Joshua A. Hanson

1.1k total citations
49 papers, 715 citations indexed

About

Joshua A. Hanson is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Epidemiology. According to data from OpenAlex, Joshua A. Hanson has authored 49 papers receiving a total of 715 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Oncology, 12 papers in Pulmonary and Respiratory Medicine and 11 papers in Epidemiology. Recurrent topics in Joshua A. Hanson's work include Pancreatic and Hepatic Oncology Research (5 papers), Gastric Cancer Management and Outcomes (5 papers) and Neuroendocrine Tumor Research Advances (4 papers). Joshua A. Hanson is often cited by papers focused on Pancreatic and Hepatic Oncology Research (5 papers), Gastric Cancer Management and Outcomes (5 papers) and Neuroendocrine Tumor Research Advances (4 papers). Joshua A. Hanson collaborates with scholars based in United States, Germany and Canada. Joshua A. Hanson's co-authors include Abiy B. Ambaye, Katherine T. Morris, Denis M. McCarthy, David Martin, Robert A. Nofchissey, R. Stephen Berry, Rebecca Wilcox, Kirk J. Wangensteen, Edward L. Krawitt and R. G. Strickland and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Clinical Cancer Research.

In The Last Decade

Joshua A. Hanson

47 papers receiving 704 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joshua A. Hanson United States 14 200 175 149 141 121 49 715
Lilong Zhang China 16 141 0.7× 241 1.4× 271 1.8× 148 1.0× 147 1.2× 53 790
Yishu Chen China 12 129 0.6× 116 0.7× 102 0.7× 200 1.4× 118 1.0× 33 638
René Thieme Germany 20 266 1.3× 151 0.9× 253 1.7× 97 0.7× 131 1.1× 65 895
Zheng Yang China 19 163 0.8× 204 1.2× 379 2.5× 152 1.1× 136 1.1× 81 1.1k
Jian Huang China 15 105 0.5× 119 0.7× 271 1.8× 137 1.0× 104 0.9× 97 887
Yifan Tong China 19 213 1.1× 157 0.9× 184 1.2× 120 0.9× 149 1.2× 66 826
Hayato Nakamura Japan 17 416 2.1× 254 1.5× 152 1.0× 94 0.7× 92 0.8× 92 826
Pei Li China 20 117 0.6× 175 1.0× 405 2.7× 172 1.2× 270 2.2× 89 1.1k
Yuting He China 18 252 1.3× 282 1.6× 291 2.0× 141 1.0× 141 1.2× 48 1.0k

Countries citing papers authored by Joshua A. Hanson

Since Specialization
Citations

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

Fields of papers citing papers by Joshua A. Hanson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joshua A. Hanson. 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 Joshua A. Hanson. The network helps show where Joshua A. Hanson may publish in the future.

Co-authorship network of co-authors of Joshua A. Hanson

This figure shows the co-authorship network connecting the top 25 collaborators of Joshua A. Hanson. A scholar is included among the top collaborators of Joshua A. Hanson 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 Joshua A. Hanson. Joshua A. Hanson 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.
Wade, Jon, et al.. (2024). Fluid bed granulation – Process optimization. Powder Technology. 449. 120358–120358. 2 indexed citations
2.
Nofchissey, Robert A., Megan R. Lerner, Kar‐Ming Fung, et al.. (2023). G-CSF Is a Novel Mediator of T-Cell Suppression and an Immunotherapeutic Target for Women with Colon Cancer. Clinical Cancer Research. 29(11). 2158–2169. 5 indexed citations
3.
Agarwal, Shweta, et al.. (2023). Predicting nodal metastases in squamous cell carcinoma of the oral tongue using artificial intelligence. American Journal of Otolaryngology. 45(1). 104102–104102. 8 indexed citations
4.
Brayer, Kathryn J., et al.. (2023). The inflammatory response of human pancreatic cancer samples compared to normal controls. PLoS ONE. 18(11). e0284232–e0284232. 7 indexed citations
5.
Sen, Maitraye, et al.. (2022). Stochastic analysis and modeling of pharmaceutical screw feeder mass flow rates. International Journal of Pharmaceutics. 621. 121776–121776. 3 indexed citations
6.
Foulke‐Abel, Jennifer, et al.. (2022). Ulcerative Colitis: Novel Epithelial Insights Provided by Single Cell RNA Sequencing. Frontiers in Medicine. 9. 868508–868508. 13 indexed citations
7.
8.
Olson, Garth T., et al.. (2021). Predicting nodal metastases in papillary thyroid carcinoma using artificial intelligence. The American Journal of Surgery. 222(5). 952–958. 9 indexed citations
9.
Hanson, Joshua A., et al.. (2020). Giant Gastric Ulcers: An Unusual Culprit. Digestive Diseases and Sciences. 65(10). 2811–2817. 13 indexed citations
10.
Clark, Douglas P., et al.. (2020). Comparing Deep Learning and Immunohistochemistry in Determining the Site of Origin for Well-Differentiated Neuroendocrine Tumors. Journal of Pathology Informatics. 11(1). 32–32. 8 indexed citations
11.
Hanson, Joshua A., et al.. (2019). As the Worm Turns: A Globally Prevalent Cause of Chronic Diarrhea. Digestive Diseases and Sciences. 65(1). 74–77. 1 indexed citations
12.
Hanson, Joshua A., et al.. (2019). Getting the gist of a schwannoma. Gastrointestinal Endoscopy. 91(1). 191–192. 1 indexed citations
13.
Martin, David, et al.. (2019). A Deep Learning Convolutional Neural Network Can Recognize Common Patterns of Injury in Gastric Pathology. Archives of Pathology & Laboratory Medicine. 144(3). 370–378. 41 indexed citations
14.
Berry, R. Stephen, et al.. (2019). SATB2 Versus CDX2: A Battle Royale for Diagnostic Supremacy in Mucinous Tumors. Archives of Pathology & Laboratory Medicine. 143(9). 1119–1125. 11 indexed citations
15.
Hanson, Joshua A., Michelle Harkins, Sarah Lathrop, et al.. (2018). Upregulation of P2Y2R, Active uPA, and PAI-1 Are Essential Components of Hantavirus Cardiopulmonary Syndrome. Frontiers in Cellular and Infection Microbiology. 8. 169–169. 14 indexed citations
16.
Berry, R. Stephen, Alissa Greenbaum, Robert A. Nofchissey, et al.. (2017). High levels of tumor-associated neutrophils are associated with improved overall survival in patients with stage II colorectal cancer. PLoS ONE. 12(12). e0188799–e0188799. 66 indexed citations
17.
Lee, Sarah, et al.. (2017). Carbamazepine-Associated Hypersensitivity Colitis. Digestive Diseases and Sciences. 63(2). 334–337. 3 indexed citations
18.
Berry, R. Stephen, et al.. (2017). A Comprehensive Evaluation of Special AT-rich Sequence-binding Protein 2 (SATB2) Immunohistochemical Staining in Mucinous Tumors From Gastrointestinal and Nongastrointestinal Sites. Applied immunohistochemistry & molecular morphology. 27(5). 378–385. 7 indexed citations
19.
Wangensteen, Kirk J., et al.. (2016). Natural History of Patients Presenting with Autoimmune Hepatitis and Coincident Nonalcoholic Fatty Liver Disease. Digestive Diseases and Sciences. 61(9). 2710–2720. 59 indexed citations
20.
Hanson, Joshua A., et al.. (2015). Hard to Swallow: A Rare Cause. Digestive Diseases and Sciences. 60(9). 2608–2611. 1 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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