Louis Vaickus

2.8k total citations
100 papers, 1.8k citations indexed

About

Louis Vaickus is a scholar working on Oncology, Immunology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Louis Vaickus has authored 100 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Oncology, 25 papers in Immunology and 22 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Louis Vaickus's work include AI in cancer detection (19 papers), Radiomics and Machine Learning in Medical Imaging (12 papers) and Immune Cell Function and Interaction (10 papers). Louis Vaickus is often cited by papers focused on AI in cancer detection (19 papers), Radiomics and Machine Learning in Medical Imaging (12 papers) and Immune Cell Function and Interaction (10 papers). Louis Vaickus collaborates with scholars based in United States, United Kingdom and Austria. Louis Vaickus's co-authors include Raymond P. Perez, Joshua Levy, Daniel G. Remick, Panos Fidias, Brock C. Christensen, Arief A. Suriawinata, Rosemary Tambouret, Kenneth A. Foon, William C. Faquin and Jacqueline Bouchard and has published in prestigious journals such as Journal of Clinical Oncology, Blood and The Journal of Immunology.

In The Last Decade

Louis Vaickus

96 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Louis Vaickus United States	24	412	405	394	312	300	100	1.8k
Barbara M. Klinkhammer Germany	25	237 0.6×	218 0.5×	160 0.4×	521 1.7×	303 1.0×	60	2.0k
Johannes Lotz Germany	25	206 0.5×	142 0.4×	180 0.5×	269 0.9×	224 0.7×	70	1.6k
Isabella Ellinger Austria	21	290 0.7×	229 0.6×	554 1.4×	495 1.6×	98 0.3×	62	1.9k
Vipul C. Chitalia United States	30	129 0.3×	250 0.6×	330 0.8×	905 2.9×	260 0.9×	94	2.5k
Georg Steiner Austria	26	114 0.3×	426 1.1×	452 1.1×	668 2.1×	232 0.8×	40	2.2k
Xiaojun Chen China	31	260 0.6×	343 0.8×	501 1.3×	933 3.0×	264 0.9×	201	3.0k
J E Tomaszewski United States	22	499 1.2×	175 0.4×	490 1.2×	829 2.7×	505 1.7×	45	3.1k
Sabine Leh Norway	23	143 0.3×	129 0.3×	225 0.6×	267 0.9×	199 0.7×	85	1.3k
Carlos López Spain	16	148 0.4×	232 0.6×	267 0.7×	139 0.4×	90 0.3×	67	1.2k
John H. Yim United States	30	130 0.3×	585 1.4×	1.0k 2.6×	684 2.2×	539 1.8×	79	2.6k

Countries citing papers authored by Louis Vaickus

Since Specialization

Citations

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

Fields of papers citing papers by Louis Vaickus

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Louis Vaickus

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

All Works

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20 of 20 papers shown

Vaickus, Louis, et al.. (2025). Machine learning, deep learning, and artificial intelligence as applied to the field of cytopathology: a comprehensive review. Journal of the American Society of Cytopathology. 15(1). 4–22.

Diallo, Alos, Gokul Raghavendra Srinivasan, Kelli B. Pointer, et al.. (2025). Feasibility of Inferring Spatial Transcriptomics from Single-Cell Histological Patterns for Studying Colon Cancer Tumor Heterogeneity. 444–458.

Diallo, Alos, Vasanth Ravikumar, Kevin A. Cornell, et al.. (2024). Integrative co-registration of elemental imaging and histopathology for enhanced spatial multimodal analysis of tissue sections through TRACE. Bioinformatics Advances. 5(1). vbaf001–vbaf001.

Levy, Joshua, Michael J. Davis, Brock C. Christensen, et al.. (2024). Intraoperative margin assessment for basal cell carcinoma with deep learning and histologic tumor mapping to surgical site. npj Precision Oncology. 8(1). 2–2. 8 indexed citations

Levy, Joshua, et al.. (2023). Paired-agent imaging as a rapid en face margin screening method in Mohs micrographic surgery. Frontiers in Oncology. 13. 1196517–1196517. 1 indexed citations

Levy, Joshua, Jonathan D. Marotti, Darcy A. Kerr, et al.. (2023). Large‐scale validation study of an improved semiautonomous urine cytology assessment tool: AutoParis‐X. Cancer Cytopathology. 131(10). 637–654. 9 indexed citations

Levy, Joshua, Darcy A. Kerr, Louis Vaickus, et al.. (2023). Use of molecular testing results to analyze the overuse of atypia of undetermined significance in thyroid cytology. Journal of the American Society of Cytopathology. 12(6). 451–460. 4 indexed citations

Levy, Joshua, Jonathan D. Marotti, Darcy A. Kerr, et al.. (2023). Examining longitudinal markers of bladder cancer recurrence through a semiautonomous machine learning system for quantifying specimen atypia from urine cytology. Cancer Cytopathology. 131(9). 561–573. 7 indexed citations

Srinivasan, Gokul Raghavendra, Sophie Chen, Louis Vaickus, et al.. (2023). A deep learning algorithm to detect cutaneous squamous cell carcinoma on frozen sections in Mohs micrographic surgery: A retrospective assessment. Experimental Dermatology. 33(1). e14949–e14949. 8 indexed citations

10.

Levy, Joshua, Xiaoying Liu, Jonathan D. Marotti, et al.. (2022). Large-scale longitudinal comparison of urine cytological classification systems reveals potential early adoption of The Paris System criteria. Journal of the American Society of Cytopathology. 11(6). 394–402. 3 indexed citations

11.

Levy, Joshua, Xiaoying Liu, Jonathan D. Marotti, et al.. (2022). Uncovering additional predictors of urothelial carcinoma from voided urothelial cell clusters through a deep learning–based image preprocessing technique. Cancer Cytopathology. 131(1). 19–29. 9 indexed citations

12.

Marotti, Jonathan D., Darcy A. Kerr, Joshua Levy, et al.. (2021). Using molecular testing to improve the management of thyroid nodules with indeterminate cytology: an institutional experience with review of molecular alterations. Journal of the American Society of Cytopathology. 11(2). 79–86. 16 indexed citations

13.

Levy, Joshua, Youdinghuan Chen, Curtis L. Petersen, et al.. (2021). MethylSPWNet and MethylCapsNet: Biologically Motivated Organization of DNAm Neural Networks, Inspired by Capsule Networks. npj Systems Biology and Applications. 7(1). 33–33. 12 indexed citations

14.

Kerr, Darcy A., et al.. (2020). Fine needle aspiration of an intranodal follicular dendritic cell sarcoma: A case report with molecular analysis and review of the literature. Diagnostic Cytopathology. 49(2). E65–E70. 6 indexed citations

15.

Levy, Joshua, Arief A. Suriawinata, Xiaoying Liu, et al.. (2020). A large-scale internal validation study of unsupervised virtual trichrome staining technologies on nonalcoholic steatohepatitis liver biopsies. Modern Pathology. 34(4). 808–822. 29 indexed citations

16.

Levy, Joshua, Christian C. Haudenschild, Clark Barwick, Brock C. Christensen, & Louis Vaickus. (2020). Topological Feature Extraction and Visualization of Whole Slide Images using Graph Neural Networks. PubMed. 26. 285–296. 28 indexed citations

17.

Levy, Joshua, Lucas A. Salas, Brock C. Christensen, Aravindhan Sriharan, & Louis Vaickus. (2019). PathFlowAI: A High-Throughput Workflow for Preprocessing, Deep Learning and Interpretation in Digital Pathology. PubMed. 25. 403–414. 11 indexed citations

18.

Vaickus, Louis, et al.. (1993). Antiidiotype (Ab2) Vaccine Therapy for Cutaneous T‐Cell Lymphomaa. Annals of the New York Academy of Sciences. 690(1). 376–377. 12 indexed citations

19.

Bernstein, Zale P., Louis Vaickus, Neil Friedman, et al.. (1991). Interleukin-2 Lymphokine-Activated Killer Cell Therapy of Non-Hodgkinʼs Lymphoma and Hodgkinʼs Disease. Journal of Immunotherapy. 10(2). 141–146. 23 indexed citations

20.

Dawson, Douglas, et al.. (1989). Nuclear magnetic resonance spectroscopy of plasma for the detection of head and neck cancer. American Journal of Otolaryngology. 10(4). 244–249. 2 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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