David H. Small

10.9k total citations · 1 hit paper
185 papers, 8.1k citations indexed

About

David H. Small is a scholar working on Physiology, Molecular Biology and Pharmacology. According to data from OpenAlex, David H. Small has authored 185 papers receiving a total of 8.1k indexed citations (citations by other indexed papers that have themselves been cited), including 108 papers in Physiology, 88 papers in Molecular Biology and 56 papers in Pharmacology. Recurrent topics in David H. Small's work include Alzheimer's disease research and treatments (107 papers), Cholinesterase and Neurodegenerative Diseases (56 papers) and Computational Drug Discovery Methods (32 papers). David H. Small is often cited by papers focused on Alzheimer's disease research and treatments (107 papers), Cholinesterase and Neurodegenerative Diseases (56 papers) and Computational Drug Discovery Methods (32 papers). David H. Small collaborates with scholars based in Australia, United States and Germany. David H. Small's co-authors include Domenico Giannone, Lucrezia Reichlin, Janelle Nunan, Colin L. Masters, Su San Mok, Konrad Beyreuther, Marie‐Isabel Aguilar, Joel C. Bornstein, Edgar Dawkins and Robert D. Moir and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Neuron.

In The Last Decade

David H. Small

182 papers receiving 7.8k citations

Hit Papers

Nowcasting: The real-time informational content of macroe... 2008 2026 2014 2020 2008 200 400 600

Peers

David H. Small
Comparison fields: 5 of 184
  • Physiology 4.0k
  • Molecular Biology 3.3k
  • Pharmacology 1.7k
  • Cellular and Molecular Neuroscience 1.5k
  • General Economics, Econometrics and Finance 1.0k
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Citations per field, relative to David H. Small
David H. Small · 1×
Citations per year, relative to David H. Small
David H. Small · 1×

Countries citing papers authored by David H. Small

Since Specialization
Citations

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

Fields of papers citing papers by David H. Small

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David H. Small

This figure shows the co-authorship network connecting the top 25 collaborators of David H. Small. A scholar is included among the top collaborators of David H. Small 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 H. Small. David H. Small 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
# Work Indexed citations
1
Why Interest Rates Rise When an Unexpectedly Large Money Stock is Announced
2
2 44
3 63
4 30
5 50
6 39
7 38
8 89
9 125
10 108
11 77
12 44
13
Estimating the Interest Rate Sensitivity of Liquid Retail Deposit Values
13
14 53
15 3
16 9
17 47
18
Drawing the map : equality and efficacy of the vote in Canadian electoral boundary reform
10
19
Understanding the Behavior of M2 and V2
39
20 14

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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