Todd Schlachter

1.9k total citations · 1 hit paper
43 papers, 1.3k citations indexed

About

Todd Schlachter is a scholar working on Hepatology, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Todd Schlachter has authored 43 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Hepatology, 19 papers in Pulmonary and Respiratory Medicine and 16 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Todd Schlachter's work include Hepatocellular Carcinoma Treatment and Prognosis (26 papers), Radiomics and Machine Learning in Medical Imaging (11 papers) and MRI in cancer diagnosis (7 papers). Todd Schlachter is often cited by papers focused on Hepatocellular Carcinoma Treatment and Prognosis (26 papers), Radiomics and Machine Learning in Medical Imaging (11 papers) and MRI in cancer diagnosis (7 papers). Todd Schlachter collaborates with scholars based in United States, Germany and Netherlands. Todd Schlachter's co-authors include MingDe Lin, Julius Chapiro, Lynn Jeanette Savic, Isabel Schobert, James S. Duncan, Brian Letzen, Charlie Alexander Hamm, Clinton J. Wang, Jeffrey C. Weinreb and Marc Ferrante and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Clinical Cancer Research.

In The Last Decade

Todd Schlachter

42 papers receiving 1.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Deep learning for liver tumor diagnosis part I: development of a convolutional neural network classifier for multi-phasic MRI

2019 245 citations Charlie Alexander Hamm, Lynn Jeanette Savic et al. European Radiology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Todd Schlachter United States	16	634	605	293	260	221	43	1.3k
Lynn Jeanette Savic Germany	22	722 1.1×	780 1.3×	296 1.0×	309 1.2×	290 1.3×	62	1.6k
Xiaochun Meng China	18	259 0.4×	648 1.1×	262 0.9×	425 1.6×	152 0.7×	63	1.3k
Xuehao Wang China	13	350 0.6×	534 0.9×	284 1.0×	197 0.8×	150 0.7×	33	919
Isabel Schobert Germany	9	335 0.5×	410 0.7×	99 0.3×	127 0.5×	109 0.5×	18	694
Gu‐Wei Ji China	14	287 0.5×	539 0.9×	311 1.1×	236 0.9×	84 0.4×	36	940
JingXian Shen China	14	497 0.8×	199 0.3×	219 0.7×	299 1.1×	204 0.9×	34	1.0k
Mengsu Zeng China	18	676 1.1×	723 1.2×	312 1.1×	287 1.1×	205 0.9×	42	1.1k
Xinming Zhao China	17	215 0.3×	1.0k 1.7×	248 0.8×	252 1.0×	67 0.3×	51	1.3k
Diego A.S. Toesca United States	15	163 0.3×	336 0.6×	225 0.8×	198 0.8×	87 0.4×	41	717
Ji Hye Min South Korea	23	911 1.4×	649 1.1×	491 1.7×	473 1.8×	603 2.7×	117	1.8k

Countries citing papers authored by Todd Schlachter

Since Specialization

Citations

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

Fields of papers citing papers by Todd Schlachter

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Todd Schlachter

This figure shows the co-authorship network connecting the top 25 collaborators of Todd Schlachter. A scholar is included among the top collaborators of Todd Schlachter 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 Todd Schlachter. Todd Schlachter 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

Hufnagle, John, et al.. (2025). Endovascular Embolization versus Observation of Congenital Renal Arteriovenous Malformations: A Retrospective Study. Journal of Vascular and Interventional Radiology. 36(6). 988–993.e1. 1 indexed citations

Wang, Daniel, et al.. (2024). Recurrence of Pulmonary Arteriovenous Malformation after Embolization in Patients with Pulmonary Hypertension. Journal of Vascular and Interventional Radiology. 35(8). 1148–1153. 2 indexed citations

Antoch, Gerald, et al.. (2023). Hepatic Hypertrophy in Normal and Cirrhotic Livers Following Portal Vein Embolization: Comparative Assessment of 2 Different Embolic Regimens in a Large Animal Model. Journal of Vascular and Interventional Radiology. 34(12). 2162–2172.e2. 3 indexed citations

Sailer, Anne, et al.. (2023). Pulmonary artery pseudoaneurysms: a single-center experience of endovascular occlusion. CVIR Endovascular. 6(1). 60–60. 3 indexed citations

Pollak, Jeffrey, et al.. (2023). Twenty-Seven-Year Retrospective Review of Hemoptysis from Systemic Collaterals Following Pulmonary Arteriovenous Malformation Embolization. CardioVascular and Interventional Radiology. 46(5). 670–674. 4 indexed citations

Staib, Lawrence H., et al.. (2022). Cryoablation of Venous Malformations: A Systematic Review. Journal of Vascular and Interventional Radiology. 33(8). 993–1000. 6 indexed citations

Gaupp, Fabian M. Laage, Lynn Jeanette Savic, Bernhard Gebauer, et al.. (2022). Impact of Chemoembolic Regimen on Immune Cell Recruitment and Immune Checkpoint Marker Expression following Transcatheter Arterial Chemoembolization in a VX2 Rabbit Liver Tumor Model. Journal of Vascular and Interventional Radiology. 33(7). 764–774.e4. 7 indexed citations

Malpani, Rohil, Junlin Yang, Tal Zeevi, et al.. (2021). Quantitative Automated Segmentation of Lipiodol Deposits on Cone-Beam CT Imaging Acquired during Transarterial Chemoembolization for Liver Tumors: A Deep Learning Approach. Journal of Vascular and Interventional Radiology. 33(3). 324–332.e2. 7 indexed citations

Bousabarah, Khaled, Brian Letzen, Lynn Jeanette Savic, et al.. (2020). Automated detection and delineation of hepatocellular carcinoma on multiphasic contrast-enhanced MRI using deep learning. Abdominal Radiology. 46(1). 216–225. 64 indexed citations

10.

Gaupp, Fabian M. Laage, Jean-François Geschwind, Lynn Jeanette Savic, et al.. (2020). Idarubicin-Loaded ONCOZENE Drug-Eluting Bead Chemoembolization in a Rabbit Liver Tumor Model: Investigating Safety, Therapeutic Efficacy, and Effects on Tumor Microenvironment. Journal of Vascular and Interventional Radiology. 31(10). 1706–1716.e1. 9 indexed citations

11.

Schobert, Isabel, Julius Chapiro, Nariman Nezami, et al.. (2019). Quantitative Imaging Biomarkers for⁹⁰Y Distribution on Bremsstrahlung SPECT After Resin-Based Radioembolization. Journal of Nuclear Medicine. 60(8). 1066–1072. 5 indexed citations

12.

Nezami, Nariman, Liliya Benchetrit, Igor Latich, & Todd Schlachter. (2019). Cholangiolithiasis postliver transplantation: Successful treatment utilizing percutaneous transhepatic cholangioscopy and laser lithotripsy. SHILAP Revista de lepidopterología. 14(12). 1459–1466. 2 indexed citations

13.

Savic, Lynn Jeanette, Nariman Nezami, James S. Duncan, et al.. (2018). Predicting Treatment Response to Intra-arterial Therapies for Hepatocellular Carcinoma with the Use of Supervised Machine Learning—An Artificial Intelligence Concept. Journal of Vascular and Interventional Radiology. 29(6). 850–857.e1. 130 indexed citations

14.

Savic, Lynn Jeanette, Nariman Nezami, James S. Duncan, et al.. (2018). Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma. Journal of Visualized Experiments. 10 indexed citations

15.

Chapiro, Julius, Boris Gorodetski, Qiang Huang, et al.. (2017). Intra-arterial therapy of neuroendocrine tumour liver metastases: comparing conventional TACE, drug-eluting beads TACE and yttrium-90 radioembolisation as treatment options using a propensity score analysis model. European Radiology. 27(12). 4995–5005. 49 indexed citations

16.

Gorodetski, Boris, Julius Chapiro, Ruediger E. Schernthaner, et al.. (2016). Advanced-stage hepatocellular carcinoma with portal vein thrombosis: conventional versus drug-eluting beads transcatheter arterial chemoembolization. European Radiology. 27(2). 526–535. 59 indexed citations

17.

Durán, Rafael, Karun Sharma, Matthew R. Dreher, et al.. (2015). A Novel Inherently Radiopaque Bead for Transarterial Embolization to Treat Liver Cancer - A Pre-clinical Study. Theranostics. 6(1). 28–39. 73 indexed citations

18.

Chapiro, Julius, Rafael Durán, MingDe Lin, et al.. (2014). Transarterial chemoembolization in soft-tissue sarcoma metastases to the liver – The use of imaging biomarkers as predictors of patient survival. European Journal of Radiology. 84(3). 424–430. 37 indexed citations

19.

Durán, Rafael, Julius Chapiro, Constantine Frangakis, et al.. (2014). Uveal Melanoma Metastatic to the Liver: The Role of Quantitative Volumetric Contrast-Enhanced MR Imaging in the Assessment of Early Tumor Response after Transarterial Chemoembolization. Translational Oncology. 7(4). 447–455. 42 indexed citations

20.

Schlachter, Todd, et al.. (2011). AIRP Best Cases in Radiologic-Pathologic Correlation: Synovial Chondrosarcoma. Radiographics. 31(7). 1883–1888. 7 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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