Todd Schlachter
- Hepatology top 1%
- Hepatocellular Carcinoma Treatment and Prognosis 26
- Liver Disease and Transplantation 6
- Health Informatics top 2%
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- Radiomics and Machine Learning in Medical Imaging 11
- MRI in cancer diagnosis 7
- Oncology top 10%
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- Renal cell carcinoma treatment 5
- Tracheal and airway disorders 5
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- Vascular Anomalies and Treatments 5
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- Cancer, Hypoxia, and Metabolism 4
- Co-authors
- MingDe LinJulius ChapiroLynn Jeanette SavicIsabel SchobertJames S. DuncanBrian LetzenCharlie Alexander HammClinton J. Wang
- Journals
- SHILAP Revista de lepidopterología (2 papers)Scientific Reports (1 paper)Clinical Cancer Research (1 paper)
- Partner nations
- United StatesGermanyNetherlands
In The Last Decade
Todd Schlachter
42 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 84
- Hepatology 634
- Health Informatics 85
- Radiology, Nuclear Medicine and Imaging 605
- Oncology 260
- Pulmonary and Respiratory Medicine 293
Countries citing papers authored by Todd Schlachter
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
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
The 25 scholars most cited alongside Todd Schlachter, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 2 | |
| 3 | 2023 | 3 | |
| 4 | 2023 | 3 | |
| 5 | 2023 | 4 | |
| 6 | 2022 | 6 | |
| 7 | 2022 | 7 | |
| 8 | 2021 | 7 | |
| 9 | 2020 | 64 | |
| 10 | 2020 | 9 | |
| 11 | 2019 | 5 | |
| 12 | 2019 | 2 | |
| 13 | 2018 | 130 | |
| 14 | 2018 | 10 | |
| 15 | 2017 | 49 | |
| 16 | 2016 | 59 | |
| 17 | 2015 | 73 | |
| 18 | 2014 | 37 | |
| 19 | 2014 | 42 | |
| 20 | 2011 | 7 |
About Todd Schlachter
Todd Schlachter is a scholar working on Hepatology, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine, having authored 43 papers that have together received 1.3k indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (26 papers), Radiomics and Machine Learning in Medical Imaging (11 papers), MRI in cancer diagnosis (7 papers), Liver Disease and Transplantation (6 papers), Renal cell carcinoma treatment (5 papers), Tracheal and airway disorders (5 papers), Vascular Anomalies and Treatments (5 papers) and Cancer, Hypoxia, and Metabolism (4 papers). The work is most often cited by research in Hepatology (634 citations), Health Informatics (85 citations) and Radiology, Nuclear Medicine and Imaging (605 citations). Todd Schlachter has collaborated with scholars based in United States, Germany and Netherlands. Frequent 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. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Clinical Cancer Research.
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.