Joe Kesterson

955 total citations
12 papers, 690 citations indexed

About

Joe Kesterson is a scholar working on Artificial Intelligence, Oncology and Molecular Biology. According to data from OpenAlex, Joe Kesterson has authored 12 papers receiving a total of 690 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 3 papers in Oncology and 2 papers in Molecular Biology. Recurrent topics in Joe Kesterson's work include Pancreatic and Hepatic Oncology Research (3 papers), Topic Modeling (3 papers) and Blood Pressure and Hypertension Studies (2 papers). Joe Kesterson is often cited by papers focused on Pancreatic and Hepatic Oncology Research (3 papers), Topic Modeling (3 papers) and Blood Pressure and Hypertension Studies (2 papers). Joe Kesterson collaborates with scholars based in United States. Joe Kesterson's co-authors include Stephen D. Hall, Hisham Aljadhey, Michael D. Murray, Naga Chalasani, C. Max Schmidt, Joshua A. Waters, Christopher M. Callahan, Sujuan Gao, Hugh C. Hendrie and Chenkun Wang and has published in prestigious journals such as Gastroenterology, Hypertension and Journal of General Internal Medicine.

In The Last Decade

Joe Kesterson

12 papers receiving 653 citations

Peers

Joe Kesterson
Christian Laveille France
Alison E. Fohner United States
Gaia Pocobelli United States
Yea Huei Kao Yang Taiwan
James D. Cowan United States
Yibing Zhu China
Kaori Kadoyama Japan
Charles M. Gerrits United States
Senthil Nachimuthu United States
Siew Har Tan Singapore
Christian Laveille France
Joe Kesterson
Citations per year, relative to Joe Kesterson Joe Kesterson (= 1×) peers Christian Laveille

Countries citing papers authored by Joe Kesterson

Since Specialization
Citations

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

Fields of papers citing papers by Joe Kesterson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joe Kesterson

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

All Works

12 of 12 papers shown
1.
Mehrabi, Saeed, Anand Krishnan, Sunghwan Sohn, et al.. (2015). DEEPEN: A negation detection system for clinical text incorporating dependency relation into NegEx. Journal of Biomedical Informatics. 54. 213–219. 68 indexed citations
2.
Mehrabi, Saeed, Anand Krishnan, Alexandra M. Roch, et al.. (2015). Identification of Patients with Family History of Pancreatic Cancer--Investigation of an NLP System Portability.. PubMed. 216. 604–8. 27 indexed citations
3.
Wang, Chenkun, Sujuan Gao, Hugh C. Hendrie, et al.. (2015). Antidepressant Use in the Elderly Is Associated With an Increased Risk of Dementia. Alzheimer Disease & Associated Disorders. 30(2). 99–104. 42 indexed citations
4.
Gao, Sujuan, Hugh C. Hendrie, Chenkun Wang, et al.. (2014). Redefined Blood Pressure Variability Measure and Its Association With Mortality in Elderly Primary Care Patients. Hypertension. 64(1). 45–52. 38 indexed citations
5.
Mehrabi, Saeed, C. Max Schmidt, Joshua A. Waters, et al.. (2013). An Efficient Pancreatic Cyst Identification Methodology Using Natural Language Processing. Studies in health technology and informatics. 192. 822–6. 16 indexed citations
6.
Gao, Sujuan, Hugh C. Hendrie, Lili Yang, et al.. (2013). Increase in blood pressure precedes clinical depression in elderly primary care patients. International Journal of Geriatric Psychiatry. 28(10). 1099–1100. 7 indexed citations
7.
8.
Overhage, J. Marc, et al.. (2010). Comparing methods for identifying pancreatic cancer patients using electronic data sources.. PubMed. 2010. 237–41. 43 indexed citations
9.
Were, Martin C., et al.. (2010). Natural language processing to extract follow-up provider information from hospital discharge summaries.. PubMed. 2010. 872–6. 3 indexed citations
10.
Were, Martin C., et al.. (2009). Adequacy of Hospital Discharge Summaries in Documenting Tests with Pending Results and Outpatient Follow-up Providers. Journal of General Internal Medicine. 24(9). 1002–1006. 66 indexed citations
11.
Kho, Abel, Siu Hui, Joe Kesterson, & Clement J. McDonald. (2007). Which observations from the complete blood cell count predict mortality for hospitalized patients?. Journal of Hospital Medicine. 2(1). 5–12. 22 indexed citations
12.
Chalasani, Naga, Hisham Aljadhey, Joe Kesterson, Michael D. Murray, & Stephen D. Hall. (2004). Patients with elevated liver enzymes are not at higher risk for statin hepatotoxicity. Gastroenterology. 126(5). 1287–1292. 318 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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2026