Kevin R. Smith

3.1k total citations
72 papers, 2.0k citations indexed

About

Kevin R. Smith is a scholar working on Molecular Biology, Accounting and Genetics. According to data from OpenAlex, Kevin R. Smith has authored 72 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 14 papers in Accounting and 11 papers in Genetics. Recurrent topics in Kevin R. Smith's work include Auditing, Earnings Management, Governance (13 papers), CRISPR and Genetic Engineering (9 papers) and Animal Genetics and Reproduction (7 papers). Kevin R. Smith is often cited by papers focused on Auditing, Earnings Management, Governance (13 papers), CRISPR and Genetic Engineering (9 papers) and Animal Genetics and Reproduction (7 papers). Kevin R. Smith collaborates with scholars based in United States, United Kingdom and Australia. Kevin R. Smith's co-authors include Ann E. Aust, Corrado Spadafora, Christopher J. Skousen, Charlotte J. Wright, Michael Ettredge, Lili Sun, Susan Scholz, Kent E. Pinkerton, Gregory Hickok and Ronald T. Borchardt and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Circulation and The Journal of Immunology.

In The Last Decade

Kevin R. Smith

70 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kevin R. Smith United States 25 537 305 242 231 191 72 2.0k
Richard D. Phillips United States 34 654 1.2× 551 1.8× 101 0.4× 51 0.2× 362 1.9× 139 4.0k
Yan Tong United States 40 1.2k 2.2× 59 0.2× 68 0.3× 311 1.3× 181 0.9× 157 4.0k
Arpita Chatterjee United States 22 538 1.0× 29 0.1× 94 0.4× 152 0.7× 49 0.3× 107 1.8k
John R. Robinson United States 35 302 0.6× 1.7k 5.6× 570 2.4× 56 0.2× 50 0.3× 155 5.1k
Charles R. Evans United States 25 1.0k 2.0× 34 0.1× 50 0.2× 114 0.5× 35 0.2× 56 2.9k
William J. Hunter United States 26 444 0.8× 42 0.1× 29 0.1× 43 0.2× 48 0.3× 113 2.6k
Richard Williams United States 23 1.4k 2.7× 30 0.1× 28 0.1× 240 1.0× 59 0.3× 42 3.2k
Yu‐Fen Chen Taiwan 23 295 0.5× 85 0.3× 141 0.6× 27 0.1× 25 0.1× 111 2.0k
Akiko Tamura Japan 23 512 1.0× 22 0.1× 139 0.6× 77 0.3× 15 0.1× 96 1.9k

Countries citing papers authored by Kevin R. Smith

Since Specialization
Citations

This map shows the geographic impact of Kevin 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 Kevin 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 Kevin R. Smith more than expected).

Fields of papers citing papers by Kevin R. Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of Kevin R. Smith. A scholar is included among the top collaborators of Kevin 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 Kevin R. Smith. Kevin 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.
Alkhairy, Sahar, Ingoo Lee, Rudolf Pillich, et al.. (2024). Evaluation of large language models for discovery of gene set function. Nature Methods. 22(1). 82–91. 20 indexed citations
2.
Oler, Derek, et al.. (2021). Revisiting the Status of the U.S. Academic Profession of Accounting. Issues in Accounting Education. 36(3). 23–27. 8 indexed citations
3.
Mebratu, Yohannes A., Kevin R. Smith, Getahun E. Agga, & Yohannes Tesfaigzi. (2016). Inflammation and emphysema in cigarette smoke-exposed mice when instilled with poly (I:C) or infected with influenza A or respiratory syncytial viruses. Respiratory Research. 17(1). 75–75. 23 indexed citations
4.
Smith, Sheldon R. & Kevin R. Smith. (2014). The Journey from Historical Cost Accounting to Fair Value Accounting: The Case of Acquisition Costs. 7(1). 3. 5 indexed citations
5.
Chand, Hitendra S., Shannon Bruse, Kevin R. Smith, et al.. (2014). Wood Smoke Enhances Cigarette Smoke–Induced Inflammation by Inducing the Aryl Hydrocarbon Receptor Repressor in Airway Epithelial Cells. American Journal of Respiratory Cell and Molecular Biology. 52(3). 377–386. 34 indexed citations
6.
Smith, Kevin R., et al.. (2012). Human Germline Genetic Modification: Scientific and Bioethical Perspectives. Archives of Medical Research. 43(7). 491–513. 17 indexed citations
7.
Mebratu, Yohannes A., et al.. (2011). Cigarette Smoke Suppresses Bik To Cause Epithelial Cell Hyperplasia and Mucous Cell Metaplasia. American Journal of Respiratory and Critical Care Medicine. 183(11). 1531–1538. 39 indexed citations
8.
Smith, Kevin R., David Leonard, Jacob D. McDonald, & Yohannes Tesfaigzi. (2011). Inflammation, mucous cell metaplasia, and Bcl-2 expression in response to inhaled lipopolysaccharide aerosol and effect of rolipram. Toxicology and Applied Pharmacology. 253(3). 253–260. 7 indexed citations
9.
Smith, Kevin R., I-Hui Hsieh, Kourosh Saberi, & Gregory Hickok. (2009). Auditory Spatial and Object Processing in the Human Planum Temporale: No Evidence for Selectivity. Journal of Cognitive Neuroscience. 22(4). 632–639. 29 indexed citations
10.
Smith, Kevin R.. (2008). Anomalous Therapies and Public Health: A Utilitarian Bioethical Response. Public Health Nursing. 25(3). 269–277. 4 indexed citations
11.
Smith, Kevin R., S. K. Duckett, M. J. Azain, R.N. Sonon, & T. D. Pringle. (2007). The effect of anabolic implants on intramuscular lipid deposition in finished beef cattle. Journal of Animal Science. 85(2). 430–440. 33 indexed citations
12.
Smith, Kevin R., Kourosh Saberi, & Gregory Hickok. (2007). An event-related fMRI study of auditory motion perception: No evidence for a specialized cortical system. Brain Research. 1150. 94–99. 33 indexed citations
13.
Smith, Kevin R., Kent E. Pinkerton, Takaho Watanabe, et al.. (2005). Attenuation of tobacco smoke-induced lung inflammation by treatment with a soluble epoxide hydrolase inhibitor. Proceedings of the National Academy of Sciences. 102(6). 2186–2191. 151 indexed citations
14.
Smith, Kevin R.. (2004). Gene Therapy: The Potential Applicability of Gene Transfer Technology to the Human Germline. International Journal of Medical Sciences. 1(2). 76–91. 25 indexed citations
15.
Smith, Kevin R.. (2003). Gene therapy: theoretical and bioethical concepts. Archives of Medical Research. 34(4). 247–268. 32 indexed citations
16.
Smith, Kevin R.. (2002). The role of sperm-mediated gene transfer in genome mutation and evolution. Medical Hypotheses. 59(4). 433–437. 15 indexed citations
18.
Smith, Kevin R.. (2001). Theoretical mechanisms in targetedand random integration of transgene DNA. annales de biologie animale biochimie biophysique. 41(6). 465–485. 35 indexed citations
19.
Smith, Kevin R., et al.. (2000). BIOAVAILABILITY OF IRON FROM COAL FLY ASH: Mechanisms of Mobilization and of Biological Effects. Inhalation Toxicology. 12(sup4). 209–225. 30 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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