Kate Liang

401 citations
16 papers · 231 · h-index 8

Impact in

Papers in

Kate Liang

14 papers receiving 230 citations

Peers

Kate Liang
Comparison fields: 5 of 35
  • Cardiology and Cardiovascular Medicine 102
  • Pathology and Forensic Medicine 82
  • Radiology, Nuclear Medicine and Imaging 75
  • Neurology 19
  • Hematology 13
Replace Sebastian M Haberkorn with:
Sebastian M Haberkorn Germany
Oliver Turschner Germany
R. Pellerito Italy
Kamil Kowalczyk Poland
Todd Lewis United States
Elke Valk Germany
Michelle C. Liang United States
Iwao Ishibashi Japan
Larissa Lahme Germany
J. Mazhar Australia
Kate Liang relative to Sebastian M Haberkorn Germany Sebastian M Haberkorn's profile →
Citations per field
00.5×8.2×
Sebastian M Haberkorn · 1×
Citations per year

Countries citing papers authored by Kate Liang

Since Specialization
Citations

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

Fields of papers citing papers by Kate Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Kate Liang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Kate Liang Line = papers co-authored together Kate Liang links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 201290
2 202031
3 202228
4 202226
5 202212
6 202110
7 20239
8 20208
9 20226
10 20205
11 20193
12 20211
13 20191
14 20211
15 20250
16 20250

About Kate Liang

Kate Liang is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging, Surgery, Pathology and Forensic Medicine and Pulmonary and Respiratory Medicine, having authored 16 papers that have together received 231 indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (7 papers), Pericarditis and Cardiac Tamponade (3 papers), Chemotherapy-induced cardiotoxicity and mitigation (2 papers), Acute Myocardial Infarction Research (2 papers), Takotsubo Cardiomyopathy and Associated Phenomena (2 papers), Advanced MRI Techniques and Applications (2 papers), Organ Transplantation Techniques and Outcomes (1 paper) and Neurological Complications and Syndromes (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (102 citations), Pathology and Forensic Medicine (82 citations), Radiology, Nuclear Medicine and Imaging (75 citations), Neurology (19 citations) and Hematology (13 citations). Kate Liang has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include Chiara Bucciarelli‐Ducci, Katharine Harding, Claire Hirst, Mark Wardle, Neil P. Robertson, Johann te Water Naudé, Gillian Ingram, Trevor Pickersgill, Yoav Ben‐Shlomo and M. Cossburn. Their work appears in journals such as European Heart Journal - Cardiovascular Imaging, International Journal of Cardiology, JACC CardioOncology, Journal of Neurology Neurosurgery & Psychiatry and Plastic & Reconstructive Surgery.

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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