Daniel Hampton

629 total citations
10 papers, 471 citations indexed

About

Daniel Hampton is a scholar working on Genetics, Immunology and Surgery. According to data from OpenAlex, Daniel Hampton has authored 10 papers receiving a total of 471 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Genetics, 3 papers in Immunology and 2 papers in Surgery. Recurrent topics in Daniel Hampton's work include Mast cells and histamine (2 papers), Liver Disease Diagnosis and Treatment (2 papers) and Orthoptera Research and Taxonomy (2 papers). Daniel Hampton is often cited by papers focused on Mast cells and histamine (2 papers), Liver Disease Diagnosis and Treatment (2 papers) and Orthoptera Research and Taxonomy (2 papers). Daniel Hampton collaborates with scholars based in United States. Daniel Hampton's co-authors include Radhika Das, Randy L. Jirtle, Susan K. Murphy, Melanie E. Garrett, Steve S. Choi, Michael A. Hauser, Anna Mae Diehl, Jane E. Onken, Yuping Chen and Gregory A. Michelotti and has published in prestigious journals such as Gastroenterology, PLoS ONE and Hepatology.

In The Last Decade

Daniel Hampton

10 papers receiving 464 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 Hampton United States 7 231 142 95 93 86 10 471
Yi‐Wah Chan United Kingdom 12 258 1.1× 204 1.4× 72 0.8× 25 0.3× 44 0.5× 12 990
Sho Manabe Japan 11 151 0.7× 249 1.8× 45 0.5× 116 1.2× 162 1.9× 26 499
C H Kendall United Kingdom 12 77 0.3× 94 0.7× 103 1.1× 21 0.2× 45 0.5× 23 364
Giorgia Rizzo Italy 7 67 0.3× 188 1.3× 121 1.3× 45 0.5× 66 0.8× 10 435
Xue He China 13 83 0.4× 137 1.0× 50 0.5× 92 1.0× 22 0.3× 35 451
Noemí Meraz‐Cruz Mexico 12 125 0.5× 120 0.8× 33 0.3× 53 0.6× 23 0.3× 30 409
Jose Paredes United States 12 65 0.3× 265 1.9× 430 4.5× 33 0.4× 285 3.3× 16 760
Masato Fujisawa Japan 12 83 0.4× 108 0.8× 101 1.1× 8 0.1× 17 0.2× 36 433
D Liu United States 10 92 0.4× 197 1.4× 20 0.2× 12 0.1× 141 1.6× 11 416
Stephen Sullivan United States 12 48 0.2× 270 1.9× 44 0.5× 57 0.6× 52 0.6× 18 409

Countries citing papers authored by Daniel Hampton

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Hampton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Hampton

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Hampton. A scholar is included among the top collaborators of Daniel Hampton 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 Hampton. Daniel Hampton is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Hu, Ranliang, et al.. (2019). Combined task activation display as an effective method to teach introductory fMRI users. Clinical Imaging. 55. 181–187. 2 indexed citations
2.
Moylan, Cynthia A., Herbert Pang, Andrew Dellinger, et al.. (2013). Hepatic Gene Expression Profiles Differentiate Presymptomatic Patients With Mild Versus Severe Nonalcoholic Fatty Liver Disease. Hepatology. 59(2). 471–482. 234 indexed citations
3.
Hampton, Daniel & Laura P. Hale. (2011). Mast Cells Are Critical for Protection against Peptic Ulcers Induced by the NSAID Piroxicam. PLoS ONE. 6(8). e23669–e23669. 12 indexed citations
4.
Haleem‐Smith, Hana, Evan Argintar, Daniel Hampton, et al.. (2011). Biological responses of human mesenchymal stem cells to titanium wear debris particles. Journal of Orthopaedic Research®. 30(6). 853–863. 64 indexed citations
5.
Moylan, Cynthia A., Andrew Dellinger, Herbert Pang, et al.. (2011). Modest Alcohol Consumption Attenuates Expression of Fibrosis-Associated Genes in Patients With Non-Alcoholic Fatty Liver Disease (NAFLD). Gastroenterology. 140(5). S–914. 2 indexed citations
6.
Hampton, Daniel & Laura P. Hale. (2010). 772 Mast Cells are Critical for Prevention of NSAID-Induced Gastric Ulceration. Gastroenterology. 138(5). S–108. 1 indexed citations
7.
Das, Radhika, Daniel Hampton, & Randy L. Jirtle. (2009). Imprinting evolution and human health. Mammalian Genome. 20(9-10). 563–572. 71 indexed citations
8.
Hampton, Daniel, Martin Poleski, & Jane E. Onken. (2008). Inflammatory bowel disease following solid organ transplantation. Clinical Immunology. 128(3). 287–293. 45 indexed citations
9.
Britch, Seth C., et al.. (2007). Genetic Architecture of Conspecific Sperm Precedence inAllonemobius fasciatusandA. socius. Genetics. 176(2). 1209–1222. 9 indexed citations
10.
Howard, Daniel J., Jeremy L. Marshall, Daniel Hampton, et al.. (2002). The Genetics of Reproductive Isolation: A Retrospective and Prospective Look with Comments on Ground Crickets. The American Naturalist. 159(S3). S8–S21. 31 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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