Jonathan C. Henriksen

1.1k total citations
19 papers, 819 citations indexed

About

Jonathan C. Henriksen is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Jonathan C. Henriksen has authored 19 papers receiving a total of 819 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Jonathan C. Henriksen's work include AI in cancer detection (5 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Alzheimer's disease research and treatments (3 papers). Jonathan C. Henriksen is often cited by papers focused on AI in cancer detection (5 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Alzheimer's disease research and treatments (3 papers). Jonathan C. Henriksen collaborates with scholars based in United States, Canada and Sweden. Jonathan C. Henriksen's co-authors include Stephen C. Schmechel, Anthony E. Rizzardi, Gregory J. Metzger, Rachel I. Vogel, Stefan E. Pambuccian, Amy P.N. Skubitz, Arthur T. Johnson, Joseph S. Koopmeiners, H. Evin Gulbahce and Christopher A. Warlick and has published in prestigious journals such as PLoS ONE, Cancer and Cancer Research.

In The Last Decade

Jonathan C. Henriksen

19 papers receiving 809 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jonathan C. Henriksen United States 14 227 154 149 149 135 19 819
Liwei Wang China 15 396 1.7× 158 1.0× 112 0.8× 69 0.5× 90 0.7× 65 1.1k
Matthew R. Fleming United States 10 475 2.1× 306 2.0× 95 0.6× 75 0.5× 47 0.3× 36 1.2k
Lina Zhu China 16 415 1.8× 197 1.3× 101 0.7× 44 0.3× 35 0.3× 60 913
Liangliang Chen China 12 120 0.5× 106 0.7× 221 1.5× 99 0.7× 33 0.2× 60 609
Michael Yu United States 16 302 1.3× 455 3.0× 324 2.2× 180 1.2× 22 0.2× 59 1.0k
Juha Näpänkangas Finland 16 305 1.3× 367 2.4× 130 0.9× 96 0.6× 51 0.4× 35 1.0k
Ekokobe Fonkem United States 17 381 1.7× 180 1.2× 179 1.2× 67 0.4× 79 0.6× 71 1.2k
Chao Ma China 21 205 0.9× 369 2.4× 173 1.2× 552 3.7× 67 0.5× 120 1.3k
Antonia Gounaris Greece 16 293 1.3× 190 1.2× 94 0.6× 95 0.6× 112 0.8× 35 838

Countries citing papers authored by Jonathan C. Henriksen

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan C. Henriksen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan C. Henriksen. 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 Jonathan C. Henriksen. The network helps show where Jonathan C. Henriksen may publish in the future.

Co-authorship network of co-authors of Jonathan C. Henriksen

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

All Works

19 of 19 papers shown
1.
Lee, Cecilia S., Caitlin S. Latimer, Jonathan C. Henriksen, et al.. (2021). Application of deep learning to understand resilience to Alzheimer's disease pathology. Brain Pathology. 31(6). e12974–e12974. 9 indexed citations
2.
Henriksen, Jonathan C., Patrick J. Cimino, Caitlin S. Latimer, et al.. (2020). Rapid Validation of Telepathology by an Academic Neuropathology Practice During the COVID-19 Pandemic. Archives of Pathology & Laboratory Medicine. 144(11). 1311–1320. 12 indexed citations
3.
Henriksen, Jonathan C., Anthony E. Rizzardi, Jin Jin, et al.. (2019). Signature maps for automatic identification of prostate cancer from colorimetric analysis of H&E- and IHC-stained histopathological specimens. Scientific Reports. 9(1). 6992–6992. 8 indexed citations
4.
Latimer, Caitlin S., Nicole F. Liachko, Mitchell D. Kilgore, et al.. (2019). Resistance and resilience to Alzheimer’s disease pathology are associated with reduced cortical pTau and absence of limbic-predominant age-related TDP-43 encephalopathy in a community-based cohort. Acta Neuropathologica Communications. 7(1). 91–91. 75 indexed citations
5.
Borgatti, Antonella, Joseph S. Koopmeiners, Aaron L. Sarver, et al.. (2017). Safe and Effective Sarcoma Therapy through Bispecific Targeting of EGFR and uPAR. Molecular Cancer Therapeutics. 16(5). 956–965. 33 indexed citations
6.
Parker, Elizabeth U., et al.. (2017). NDER. Academic Pathology. 4. 1531691189–1531691189. 16 indexed citations
7.
Reder, Nicholas P., Suzanne M. Dintzis, Mara H. Rendi, et al.. (2016). NDER: A novel web application using annotated whole slide images for rapid improvements in human pattern recognition. Journal of Pathology Informatics. 7(1). 31–31. 5 indexed citations
8.
Metzger, Gregory J., Benjamin Spilseth, Patrick J. Bolan, et al.. (2016). Detection of Prostate Cancer: Quantitative Multiparametric MR Imaging Models Developed Using Registered Correlative Histopathology. Radiology. 279(3). 805–816. 41 indexed citations
9.
Rizzardi, Anthony E., Xiaotun Zhang, Rachel I. Vogel, et al.. (2016). Quantitative comparison and reproducibility of pathologist scoring and digital image analysis of estrogen receptor β2 immunohistochemistry in prostate cancer. Diagnostic Pathology. 11(1). 63–63. 31 indexed citations
10.
Montine, Thomas J., Sarah E. Monsell, Thomas G. Beach, et al.. (2015). Multisite assessment of NIA‐AA guidelines for the neuropathologic evaluation of Alzheimer's disease. Alzheimer s & Dementia. 12(2). 164–169. 81 indexed citations
11.
Rizzardi, Anthony E., Joseph S. Koopmeiners, Rachel I. Vogel, et al.. (2014). Evaluation of protein biomarkers of prostate cancer aggressiveness. BMC Cancer. 14(1). 244–244. 35 indexed citations
12.
Rizzardi, Anthony E., Rachel I. Vogel, Joseph S. Koopmeiners, et al.. (2014). Elevated hyaluronan and hyaluronan‐mediated motility receptor are associated with biochemical failure in patients with intermediate‐grade prostate tumors. Cancer. 120(12). 1800–1809. 37 indexed citations
13.
Skubitz, Amy P.N., J. Carlos Manivel, Stephen C. Schmechel, et al.. (2013). Expression of FAP, ADAM12, WISP1, and SOX11 is heterogeneous in aggressive fibromatosis and spatially relates to the histologic features of tumor activity. Cancer Medicine. 3(1). 81–90. 21 indexed citations
14.
Guo, Zhijun, Jonathan C. Henriksen, Robert J. Schumacher, et al.. (2013). Abstract 82: CYP3A4 promotes mammary carcinoma angiogenesis in a cell iIntrinsic fashion.. Cancer Research. 73(8_Supplement). 82–82. 1 indexed citations
15.
Dvorák, L, et al.. (2012). Correlation Between HER2 Determined by Fluorescence In Situ Hybridization and Reverse Transcription-Polymerase Chain Reaction of the Oncotype DX Test. Applied immunohistochemistry & molecular morphology. 21(3). 196–199. 20 indexed citations
16.
Metzger, Gregory J., et al.. (2012). Development of Multigene Expression Signature Maps at the Protein Level from Digitized Immunohistochemistry Slides. PLoS ONE. 7(3). e33520–e33520. 18 indexed citations
17.
Rizzardi, Anthony E., Arthur T. Johnson, Rachel I. Vogel, et al.. (2012). Quantitative comparison of immunohistochemical staining measured by digital image analysis versus pathologist visual scoring. Diagnostic Pathology. 7(1). 42–42. 335 indexed citations
18.
Alsharif, Mariam, Jo‐Anne H. Young, Kay Savik, et al.. (2009). Time Trends in Fungal Infections as a Cause of Death in Hematopoietic Stem Cell Transplant Recipients. American Journal of Clinical Pathology. 132(5). 746–755. 24 indexed citations
19.
Henriksen, Jonathan C., et al.. (2008). Visual estimates of nucleus-to-nucleus ratios. Cancer. 114(5). 287–293. 17 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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