Jerome Cheng

1.1k total citations
49 papers, 627 citations indexed

About

Jerome Cheng is a scholar working on Artificial Intelligence, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Jerome Cheng has authored 49 papers receiving a total of 627 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 11 papers in Molecular Biology and 9 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Jerome Cheng's work include AI in cancer detection (21 papers), Radiomics and Machine Learning in Medical Imaging (8 papers) and Cell Image Analysis Techniques (7 papers). Jerome Cheng is often cited by papers focused on AI in cancer detection (21 papers), Radiomics and Machine Learning in Medical Imaging (8 papers) and Cell Image Analysis Techniques (7 papers). Jerome Cheng collaborates with scholars based in United States, Canada and Netherlands. Jerome Cheng's co-authors include Ulysses J. Balis, Liron Pantanowitz, David S. McClintock, Jason Hipp, Anant Madabhushi, James Monaco, Maria Westerhoff, Mehmet Toner, Michael R. Emmert‐Buck and Ronald G. Tompkins and has published in prestigious journals such as SHILAP Revista de lepidopterología, Annals of Neurology and Neuroscience.

In The Last Decade

Jerome Cheng

47 papers receiving 614 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jerome Cheng United States 14 305 185 117 101 100 49 627
Giovanni Lujan United States 11 325 1.1× 217 1.2× 74 0.6× 111 1.1× 92 0.9× 20 584
Esther Abels United States 9 314 1.0× 227 1.2× 56 0.5× 91 0.9× 103 1.0× 12 582
Andrew Zhang United States 4 362 1.2× 265 1.4× 88 0.8× 84 0.8× 68 0.7× 6 619
Ramón Viñas United Kingdom 6 263 0.9× 187 1.0× 134 1.1× 82 0.8× 70 0.7× 9 523
Meriem Sefta France 5 347 1.1× 305 1.6× 143 1.2× 157 1.6× 87 0.9× 6 688
Nikolas Stathonikos Netherlands 14 508 1.7× 328 1.8× 78 0.7× 124 1.2× 108 1.1× 32 687
Benoît Schmauch France 8 370 1.2× 448 2.4× 111 0.9× 126 1.2× 74 0.7× 14 763
Mane Williams United States 5 431 1.4× 338 1.8× 127 1.1× 107 1.1× 80 0.8× 6 707
José E. Velázquez Vega United States 7 403 1.3× 414 2.2× 153 1.3× 120 1.2× 78 0.8× 15 821
Charlie Saillard France 6 379 1.2× 433 2.3× 116 1.0× 146 1.4× 76 0.8× 12 754

Countries citing papers authored by Jerome Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Jerome Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jerome Cheng

This figure shows the co-authorship network connecting the top 25 collaborators of Jerome Cheng. A scholar is included among the top collaborators of Jerome Cheng 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 Jerome Cheng. Jerome Cheng 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.
Hakimian, David, Maria Westerhoff, Jerome Cheng, et al.. (2025). The Histologic Spectrum of Rituximab-Associated Common Variable Immunodeficiency-Like Enteropathy. Modern Pathology. 38(8). 100770–100770. 1 indexed citations
2.
3.
Cheng, Jerome, et al.. (2023). Utility of Machine Learning to Detect Cytomegalovirus in Digital Hematoxylin and Eosin–Stained Slides. Laboratory Investigation. 103(10). 100225–100225. 1 indexed citations
4.
Yao, Keluo, Xin Jing, Jerome Cheng, et al.. (2022). A Study of Thyroid Fine Needle Aspiration of Follicular Adenoma in the “Atypia of Undetermined Significance” Bethesda Category Using Digital Image Analysis. Journal of Pathology Informatics. 13. 100004–100004. 10 indexed citations
5.
Cheng, Jerome. (2022). Neural Network Assisted Pathology Case Identification. Journal of Pathology Informatics. 13. 100008–100008. 3 indexed citations
6.
Rowan, Daniel J., Kiran K. Mangalaparthi, Roger K. Moreira, et al.. (2021). Metallothionein immunohistochemistry has high sensitivity and specificity for detection of Wilson disease. Modern Pathology. 35(7). 946–955. 13 indexed citations
7.
Cheng, Jerome, et al.. (2021). Clinical significance of pathologic abnormalities in biopsy samples from the appendiceal orifice. Histopathology. 79(5). 751–757. 1 indexed citations
8.
Patel, Ankush, Ulysses J. Balis, Jerome Cheng, et al.. (2021). Contemporary Whole Slide Imaging Devices and Their Applications within the Modern Pathology Department: A Selected Hardware Review. Journal of Pathology Informatics. 12(1). 50–50. 67 indexed citations
9.
Cheng, Jerome, et al.. (2021). Transient elastography versus liver biopsy: discordance in evaluations for fibrosis and steatosis from a pathology standpoint. Modern Pathology. 34(10). 1955–1962. 15 indexed citations
10.
Cheng, Jerome, et al.. (2020). Challenges in the Development, Deployment, and Regulation of Artificial Intelligence in Anatomic Pathology. American Journal Of Pathology. 191(10). 1684–1692. 73 indexed citations
11.
Ouillette, Peter, Christopher L. Williams, John Blau, et al.. (2020). Display Characteristics and Their Impact on Digital Pathology: A Current Review of Pathologists’ Future “Microscope”. Journal of Pathology Informatics. 11(1). 23–23. 24 indexed citations
12.
Hipp, Jason, Jerome Cheng, Liron Pantanowitz, et al.. (2011). Image microarrays (IMA): Digital pathology’s missing tool. Journal of Pathology Informatics. 2(1). 47–47. 8 indexed citations
13.
Cheng, Jerome, Jason Hipp, James Monaco, et al.. (2011). Automated vector selection of SIVQ and parallel computing integration MATLABTM: Innovations supporting large-scale and high-throughput image analysis studies. Journal of Pathology Informatics. 2(1). 37–37. 9 indexed citations
14.
Hipp, Jason, Jerome Cheng, Jeffrey C. Hanson, et al.. (2011). SIVQ-aided laser capture microdissection: A tool for high-throughput expression profiling. Journal of Pathology Informatics. 2(1). 19–19. 23 indexed citations
15.
Hipp, Jason, Barbara J. McKenna, James Monaco, et al.. (2011). The need for the pathology community to sponsor a whole slide imaging repository with technical guidance from the pathology informatics community. Journal of Pathology Informatics. 2(1). 31–31. 15 indexed citations
16.
Baccaglini, Lorena, et al.. (2009). Design and statistical analysis of oral medicine studies: common pitfalls. Oral Diseases. 16(3). 233–241. 10 indexed citations
17.
Francis, Joseph, et al.. (2002). Kindling induces the mRNA expression of methyl DNA-binding factors in the adult rat hippocampus. Neuroscience. 113(1). 79–87. 13 indexed citations
18.
Francis, Joseph, Benjamin Jung, Guangming Zhang, et al.. (2001). Perforant pathway kindling transiently induces the mRNA expression of GABA-B receptor subtypes R1A and R2 in the adult rat hippocampus. Molecular Brain Research. 91(1-2). 159–162. 9 indexed citations
19.
Sneddon, W. Bruce, et al.. (1990). Reduced GABA-mediated chloride flux in entorhinal cortex-kindled rat brains. Epilepsy Research. 6(1). 18–22. 17 indexed citations
20.
Kish, Stephen J., et al.. (1988). Brain neurotransmitters in glycine encephalopathy. Annals of Neurology. 24(3). 458–461. 11 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Giovanni Lujan Breakdown of academic impact, for papers by Esther Abels Breakdown of academic impact, for papers by Andrew Zhang Breakdown of academic impact, for papers by Ramón Viñas Breakdown of academic impact, for papers by Meriem Sefta Breakdown of academic impact, for papers by Nikolas Stathonikos Breakdown of academic impact, for papers by Benoît Schmauch Breakdown of academic impact, for papers by Mane Williams Breakdown of academic impact, for papers by José E. Velázquez Vega Breakdown of academic impact, for papers by Charlie Saillard
Rankless by CCL
2026