Rachel Liang

605 total citations
19 papers, 336 citations indexed

About

Rachel Liang is a scholar working on Radiology, Nuclear Medicine and Imaging, Otorhinolaryngology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Rachel Liang has authored 19 papers receiving a total of 336 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Radiology, Nuclear Medicine and Imaging, 4 papers in Otorhinolaryngology and 4 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Rachel Liang's work include Radiomics and Machine Learning in Medical Imaging (6 papers), Lung Cancer Diagnosis and Treatment (4 papers) and Head and Neck Cancer Studies (4 papers). Rachel Liang is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (6 papers), Lung Cancer Diagnosis and Treatment (4 papers) and Head and Neck Cancer Studies (4 papers). Rachel Liang collaborates with scholars based in United States, China and Australia. Rachel Liang's co-authors include Quynh‐Thu Le, Christina S. Kong, Jia Wu, Nasha Zhang, Ruijiang Li, Michael F. Gensheimer, Rie von Eyben, Dadi Jiang, A. Dimitrios Colevas and Vangipuram S. Rangan and has published in prestigious journals such as Journal of Clinical Investigation, PLoS ONE and Nature Methods.

In The Last Decade

Rachel Liang

15 papers receiving 335 citations

Peers

Rachel Liang
Comparison fields: 5 of 63
  • Immunology 112
  • Molecular Biology 100
  • Radiology, Nuclear Medicine and Imaging 96
  • Oncology 81
  • Pulmonary and Respiratory Medicine 62
Replace Colin Hill with:
Colin Hill United States
Luca Mariotti Italy
Grant Creaney United Kingdom
Kazurou Sugi Japan
Sebastian Zahnreich Germany
Kyle Singleton United States
Irene De Simone Italy
Julian Philipp Layer Germany
Angela L. Ferguson Australia
Colin Hill United States View profile →
Citations per field, relative to Rachel Liang
Rachel Liang · 1×
Citations per year, relative to Rachel Liang
Rachel Liang · 1×

Countries citing papers authored by Rachel Liang

Since Specialization
Citations

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

Fields of papers citing papers by Rachel Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rachel Liang

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

All Works

19 of 19 papers shown
# Work Indexed citations
1 0
2 1
3 0
4 0
5 1
6 4
7 57
8 43
9 2
10 4
11 32
12 2
13 23
14 6
15 41
16 118
17 0
18 1
19
Comparison of DWIBS and 18F-FDG PET/CT in newly diagnosed lymphoma
1

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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