Dean Smith

756 total citations
37 papers, 434 citations indexed

About

Dean Smith is a scholar working on Molecular Biology, Hematology and Oncology. According to data from OpenAlex, Dean Smith has authored 37 papers receiving a total of 434 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 13 papers in Hematology and 10 papers in Oncology. Recurrent topics in Dean Smith's work include Multiple Myeloma Research and Treatments (13 papers), Protein Degradation and Inhibitors (7 papers) and Peptidase Inhibition and Analysis (4 papers). Dean Smith is often cited by papers focused on Multiple Myeloma Research and Treatments (13 papers), Protein Degradation and Inhibitors (7 papers) and Peptidase Inhibition and Analysis (4 papers). Dean Smith collaborates with scholars based in United Kingdom, United States and Egypt. Dean Smith's co-authors include Kwee Yong, Donald R. Dimmel, Deirdre R. Meldrum, Laimonas Kelbauskas, Patrick McHugh, Séamus O’Reilly, E.S. Newlands, Shôn Lewis, Lesley Fallowfield and R. Charles Coombes and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and Cancer Research.

In The Last Decade

Dean Smith

34 papers receiving 419 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dean Smith United Kingdom 12 132 129 118 86 72 37 434
Siddharth Sharma India 15 24 0.2× 98 0.8× 310 2.6× 60 0.7× 17 0.2× 89 708
Xianning Wu China 12 50 0.4× 81 0.6× 137 1.2× 22 0.3× 39 0.5× 29 558
Anna Sophia McKenney United States 10 36 0.3× 39 0.3× 269 2.3× 107 1.2× 9 0.1× 26 540
Mariana Silva Canada 14 50 0.4× 60 0.5× 53 0.4× 51 0.6× 7 0.1× 32 432
Gabriele Schmidt‐Wolf Germany 12 48 0.4× 217 1.7× 224 1.9× 32 0.4× 25 0.3× 25 620
Sarah Willey United States 6 130 1.0× 418 3.2× 80 0.7× 40 0.5× 9 0.1× 11 972
Keqin Qi United States 10 164 1.2× 180 1.4× 124 1.1× 7 0.1× 32 0.4× 33 348
Justin G. Peacock United States 12 29 0.2× 35 0.3× 61 0.5× 16 0.2× 11 0.2× 43 397
Sakae Unezaki Japan 12 9 0.1× 91 0.7× 226 1.9× 196 2.3× 38 0.5× 36 654
Paul H. Kim United States 19 10 0.1× 65 0.5× 523 4.4× 42 0.5× 26 0.4× 35 1.2k

Countries citing papers authored by Dean Smith

Since Specialization
Citations

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

Fields of papers citing papers by Dean Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dean Smith

This figure shows the co-authorship network connecting the top 25 collaborators of Dean Smith. A scholar is included among the top collaborators of Dean 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 Dean Smith. Dean 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.
Boyle, Eileen M., Lydia Lee, Dean Smith, et al.. (2024). Challenges in designing and running smouldering myeloma interventional clinical trials. SHILAP Revista de lepidopterología. 5(2). 418–420. 1 indexed citations
2.
Landgren, Ola, Ajai Chari, Yaël C. Cohen, et al.. (2024). Efficacy and safety of daratumumab in intermediate/high-risk smoldering multiple myeloma: final analysis of CENTAURUS. Blood. 145(15). 1658–1669. 1 indexed citations
4.
Gaiolla, Rafael Dezen, Sarah Hartley, Helen Knight, et al.. (2020). Extended follow‐up of CD4 + T cell recovery kinetics in a large cohort of patients with B‐cell lymphoproliferative disease treated with rituximab‐bendamustine. Hematological Oncology. 39(1). 137–140. 3 indexed citations
5.
Parmar, Rajbir, et al.. (2019). Curve Number Development using Normalized Difference Vegetation Index for the Contiguous United States in Hydrologic Micro Services. AGU Fall Meeting Abstracts. 2019. 1 indexed citations
6.
Cao, Bin, et al.. (2018). Integrating fluorescence computed tomography with optical sheet illumination for imaging of live single cells. Optics Express. 26(18). 24020–24020. 2 indexed citations
7.
Martínez‐Calle, Nicolás, Sarah Hartley, Matthew J. Ahearne, et al.. (2018). Kinetics of T‐cell subset reconstitution following treatment with bendamustine and rituximab for low‐grade lymphoproliferative disease: a population‐based analysis. British Journal of Haematology. 184(6). 957–968. 33 indexed citations
8.
Kelbauskas, Laimonas, Bin Cao, Kuochen Wang, et al.. (2017). Optical computed tomography for spatially isotropic four-dimensional imaging of live single cells. Science Advances. 3(12). e1602580–e1602580. 14 indexed citations
9.
Kelbauskas, Laimonas, Shashaanka Ashili, Jia Zeng, et al.. (2017). Platform for combined analysis of functional and biomolecular phenotypes of the same cell. Scientific Reports. 7(1). 44636–44636. 3 indexed citations
11.
Zeng, Jia, Laimonas Kelbauskas, Kristen Lee, et al.. (2016). Transcriptional regulation by normal epithelium of premalignant to malignant progression in Barrett’s esophagus. Scientific Reports. 6(1). 35227–35227. 2 indexed citations
12.
Smith, Dean & Kwee Yong. (2016). Advances in understanding prognosis in myeloma. British Journal of Haematology. 175(3). 367–380. 23 indexed citations
13.
Zeng, Jia, et al.. (2014). A Minimally Invasive Method for Retrieving Single Adherent Cells of Different Types from Cultures. Scientific Reports. 4(1). 5424–5424. 11 indexed citations
14.
Lau, I‐Jun, Dean Smith, Norbert Blesing, et al.. (2014). Bendamustine in combination with thalidomide and dexamethasone is a viable salvage option in myeloma relapsed and/or refractory to bortezomib and lenalidomide. Annals of Hematology. 94(4). 643–649. 14 indexed citations
15.
Wang, Hong, Dean Smith, Shih-Hui Chao, et al.. (2013). Rotation of cells and cell clusters in culture media for optical computed tomography. 1090–1092. 1 indexed citations
16.
Smith, Dean & Kwee Yong. (2013). Multiple myeloma. BMJ. 346(jun26 2). f3863–f3863. 58 indexed citations
17.
Kelbauskas, Laimonas, Shashaanka Ashili, Dean Smith, et al.. (2012). Method for physiologic phenotype characterization at the single-cell level in non-interacting and interacting cells. Journal of Biomedical Optics. 17(3). 37008–37008. 18 indexed citations
18.
McHugh, Patrick, Shôn Lewis, Sarah Ford, et al.. (1995). The efficacy of audiotapes in promoting psychological well-being in cancer patients: a randomised, controlled trial. British Journal of Cancer. 71(2). 388–392. 88 indexed citations
19.
Smith, Dean & Donald R. Dimmel. (1994). Electron Transfer Reactions in Pulping Systems IX. Reactions of Syringyl Alcohol with Pulping Reagents. Journal of Wood Chemistry and Technology. 14(2). 297–313. 12 indexed citations
20.
Smith, Dean, et al.. (1984). High Temperature Proton Exchange Reactions by Hydroxide In Water. Journal of Wood Chemistry and Technology. 4(1). 75–90. 2 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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