Jennifer Liu

2.3k citations
46 papers · 1.4k indexed · 1 hit paper · h-index 18

Jennifer Liu

40 papers receiving 1.3k citations

Hit Papers

Older adult participation in cancer clinical trials: A sy...287202020262022202450100150200250

Peers

Jennifer Liu
Comparison fields: 5 of 114
  • Geriatrics and Gerontology 100
  • Oncology 383
  • Cardiology and Cardiovascular Medicine 290
  • Cancer Research 121
  • Economics and Econometrics 203
Replace Sharon M. Castellino with:
Sharon M. Castellino United States
Andrea Eberle Germany
Shingo Hatakeyama Japan
Ethan B. Ludmir United States
Steve Kim United States
Anna Vlahiotis United States
Patrick M. Dillon United States
Ellen G. Feigal United States
Tsivia Hochman United States
Denis Schallier Belgium
Jennifer Liu relative to Sharon M. Castellino United States Sharon M. Castellino's profile →
Citations per field
00.5×5.3×
Sharon M. Castellino · 1×
Citations per year

Countries citing papers authored by Jennifer Liu

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20230
2 202356
3 20230
4 20231
5 20231
6 20222
7 20213
8 202017
9 20205
10
Older adult participation in cancer clinical trials: A systematic review of barriers and interventionsbreakdown →
2020287
11 202047
12 201939
13 201954
14 20181
15 201856
16 20180
17 20159
18 201133
19
Indoctrinating the Youth: Guomindang policy on secondary education in wartime China and postwar Taiwan, 1937-1960
20102
20 199455

About Jennifer Liu

Jennifer Liu is a scholar working on Cardiology and Cardiovascular Medicine, Oncology and Geriatrics and Gerontology, having authored 46 papers that have together received 1.4k indexed citations. Recurring topics across this work include Chemotherapy-induced cardiotoxicity and mitigation (10 papers), Cardiac Imaging and Diagnostics (6 papers), Health Systems, Economic Evaluations, Quality of Life (5 papers), HER2/EGFR in Cancer Research (5 papers), Peptidase Inhibition and Analysis (4 papers), Cancer Treatment and Pharmacology (4 papers), Ethics in Clinical Research (4 papers) and Breast Cancer Treatment Studies (4 papers). The work is most often cited by research in Geriatrics and Gerontology (100 citations), Oncology (383 citations) and Cardiology and Cardiovascular Medicine (290 citations). Jennifer Liu has collaborated with scholars based in United States, Canada and Singapore. Frequent co-authors include Mina S. Sedrak, Kevin George, Andrew R. Wong, Simran Padam, William Dale, Richard M. Steingart, Rei Miike, Kenneth Aldape, Pengchin Chen and Margaret Wrensch. Their work appears in journals such as Journal of the American Chemical Society, Journal of Clinical Oncology and Gastroenterology.

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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