Daniel R. Ludwig

3.3k total citations
125 papers, 1.9k citations indexed

About

Daniel R. Ludwig is a scholar working on Surgery, Radiology, Nuclear Medicine and Imaging and Hepatology. According to data from OpenAlex, Daniel R. Ludwig has authored 125 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Surgery, 25 papers in Radiology, Nuclear Medicine and Imaging and 21 papers in Hepatology. Recurrent topics in Daniel R. Ludwig's work include Insect Utilization and Effects (14 papers), Hepatocellular Carcinoma Treatment and Prognosis (13 papers) and Liver Disease Diagnosis and Treatment (13 papers). Daniel R. Ludwig is often cited by papers focused on Insect Utilization and Effects (14 papers), Hepatocellular Carcinoma Treatment and Prognosis (13 papers) and Liver Disease Diagnosis and Treatment (13 papers). Daniel R. Ludwig collaborates with scholars based in United States, Italy and Canada. Daniel R. Ludwig's co-authors include Tyler J. Fraum, Kathryn J. Fowler, Mustafa R. Bashir, David Schwartzman, Erik B. Schelbert, John Gorcsan, Amber Salter, Toshinari Onishi, Samir K. Saha and Tetsuari Onishi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Gastroenterology and Cell Metabolism.

In The Last Decade

Daniel R. Ludwig

116 papers receiving 1.8k citations

Peers

Daniel R. Ludwig

RNMI

CCM

SURGE

HEPAT

EPIDE

Peter Bernhardt United States

Yinyin Li China

J.G. Baust United States

Hiroyuki Okamoto Japan

Akira Sugiyama Japan

Ian James United Kingdom

Yasuyuki Kurihara Japan

Enrique Ortega Mexico

Hugh Mitchell United States

Yoshiaki Miura Japan

Peter Bernhardt United States

Daniel R. Ludwig

99 ×0.2

RNMI

236 ×0.5

CCM

1.0k ×4.3

SURGE

72 ×0.3

HEPAT

250 ×1.1

EPIDE

Citations per year, relative to Daniel R. Ludwig Daniel R. Ludwig (= 1×) peers Peter Bernhardt

Countries citing papers authored by Daniel R. Ludwig

Since Specialization

Citations

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

Fields of papers citing papers by Daniel R. Ludwig

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel R. Ludwig. 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 Daniel R. Ludwig. The network helps show where Daniel R. Ludwig may publish in the future.

Co-authorship network of co-authors of Daniel R. Ludwig

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel R. Ludwig. A scholar is included among the top collaborators of Daniel R. Ludwig 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 Daniel R. Ludwig. Daniel R. Ludwig 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

Konstantinoff, Katerina, et al.. (2024). Challenges in Ultrasound of the Gallbladder and Bile Ducts. Radiologic Clinics of North America. 63(1). 45–55. 1 indexed citations

Shetty, Anup S., Tyler J. Fraum, Daniel R. Ludwig, et al.. (2024). Imaging of the Inferior Mesenteric Vasculature. Radiographics. 44(11). e240047–e240047. 1 indexed citations

Konstantinoff, Katerina, Daniel R. Ludwig, Kedar Sharbidre, Hina Arif‐Tiwari, & Malak Itani. (2024). Gallbladder and biliary pathology: lessons learned from multidisciplinary conference. Abdominal Radiology. 50(2). 916–935.

Abushamma, Suha, Radhika Smith, John A. Hickman, et al.. (2023). Su1755 DIFFERENCES IN FISTULA VOLUME PREDICT NEED FOR PERIANAL SURGERY IN PATIENTS WITH PERIANAL FISTULIZING CROHN'S DISEASE. Gastroenterology. 164(6). S–666. 1 indexed citations

Jiang, Hanyu, Christian B. van der Pol, Jean‐Paul Salameh, et al.. (2023). Comparative Performance of 2018 LI‐RADS versus Modified LIRADS (mLI‐RADS): An Individual Participant Data Meta‐Analysis. Journal of Magnetic Resonance Imaging. 60(3). 1082–1091. 1 indexed citations

Ballard, David H., Amber Salter, Muhammad Naeem, et al.. (2023). Female-specific pancreatic cancer survival from CT imaging of visceral fat implicates glutathione metabolism in solid tumors. Academic Radiology. 31(6). 2312–2323. 2 indexed citations

Chin, R, Tyler J. Fraum, Daniel R. Ludwig, et al.. (2022). Clinical Outcomes of Patients With Unresectable Primary Liver Cancer Treated With Yttrium-90 Radioembolization With an Escalated Dose. Advances in Radiation Oncology. 7(4). 100948–100948. 6 indexed citations

Salter, Amber, Marcus P. Watkins, Daniel R. Ludwig, et al.. (2022). Metabolic Biomarkers Assessed with PET/CT Predict Sex-Specific Longitudinal Outcomes in Patients with Diffuse Large B-Cell Lymphoma. Cancers. 14(12). 2932–2932. 5 indexed citations

Ludwig, Daniel R., et al.. (2022). Spilling the beans: an inside scoop on the imaging of renal parenchymal disease. Abdominal Radiology. 47(7). 2420–2441.

10.

Ludwig, Daniel R., et al.. (2022). Implementation of a peer-learning program in an academic abdominal radiology practice and comparison with a traditional peer-review system. Abdominal Radiology. 47(7). 2509–2519. 3 indexed citations

11.

Zulfiqar, Maria, et al.. (2022). Imaging features of marginal ulcers on multidetector CT. Clinical Radiology. 78(3). 227–233. 2 indexed citations

12.

Morgan, Matthew A., Karthik M. Sundaram, Daniel R. Ludwig, et al.. (2022). Primary sclerosing cholangitis: review for radiologists. Abdominal Radiology. 48(1). 136–150. 9 indexed citations

13.

Ludwig, Daniel R., et al.. (2019). Diagnostic performance of Liver Imaging Reporting and Data System (LI-RADS) v2017 in predicting malignant liver lesions in pediatric patients: a preliminary study. Pediatric Radiology. 49(6). 746–758. 10 indexed citations

14.

Fraum, Tyler J., Daniel R. Ludwig, Sihao Chen, et al.. (2019). Repeatability of Quantitative Brown Adipose Tissue Imaging Metrics on Positron Emission Tomography with 18F-Fluorodeoxyglucose in Humans. Cell Metabolism. 30(1). 212–224.e4. 22 indexed citations

15.

Ludwig, Daniel R., Tyler J. Fraum, Roberto Cannella, et al.. (2019). Hepatocellular carcinoma (HCC) versus non-HCC: accuracy and reliability of Liver Imaging Reporting and Data System v2018. Abdominal Radiology. 44(6). 2116–2132. 53 indexed citations

16.

Fraum, Tyler J., Daniel R. Ludwig, Thomas A. Hope, & Kathryn J. Fowler. (2018). PET/MRI for Gastrointestinal Imaging. Gastroenterology Clinics of North America. 47(3). 691–714. 4 indexed citations

17.

Weaver, Michael, Daniel R. Ludwig, Kathryn J. Fowler, et al.. (2017). Serum alpha-fetoprotein level per total tumor volume as a predictor of recurrence of hepatocellular carcinoma after resection. Surgery. 163(5). 1002–1007. 11 indexed citations

18.

Onishi, Toshinari, Samir K. Saha, Antonia Delgado-Montero, et al.. (2015). Global Longitudinal Strain and Global Circumferential Strain by Speckle-Tracking Echocardiography and Feature-Tracking Cardiac Magnetic Resonance Imaging: Comparison with Left Ventricular Ejection Fraction. Journal of the American Society of Echocardiography. 28(5). 587–596. 123 indexed citations

19.

Ludwig, Daniel R., et al.. (2013). Deterioration of left ventricular ejection fraction and contraction synchrony during right ventricular pacing in patients with left bundle branch block. Journal of Nuclear Cardiology. 20(5). 830–834. 1 indexed citations

20.

Ludwig, Daniel R., et al.. (1990). What's bugging your birds? Avian parasitic arthropods.. 6(2). 155–203. 16 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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