Daniel R. Smith

1.7k total citations
29 papers, 1.2k citations indexed

About

Daniel R. Smith is a scholar working on Sociology and Political Science, Molecular Biology and Social Psychology. According to data from OpenAlex, Daniel R. Smith has authored 29 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Sociology and Political Science, 6 papers in Molecular Biology and 6 papers in Social Psychology. Recurrent topics in Daniel R. Smith's work include Alzheimer's disease research and treatments (5 papers), Gender, Feminism, and Media (4 papers) and Humor Studies and Applications (4 papers). Daniel R. Smith is often cited by papers focused on Alzheimer's disease research and treatments (5 papers), Gender, Feminism, and Media (4 papers) and Humor Studies and Applications (4 papers). Daniel R. Smith collaborates with scholars based in United States, United Kingdom and Sweden. Daniel R. Smith's co-authors include Matthew R. Chapman, Luz P. Blanco, Omer Tsimhoni, Paul Green, Matthew P. Badtke, Margery L. Evans, Yizhou Zhou, Jonathan Jones, Xuan Wang and Fernando J. Martínez and has published in prestigious journals such as Journal of Biological Chemistry, American Journal of Respiratory and Critical Care Medicine and Trends in Microbiology.

In The Last Decade

Daniel R. Smith

28 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel R. Smith United States 15 619 307 165 147 108 29 1.2k
Heather A. Parker New Zealand 11 398 0.6× 170 0.6× 126 0.8× 227 1.5× 114 1.1× 23 1.5k
I‐Hsuan Lin Taiwan 24 715 1.2× 185 0.6× 95 0.6× 49 0.3× 81 0.8× 69 1.7k
Amanda L. Gavin United States 23 612 1.0× 124 0.4× 191 1.2× 68 0.5× 43 0.4× 51 2.4k
Jennifer M. Gardner United States 24 1.3k 2.1× 134 0.4× 213 1.3× 18 0.1× 37 0.3× 85 2.6k
Björn Peters Germany 24 1.5k 2.4× 103 0.3× 58 0.4× 96 0.7× 17 0.2× 47 2.4k
Fiona C. Shenton United Kingdom 27 537 0.9× 286 0.9× 51 0.3× 35 0.2× 24 0.2× 58 2.5k
Sharon A Bentley Australia 22 216 0.3× 123 0.4× 52 0.3× 20 0.1× 71 0.7× 101 1.6k
David D. Wood United States 26 979 1.6× 135 0.4× 168 1.0× 53 0.4× 79 0.7× 68 3.2k
Xiaoxia Su China 21 879 1.4× 108 0.4× 54 0.3× 39 0.3× 53 0.5× 85 1.8k
Valentina Donati Italy 24 1.7k 2.7× 281 0.9× 311 1.9× 59 0.4× 143 1.3× 70 2.8k

Countries citing papers authored by Daniel R. Smith

Since Specialization
Citations

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

Fields of papers citing papers by Daniel R. Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel R. Smith

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel R. Smith. A scholar is included among the top collaborators of Daniel R. Smith 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 R. Smith. Daniel R. Smith 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.
Smith, Daniel R.. (2022). The sad clown paradox: A theory of comic transcendence. International Journal of Cultural Studies. 26(1). 87–103. 1 indexed citations
2.
Smith, Daniel R., et al.. (2020). LOOKING BACK IN ORDER TO MOVE AHEAD AS A LEADER: A Personal Journey Line Narrative Exercise. Journal of Leadership Education. 19(1). 37–43. 1 indexed citations
3.
Phillips, Coretta, Rod Earle, Alpa Parmar, & Daniel R. Smith. (2019). Dear British criminology: Where has all the race and racism gone?. Theoretical Criminology. 24(3). 427–446. 30 indexed citations
4.
Smith, Daniel R.. (2018). Comedy & critique: Stand-up and the professional ethos of laughter. Bristol University Press eBooks. 1 indexed citations
5.
Smith, Daniel R.. (2017). The tragedy of self in digitised popular culture: the existential consequences of digital fame on YouTube. Qualitative Research. 17(6). 699–714. 12 indexed citations
6.
Smith, Daniel R., et al.. (2017). The Production of Curli Amyloid Fibers Is Deeply Integrated into the Biology of Escherichia coli. Biomolecules. 7(4). 75–75. 56 indexed citations
7.
Smith, Daniel R.. (2016). ‘Imagining others more complexly’: celebrity and the ideology of fame among YouTube’s ‘Nerdfighteria’. Celebrity Studies. 7(3). 339–353. 11 indexed citations
8.
Smith, Daniel R.. (2014). The Gent-rification of English masculinities: class, race and nation in contemporary consumption. Social Identities. 20(4-5). 391–406. 3 indexed citations
9.
Smith, Daniel R.. (2014). Charlie is so ‘English’-like: nationality and the branded celebrity person in the age of YouTube. Celebrity Studies. 5(3). 256–274. 30 indexed citations
10.
Smith, Daniel R.. (2014). The elite ethic of fiduciarity: The heraldry of the Jack Wills brand *. Anglia Ruskin Research Online (Anglia Ruskin University). 2 indexed citations
11.
Zhou, Yizhou, Daniel R. Smith, David A. Hufnagel, & Matthew R. Chapman. (2012). Experimental Manipulation of the Microbial Functional Amyloid Called Curli. Methods in molecular biology. 966. 53–75. 71 indexed citations
12.
Zhou, Yizhou, Daniel R. Smith, Bryan J. Leong, et al.. (2012). Promiscuous Cross-seeding between Bacterial Amyloids Promotes Interspecies Biofilms. Journal of Biological Chemistry. 287(42). 35092–35103. 121 indexed citations
13.
Zhou, Yizhou, Luz P. Blanco, Daniel R. Smith, & Matthew R. Chapman. (2012). Bacterial Amyloids. Methods in molecular biology. 849. 303–320. 46 indexed citations
14.
Blanco, Luz P., Margery L. Evans, Daniel R. Smith, Matthew P. Badtke, & Matthew R. Chapman. (2011). Diversity, biogenesis and function of microbial amyloids. Trends in Microbiology. 20(2). 66–73. 262 indexed citations
15.
Smith, Daniel R. & Matthew R. Chapman. (2010). Economical Evolution: Microbes Reduce the Synthetic Cost of Extracellular Proteins. mBio. 1(3). 86 indexed citations
16.
Wang, Xuan, Daniel R. Smith, Jonathan Jones, & Matthew R. Chapman. (2006). In Vitro Polymerization of a Functional Escherichia coli Amyloid Protein. Journal of Biological Chemistry. 282(6). 3713–3719. 156 indexed citations
17.
Tsimhoni, Omer, Daniel R. Smith, & Paul Green. (2002). DESTINATION ENTRY WHILE DRIVING: SPEECH RECOGNITION VERSUS A TOUCH- SCREEN KEYBOARD. Deep Blue (University of Michigan). 23 indexed citations
18.
Smith, Daniel R., Steven L. Kunkel, T J Standiford, et al.. (1995). Increased Interleukin-1 Receptor Antagonist in Idiopathic Pulmonary Fibrosis. A Compartmental Analysis. American Journal of Respiratory and Critical Care Medicine. 151(6). 1965–1973. 32 indexed citations
19.
Smith, Daniel R., Steven L. Kunkel, Theodore J. Standiford, et al.. (1993). The production of interleukin-1 receptor antagonist by human bronchogenic carcinoma.. PubMed. 143(3). 794–803. 31 indexed citations
20.
Martínez, Fernando J., et al.. (1992). Spontaneous hemothorax. Report of 6 cases and review of the literature.. PubMed. 71(6). 354–68. 64 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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