Jeff Liu

2.4k citations
31 papers · 599 · h-index 11

Impact in

    • Cancer, Hypoxia, and Metabolism
    • Glioma Diagnosis and Treatment
    • Connective tissue disorders research

Papers in

Jeff Liu

27 papers receiving 588 citations

Peers

Jeff Liu
Comparison fields: 5 of 102
  • Cancer Research 100
  • Genetics 56
  • Orthopedics and Sports Medicine 43
  • Molecular Biology 334
  • Cell Biology 63
Replace Jizheng Wang with:
Jizheng Wang China
Mingjie Wu China
Seitaro Nomura Japan
Hiroo Kawano Japan
Eoghan O’Duibhir United Kingdom
Grzegorz T. Gurda United States
Wataru Hirose Japan
Elaine P. Lunsford United States
Rekha Kar United States
Aruna Poduri United States
Jeff Liu relative to Jizheng Wang China Jizheng Wang's profile →
Citations per field
00.5×1.5×1.8×
Jizheng Wang · 1×
Citations per year

Countries citing papers authored by Jeff Liu

Since Specialization
Citations

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

Fields of papers citing papers by Jeff Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jeff Liu, 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 Jeff Liu Line = papers co-authored together Jeff Liu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201085
2 201475
3 200674
4 201073
5 201854
6 201343
7 201339
8 202032
9 201620
10 201515
11 201811
12
Role of lipid-soluble complexes in targeted tumor therapy.
200310
13 20239
14 20149
15 20148
16 20158
17 20237
18 20147
19 20196
20 20143

About Jeff Liu

Jeff Liu is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Epidemiology, Cancer Research and Surgery, having authored 31 papers that have together received 599 indexed citations. Recurring topics across this work include Meningioma and schwannoma management (5 papers), Glioma Diagnosis and Treatment (4 papers), Bone Metabolism and Diseases (4 papers), Bone health and osteoporosis research (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), Wnt/β-catenin signaling in development and cancer (2 papers), RNA Research and Splicing (2 papers) and Brain Metastases and Treatment (2 papers). The work is most often cited by research in Cancer Research (100 citations), Genetics (56 citations), Orthopedics and Sports Medicine (43 citations), Molecular Biology (334 citations) and Cell Biology (63 citations). Jeff Liu has collaborated with scholars based in United States, Canada and Taiwan. Frequent co-authors include Robert Brommage, Peter Vogel, Gwenn M. Hansen, Kenneth H. Gabbay, Terry Bertin, Kurt M. Bohren, Roy Morello, Urszula T. Iwaniec, Thomas J. Wronski and Mercedes F. Rivera. Their work appears in journals such as Journal of Bone and Mineral Research, Bone Research, Neuro-Oncology, Medical Physics and Scientific Reports.

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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