Scott H. Harrison

1.6k total citations
51 papers, 815 citations indexed

About

Scott H. Harrison is a scholar working on Molecular Biology, Animal Science and Zoology and Epidemiology. According to data from OpenAlex, Scott H. Harrison has authored 51 papers receiving a total of 815 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 6 papers in Animal Science and Zoology and 5 papers in Epidemiology. Recurrent topics in Scott H. Harrison's work include Bioinformatics and Genomic Networks (5 papers), Bacterial biofilms and quorum sensing (4 papers) and Microbial infections and disease research (4 papers). Scott H. Harrison is often cited by papers focused on Bioinformatics and Genomic Networks (5 papers), Bacterial biofilms and quorum sensing (4 papers) and Microbial infections and disease research (4 papers). Scott H. Harrison collaborates with scholars based in United States, China and Australia. Scott H. Harrison's co-authors include Joseph L. Graves, Mehrdad Tajkarimi, Jeffrey E. Barrick, S. Robert Adamson, Jake Y. Chen, Michael Lynch, Takahiro Maruki, George E.O. Muscat, Richard Clarkson and Christine A. Wells and has published in prestigious journals such as PLoS ONE, The FASEB Journal and Biophysical Journal.

In The Last Decade

Scott H. Harrison

47 papers receiving 793 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Scott H. Harrison United States 15 350 147 129 83 52 51 815
Marcel Gubler Switzerland 24 636 1.8× 104 0.7× 180 1.4× 152 1.8× 70 1.3× 29 1.2k
Giuseppe Perugino Italy 22 1.1k 3.3× 137 0.9× 141 1.1× 165 2.0× 88 1.7× 65 1.9k
Jessica Chen United States 12 540 1.5× 115 0.8× 76 0.6× 30 0.4× 100 1.9× 26 1.1k
Mônica Siqueira Ferreira Brazil 18 218 0.6× 67 0.5× 71 0.6× 117 1.4× 38 0.7× 43 915
Anupam Singh India 13 671 1.9× 86 0.6× 122 0.9× 57 0.7× 85 1.6× 22 907
Burghardt Scheibe Germany 10 971 2.8× 81 0.6× 122 0.9× 91 1.1× 73 1.4× 15 1.6k
Yuping Huang China 19 539 1.5× 60 0.4× 116 0.9× 46 0.6× 145 2.8× 45 1.1k
Francisco J. Fernández Spain 20 669 1.9× 266 1.8× 105 0.8× 138 1.7× 111 2.1× 99 1.3k
Andrew Leech United Kingdom 19 696 2.0× 150 1.0× 194 1.5× 56 0.7× 166 3.2× 41 1.1k
Etienne Baise Belgium 15 645 1.8× 203 1.4× 92 0.7× 72 0.9× 173 3.3× 29 1.2k

Countries citing papers authored by Scott H. Harrison

Since Specialization
Citations

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

Fields of papers citing papers by Scott H. Harrison

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Scott H. Harrison

This figure shows the co-authorship network connecting the top 25 collaborators of Scott H. Harrison. A scholar is included among the top collaborators of Scott H. Harrison 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 Scott H. Harrison. Scott H. Harrison 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.
Fasina, Yewande O., et al.. (2025). Exploring the impact of a high-fat diet on the serotonin signaling in gut-brain axis. Nutritional Neuroscience. 29(1). 40–54.
2.
Fasina, Yewande O., et al.. (2025). Dietary polyunsaturated fatty acids effect on cecal microbiome profile of maturing broiler chicken. Poultry Science. 104(7). 105167–105167. 2 indexed citations
3.
Fasina, Yewande O., et al.. (2024). Effect of dietary fat source on the composition of the cecal microbiome in maturing broiler chicken. Frontiers in Microbiology. 15. 1462757–1462757. 5 indexed citations
4.
Harrison, Scott H., et al.. (2024). Retrospective Study of the Prevalence, Histopathology, Therapy, and Survival Time of Neoplastic Disease in Fish. Animals. 14(3). 464–464. 3 indexed citations
5.
Harrison, Scott H., et al.. (2024). Evaluation of Neoplasia, Treatments, and Survival in Lizard Species. Animals. 14(10). 1395–1395.
6.
Harrison, Scott H., et al.. (2022). A Multi-Institutional Collaboration to Understand Neoplasia, Treatment and Survival of Snakes. Animals. 12(3). 258–258. 6 indexed citations
7.
Mostafa, Sayed, et al.. (2022). The Association of Toxoplasma gondii IgG and Liver Injury in US Adults. International Journal of Environmental Research and Public Health. 19(12). 7515–7515. 9 indexed citations
9.
Fasina, Yewande O., et al.. (2022). Connecting gut microbiomes and short chain fatty acids with the serotonergic system and behavior in Gallus gallus and other avian species. Frontiers in Physiology. 13. 1035538–1035538. 24 indexed citations
10.
Kalan, Mohammad Ebrahimi, et al.. (2018). The identification of risk factors associated with patient and healthcare system delays in the treatment of tuberculosis in Tabriz, Iran. BMC Public Health. 18(1). 174–174. 18 indexed citations
11.
Sharma, Neil, et al.. (2017). Gastric Gastrointestinal Stromal Tumors (GIST): a Case Series and Current State of the Art in the Workup and Treatment of This Rare Disease. Journal of Gastrointestinal Cancer. 50(3). 548–555. 4 indexed citations
12.
Gorji, M., et al.. (2017). Identifying time-delayed gene regulatory networks via an evolvable hierarchical recurrent neural network. BioData Mining. 10(1). 29–29. 26 indexed citations
13.
Homaifar, Abdollah, et al.. (2016). Stable Gene Regulatory Network Modeling From Steady-State Data. Bioengineering. 3(2). 12–12. 11 indexed citations
14.
Tajkarimi, Mehrdad, Scott H. Harrison, Albert M. Hung, & Joseph L. Graves. (2016). Mechanobiology of Antimicrobial Resistant Escherichia coli and Listeria innocua. PLoS ONE. 11(2). e0149769–e0149769. 10 indexed citations
15.
Liu, Lumei, et al.. (2016). The Effects of Dietary Fat and Iron Interaction on Brain Regional Iron Contents and Stereotypical Behaviors in Male C57BL/6J Mice. Frontiers in Nutrition. 3. 20–20. 10 indexed citations
16.
Tajkarimi, Mehrdad, Albert M. Hung, Scott H. Harrison, Jeffrey E. Barrick, & Joseph L. Graves. (2015). Single Cell Force Spectroscopy Analysis for Acinetobacter Baylyi Mutation Aggregation. Biophysical Journal. 108(2). 402a–403a. 1 indexed citations
17.
Xie, Zhijian, Scott H. Harrison, Suzy V. Torti, Frank M. Torti, & Jian Han. (2013). Application of circuit simulation method for differential modeling of TIM-2 iron uptake and metabolism in mouse kidney cells. Frontiers in Physiology. 4. 136–136. 2 indexed citations
18.
Huan, Tianxiao, Andrey Sivachenko, Scott H. Harrison, & Jake Y. Chen. (2008). ProteoLens: a visual analytic tool for multi-scale database-driven biological network data mining. Publisher. 2 indexed citations
19.
Saha, Sudipto, Scott H. Harrison, & Jake Y. Chen. (2008). Dissecting the human plasma proteome and inflammatory response biomarkers. PROTEOMICS. 9(2). 470–484. 17 indexed citations
20.
Harrison, Scott H. & S. Robert Adamson. (1988). Reservoir management -- as conceived and applied on the Palinpinon reservoir, Phillipines. Seminars in Hematology. 35(2 Suppl 2). 4–10. 47 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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