Mark Goodwin

1.1k total citations
46 papers, 640 citations indexed

About

Mark Goodwin is a scholar working on Hepatology, Surgery and Epidemiology. According to data from OpenAlex, Mark Goodwin has authored 46 papers receiving a total of 640 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Hepatology, 17 papers in Surgery and 12 papers in Epidemiology. Recurrent topics in Mark Goodwin's work include Hepatocellular Carcinoma Treatment and Prognosis (13 papers), Liver Disease and Transplantation (11 papers) and Liver Disease Diagnosis and Treatment (11 papers). Mark Goodwin is often cited by papers focused on Hepatocellular Carcinoma Treatment and Prognosis (13 papers), Liver Disease and Transplantation (11 papers) and Liver Disease Diagnosis and Treatment (11 papers). Mark Goodwin collaborates with scholars based in Australia, United Kingdom and United States. Mark Goodwin's co-authors include Rinaldo Bellomo, Antoine Schneider, Anthony Schelleman, Lynne Johnson, Michael Bailey, Fergus Gleeson, Damien Stella, Claude B. Sirlin, Andrew Slater and Glenn M. Eastwood and has published in prestigious journals such as SHILAP Revista de lepidopterología, CHEST Journal and Critical Care.

In The Last Decade

Mark Goodwin

42 papers receiving 626 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 Goodwin Australia 13 214 194 168 163 153 46 640
Chad J. Fleming United States 12 246 1.1× 229 1.2× 55 0.3× 235 1.4× 155 1.0× 31 745
Nicola Guglielmo Italy 15 423 2.0× 186 1.0× 239 1.4× 213 1.3× 180 1.2× 70 828
Thierry Fourme France 10 220 1.0× 503 2.6× 112 0.7× 56 0.3× 206 1.3× 23 916
Lyndon Luk United States 16 175 0.8× 155 0.8× 41 0.2× 95 0.6× 99 0.6× 45 793
Apoorva Gogna Singapore 17 295 1.4× 416 2.1× 28 0.2× 133 0.8× 86 0.6× 72 745
Shiraz Rahim United States 6 171 0.8× 134 0.7× 50 0.3× 109 0.7× 79 0.5× 14 449
Catherine M. Tuite United States 15 347 1.6× 567 2.9× 36 0.2× 187 1.1× 163 1.1× 33 1.0k
J. Friese United States 13 218 1.0× 199 1.0× 107 0.6× 29 0.2× 82 0.5× 33 536
Bruce R. Baumgartner United States 13 157 0.7× 249 1.3× 37 0.2× 51 0.3× 63 0.4× 35 566
Vincent Ioos France 9 130 0.6× 915 4.7× 116 0.7× 120 0.7× 149 1.0× 16 1.1k

Countries citing papers authored by Mark Goodwin

Since Specialization
Citations

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

Fields of papers citing papers by Mark Goodwin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark Goodwin

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

All Works

20 of 20 papers shown
1.
Kutaiba, Numan, Himashi Peiris, Stefan R. Kachel, et al.. (2025). Impact of local data from patients with chronic liver disease on accuracy of a liver and spleen CT segmentation model trained on a public dataset. Monash University Research Portal (Monash University). 3. 100023–100023. 1 indexed citations
2.
Osunkwo, Ifeyinwa, Cheryl Courtlandt, Patience H. White, et al.. (2024). Results of a healthcare transition learning collaborative for emerging adults with sickle cell disease: the ST3P-UP study transition quality improvement collaborative. BMJ Quality & Safety. 34(11). 747–757. 3 indexed citations
3.
Kutaiba, Numan, et al.. (2024). The impact of hepatic and splenic volumetric assessment in imaging for chronic liver disease: a narrative review. Insights into Imaging. 15(1). 146–146. 3 indexed citations
4.
Kutaiba, Numan, et al.. (2023). Deep Learning for Computed Tomography Assessment of Hepatic Fibrosis and Cirrhosis: A Systematic Review. SHILAP Revista de lepidopterología. 1(4). 574–585. 5 indexed citations
5.
6.
Goh, Gerard S., Mark Goodwin, Jee‐Fu Huang, Helen Kavnoudias, & Andrew Holden. (2022). A Pilot First-in-Human Study of Embrace, a Polyethylene Glycol-Based Liquid Embolic Agent, in the Embolization of Malignant and Benign Hypervascular Tumors. Journal of Vascular and Interventional Radiology. 33(6). 660–667. 13 indexed citations
7.
Kutaiba, Numan, Peter J. Barnes, Eddie Lau, et al.. (2022). Radiation exposure from radiological procedures in liver transplant candidates with hepatocellular carcinoma. European Journal of Radiology. 158. 110656–110656. 1 indexed citations
8.
Maingard, Julian, et al.. (2021). Ultrasound‐guided portal vein puncture during Transjugular Intrahepatic Portosystemic Shunt: Technique and experience of a quaternary liver transplant hospital. Journal of Medical Imaging and Radiation Oncology. 66(1). 60–67. 2 indexed citations
9.
Maingard, Julian, et al.. (2019). Percutaneous transhepatic Laser lithotripsy for intrahepatic cholelithiasis. Diagnostic and Interventional Imaging. 100(12). 793–800. 13 indexed citations
10.
McGill, Monica M., et al.. (2019). Imaging hepatic angiomyolipomas: key features and avoiding errors. Clinical Radiology. 75(2). 88–99. 12 indexed citations
11.
Lim, Ruth, et al.. (2017). Upper extremity non-contrast magnetic resonance venography (MRV) compared to contrast enhanced MRV and ultrasound. Clinical Imaging. 45. 51–57. 5 indexed citations
12.
Schneider, Antoine, Mark Goodwin, Anthony Schelleman, et al.. (2014). Contrast-enhanced ultrasonography to evaluate changes in renal cortical microcirculation induced by noradrenaline: a pilot study. Critical Care. 18(6). 653–653. 55 indexed citations
13.
Schneider, Antoine, Anthony Schelleman, Mark Goodwin, et al.. (2014). Contrast-enhanced ultrasound evaluation of the renal microcirculation response to terlipressin in hepato-renal syndrome: a preliminary report. Renal Failure. 37(1). 175–179. 21 indexed citations
14.
Goodwin, Mark, et al.. (2014). Developing national selection processes for entry into postgraduate specialty training: the case of trauma and orthopedics in the United Kingdom. Current Reviews in Musculoskeletal Medicine. 7(2). 145–150. 1 indexed citations
15.
Schneider, Antoine, Mark Goodwin, & Rinaldo Bellomo. (2013). Measurement of kidney perfusion in critically ill Patients. Critical Care. 17(2). 220–220. 30 indexed citations
16.
Schneider, Antoine, Lynne Johnson, Mark Goodwin, Anthony Schelleman, & Rinaldo Bellomo. (2011). Bench-to-bedside review: Contrast enhanced ultrasonography - a promising technique to assess renal perfusion in the ICU. Critical Care. 15(3). 157–157. 64 indexed citations
17.
Goodwin, Mark, et al.. (2011). Diagnostic Challenges and Pitfalls in MR Imaging with Hepatocyte-specific Contrast Agents. Radiographics. 31(6). 1547–1568. 92 indexed citations
18.
Slater, Andrew, et al.. (2006). COPD Can Mimic the Appearance of Pneumothorax on Thoracic Ultrasound. CHEST Journal. 129(3). 545–550. 64 indexed citations
19.
Goodwin, Mark. (2004). The pitfalls of lung cancer screening. Cancer Imaging. 4(2). 52–57. 5 indexed citations
20.
Goodwin, Mark. (1989). User interfaces in C++ and object-oriented programming. CERN Document Server (European Organization for Nuclear 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.

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