Rebecca A. Krier-Burris, et al.. (2014). Genetic Regulation of Female Sexual Maturation and Longevity Through Circulating IGF1. The Journals of Gerontology Series A. 70(7). 817–826. 7 indexed citations
13.
Kumar, Kishore R., et al.. (2009). Transient Changes on Brain Magnetic Resonance Imaging in a Patient With Sturge-Weber Syndrome Presenting With Hemiparesis. The Neurologist. 15(6). 351–354. 12 indexed citations
14.
Appukuttan, Binoy, Charles Runckel, Trevor J. McFarland, et al.. (2007). Analysis and Evolution of the LOC387715 Gene and HTRA1 Promoter Sequence Within Primates. Investigative Ophthalmology & Visual Science. 48(13). 3788–3788. 3 indexed citations
15.
Weleber, Richard G., Jacek Majewski, David Schultz, et al.. (2003). Age-related Macular Degeneration: A Genome-wide Scan in Extended Families. Investigative Ophthalmology & Visual Science. 44(13). 1503–1503. 2 indexed citations
16.
Schultz, David, et al.. (2003). Evidence that FIBL-6 is the ARMD1 Gene. Investigative Ophthalmology & Visual Science. 44(13). 2017–2017. 4 indexed citations
17.
Suh, Mi Chung, David Schultz, & John B. Ohlrogge. (2002). What limits production of unusual monoenoic fatty acids in transgenic plants?. Planta. 215(4). 584–595. 35 indexed citations
18.
Schultz, David, Stephen M. Davis, Brian M. Tress, Christine Kilpatrick, & John King. (1996). Recanalisation and outcome cerebral venous thrombosis. Journal of Clinical Neuroscience. 3(2). 133–138. 9 indexed citations
19.
Hayball, Peter J., et al.. (1992). High dose oral methylprednisolone in patients with rheumatoid arthritis: pharmacokinetics and clinical response. European Journal of Clinical Pharmacology. 42(1). 85–88. 28 indexed citations
20.
Ahern, Michael, Muriel Soden, David Schultz, & Michael Clark. (1991). The musculo‐skeletal examination. Australian and New Zealand Journal of Medicine. 21(3). 303–306. 46 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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