Geoffrey Smith

1.7k total citations
45 papers, 492 citations indexed

About

Geoffrey Smith is a scholar working on Molecular Biology, Artificial Intelligence and Hematology. According to data from OpenAlex, Geoffrey Smith has authored 45 papers receiving a total of 492 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 7 papers in Artificial Intelligence and 7 papers in Hematology. Recurrent topics in Geoffrey Smith's work include AI in cancer detection (7 papers), Hematological disorders and diagnostics (5 papers) and Cancer Genomics and Diagnostics (5 papers). Geoffrey Smith is often cited by papers focused on AI in cancer detection (7 papers), Hematological disorders and diagnostics (5 papers) and Cancer Genomics and Diagnostics (5 papers). Geoffrey Smith collaborates with scholars based in United States, United Kingdom and Canada. Geoffrey Smith's co-authors include Alton B. Farris, Thomas E. Rogers, C. M. S. Cohen, Amy Feng, Giorgio V. Scagliotti, Howard Yeh, Luís Costa, Roger von Moos, Penella J. Woll and Vânia Hungria and has published in prestigious journals such as The Lancet, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Geoffrey Smith

42 papers receiving 481 citations

Peers

Geoffrey Smith
Ümit İnce Türkiye
Dennis W. K. Cotton United Kingdom
S M Ismail United Kingdom
Khalil Razvi Singapore
Sudhir Perincheri United States
Sae‐Ryung Kang South Korea
Qing Xu China
Lee Wheless United States
Ümit İnce Türkiye
Geoffrey Smith
Citations per year, relative to Geoffrey Smith Geoffrey Smith (= 1×) peers Ümit İnce

Countries citing papers authored by Geoffrey Smith

Since Specialization
Citations

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

Fields of papers citing papers by Geoffrey Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Geoffrey Smith

This figure shows the co-authorship network connecting the top 25 collaborators of Geoffrey Smith. A scholar is included among the top collaborators of Geoffrey Smith 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 Geoffrey Smith. Geoffrey Smith 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.
Lewis, Joshua E., et al.. (2024). Deep Learning-Based Integration of Morphology and Immunophenotype Predicts Molecular Genetic Subtypes of Multiple Myeloma. American Journal of Clinical Pathology. 162(Supplement_1). S154–S155. 1 indexed citations
2.
Jeong, Jiwoong, Ananth Reddy Bhimireddy, Thomas J. Kim, et al.. (2023). The EMory BrEast imaging Dataset (EMBED): A Racially Diverse, Granular Dataset of 3.4 Million Screening and Diagnostic Mammographic Images. Radiology Artificial Intelligence. 5(1). e220047–e220047. 38 indexed citations
3.
Bidot, Samuel, Jun Yin, Pengbo Zhou, et al.. (2023). Genetic Profiling of African American Patients With Prostatic Adenocarcinoma Metastatic to the Lymph Nodes: A Pilot Study. Archives of Pathology & Laboratory Medicine. 148(3). 310–317. 2 indexed citations
4.
Li, Xiaoxian, Ji‐Hoon Lee, Yuan Gao, et al.. (2023). Correlation of HER2 Protein Level With mRNA Level Quantified by RNAscope in Breast Cancer. Modern Pathology. 37(2). 100408–100408. 12 indexed citations
5.
Lewis, Joshua E., Michael Horwath, Geoffrey Smith, et al.. (2023). An Automated Pipeline for Differential Cell Counts on Whole-Slide Bone Marrow Aspirate Smears. Modern Pathology. 36(2). 100003–100003. 15 indexed citations
6.
Lewis, Joshua E., Michael Horwath, Geoffrey Smith, et al.. (2023). Machine Learning Models Predict Molecular Genetic Subtypes of Multiple Myeloma from Whole-Slide Bone Marrow Aspirate Smears. Blood. 142(Supplement 1). 7158–7158. 2 indexed citations
7.
Smith, Geoffrey, et al.. (2022). Revealing molecular architecture of FLT3 internal tandem duplication: Development and clinical validation of a web‐based application to generate accurate nomenclature. International Journal of Laboratory Hematology. 44(5). 918–927. 1 indexed citations
8.
Buchwald, Zachary S., Sibo Tian, Michael R. Rossi, et al.. (2020). Genomic copy number variation correlates with survival outcomes in WHO grade IV glioma. Scientific Reports. 10(1). 7355–7355. 10 indexed citations
9.
Sullivan, Harold C., Loren Gragert, Geoffrey Smith, et al.. (2020). A simple electronic tool for assessing amino acid sequence polymorphisms within exon-2 of HLA-DPB1 alleles. Human Immunology. 81(8). 430–436. 1 indexed citations
10.
Pinelli, David F., E. Kransdorf, Marcelo J. Pando, et al.. (2020). A blueprint for electronic utilization of ambiguous molecular HLA typing data in organ allocation systems and virtual crossmatch. Human Immunology. 81(2-3). 65–72. 4 indexed citations
11.
Liu, Xiaoying, et al.. (2020). Metastatic low‐grade endometrial stromal sarcoma after 24 years: A case report and review of recent molecular genetics. Diagnostic Cytopathology. 49(3). E99–E105. 3 indexed citations
12.
Smith, Geoffrey, et al.. (2018). Validation of a Customized Bioinformatics Pipeline for a Clinical Next-Generation Sequencing Test Targeting Solid Tumor–Associated Variants. Journal of Molecular Diagnostics. 20(3). 355–365. 9 indexed citations
13.
Smith, Geoffrey, et al.. (2017). Development of CD3 cell quantitation algorithms for renal allograft biopsy rejection assessment utilizing open source image analysis software. Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin. 472(2). 259–269. 13 indexed citations
14.
Farris, Alton B., C. M. S. Cohen, Thomas E. Rogers, & Geoffrey Smith. (2017). Whole Slide Imaging for Analytical Anatomic Pathology and Telepathology: Practical Applications Today, Promises, and Perils. Archives of Pathology & Laboratory Medicine. 141(4). 542–550. 43 indexed citations
15.
Davies, Kurtis D., Midhat S. Farooqi, Mike Gruidl, et al.. (2016). Multi-Institutional FASTQ File Exchange as a Means of Proficiency Testing for Next-Generation Sequencing Bioinformatics and Variant Interpretation. Journal of Molecular Diagnostics. 18(4). 572–579. 19 indexed citations
16.
Henry, David H., Saroj Vadhan‐Raj, Vera Hirsh, et al.. (2013). Delaying skeletal-related events in a randomized phase 3 study of denosumab versus zoledronic acid in patients with advanced cancer: an analysis of data from patients with solid tumors. Supportive Care in Cancer. 22(3). 679–687. 130 indexed citations
17.
Reddy, G. R., et al.. (2001). SEASONAL PREVALENCE OF THIRD-STAGE LARVAE OFDIROFILARIA IMMITISIN MOSQUITOES FROM FLORIDA AND LOUISIANA. Journal of Parasitology. 87(2). 322–329. 17 indexed citations
18.
Galea, Joseph, et al.. (1994). Omission of aspirin in patients following coronary artery bypass graft surgery. Journal of Clinical Pharmacy and Therapeutics. 19(6). 381–386. 3 indexed citations
19.
Greaves, M., et al.. (1993). The fate of circulating megakaryocytes during cardiopulmonary bypass. Journal of Thoracic and Cardiovascular Surgery. 106(4). 658–663. 8 indexed citations
20.
Izzat, Mohammad Bashar, P. Rajesh, & Geoffrey Smith. (1993). Use of retrograde cold crystalloid cardioplegia in a patient with unexpected cold agglutination. The Annals of Thoracic Surgery. 56(6). 1395–1397. 8 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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