Mark A. Ziegler

498 total citations
8 papers, 254 citations indexed

About

Mark A. Ziegler is a scholar working on Oncology, Radiation and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Mark A. Ziegler has authored 8 papers receiving a total of 254 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Oncology, 4 papers in Radiation and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Mark A. Ziegler's work include Advanced Radiotherapy Techniques (4 papers), Pancreatic and Hepatic Oncology Research (3 papers) and Radiomics and Machine Learning in Medical Imaging (1 paper). Mark A. Ziegler is often cited by papers focused on Advanced Radiotherapy Techniques (4 papers), Pancreatic and Hepatic Oncology Research (3 papers) and Radiomics and Machine Learning in Medical Imaging (1 paper). Mark A. Ziegler collaborates with scholars based in United States, Germany and Canada. Mark A. Ziegler's co-authors include Joseph M. Herman, Aaron T. Wild, Marcia Irene Canto, Timothy M. Pawlik, Phuoc T. Tran, Raj J. Shah, Alexander S. Rosemurgy, E. Tryggestad, Kenneth J. Chang and Daniel A. Laheru and has published in prestigious journals such as Journal of Clinical Oncology, Medical Physics and Gastrointestinal Endoscopy.

In The Last Decade

Mark A. Ziegler

8 papers receiving 247 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mark A. Ziegler United States 6 181 89 70 69 38 8 254
Kunli Zhu China 13 233 1.3× 97 1.1× 80 1.1× 113 1.6× 20 0.5× 28 342
Brigitte C.M. Haberkorn Netherlands 11 191 1.1× 106 1.2× 37 0.5× 49 0.7× 15 0.4× 19 248
Sandra S. Zaky United States 5 146 0.8× 82 0.9× 110 1.6× 53 0.8× 28 0.7× 14 285
Mihir Shanker Australia 9 45 0.2× 67 0.8× 111 1.6× 61 0.9× 24 0.6× 28 247
Gitte‐Bettina Nyvang Denmark 7 93 0.5× 31 0.3× 46 0.7× 115 1.7× 57 1.5× 10 303
Luca Tondulli Italy 9 174 1.0× 114 1.3× 18 0.3× 107 1.6× 10 0.3× 14 285
Rituraj Upadhyay United States 9 98 0.5× 116 1.3× 37 0.5× 30 0.4× 30 0.8× 38 253
Xiao Hu China 9 127 0.7× 118 1.3× 40 0.6× 72 1.0× 7 0.2× 33 267
Sebastian Cummins United Kingdom 2 231 1.3× 122 1.4× 93 1.3× 80 1.2× 16 0.4× 3 283
Ryan Assadi United States 4 245 1.4× 130 1.5× 44 0.6× 40 0.6× 42 1.1× 6 313

Countries citing papers authored by Mark A. Ziegler

Since Specialization
Citations

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

Fields of papers citing papers by Mark A. Ziegler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark A. Ziegler. 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 Mark A. Ziegler. The network helps show where Mark A. Ziegler may publish in the future.

Co-authorship network of co-authors of Mark A. Ziegler

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

All Works

8 of 8 papers shown
1.
Toriola, Adetunji T., Mark A. Ziegler, Yize Li, Michaël Pollak, & Rachael Z. Stolzenberg‐Solomon. (2017). Prediagnosis Circulating Insulin-Like Growth Factors and Pancreatic Cancer Survival. Annals of Surgical Oncology. 24(11). 3212–3219. 7 indexed citations
2.
Fan, Katherine, Aaron T. Wild, Vivek Gowdra Halappa, et al.. (2016). Neuroendocrine tumor liver metastases treated with yttrium-90 radioembolization. Contemporary Clinical Trials. 50. 143–149. 21 indexed citations
4.
Herman, Joseph M., Aaron T. Wild, Hao Wang, et al.. (2013). Randomized Phase III Multi-Institutional Study of TNFerade Biologic With Fluorouracil and Radiotherapy for Locally Advanced Pancreatic Cancer: Final Results. Journal of Clinical Oncology. 31(7). 886–894. 129 indexed citations
5.
Khashab, Mouen A., Katherine J. Kim, E. Tryggestad, et al.. (2012). Comparative analysis of traditional and coiled fiducials implanted during EUS for pancreatic cancer patients receiving stereotactic body radiation therapy. Gastrointestinal Endoscopy. 76(5). 962–971. 68 indexed citations
6.
Kim, Katherine, E. Tryggestad, Aaron T. Wild, et al.. (2012). Sa1522 Comparative Analysis of Traditional and Visicoil Fiducials Implanted During Endoscopic Ultrasound for Pancreatic Cancer Patients Receiving Stereotactic Body Radiation Therapy. Gastrointestinal Endoscopy. 75(4). AB190–AB190. 1 indexed citations
7.
Newhauser, Wayne, et al.. (2005). TH-C-T-617-05: Monte Carlo Simulations of a Nozzle for the Treatment of Ocular Tumors with High-Energy Proton Beams. Medical Physics. 32(6Part21). 2165–2165. 4 indexed citations
8.
Ziegler, Mark A., et al.. (2003). Was leistet die abdominelle B-Bild-Diagnostik mit einem tragbaren Ultraschallgerät im Vergleich mit einem High-End-Gerät? Ergebnisse einer Pilotstudie. Ultraschall in der Medizin - European Journal of Ultrasound. 24(2). 96–100. 10 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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