Jennifer Beane

5.5k citations
52 papers · 2.7k indexed · h-index 22

Impact in

    • Cancer-related molecular mechanisms research
    • Cancer Genomics and Diagnostics
    • Chronic Obstructive Pulmonary Disease (COPD) Research
    • Lung Cancer Treatments and Mutations
    • Lung Cancer Diagnosis and Treatment
    • Neonatal Respiratory Health Research

Papers in

Jennifer Beane

50 papers receiving 2.6k citations

Peers

Jennifer Beane
Comparison fields: 5 of 142
  • Cancer Research 616
  • Pulmonary and Respiratory Medicine 922
  • Molecular Biology 1.2k
  • Oncology 399
  • Immunology 250
Replace Vishal Shah with:
Vishal Shah United States
Ekkehard Vollmer Germany
Tao Du China
Weibo Liang China
Tzu‐Hao Chang Taiwan
Panayiotis V. Benos United States
Philippe Joubert Canada
Fatma Z. Guerfali Tunisia
Andrew Cassidy United Kingdom
Jennifer Beane relative to Vishal Shah United States Vishal Shah's profile →
Citations per field
00.5×4.5×
Vishal Shah · 1×
Citations per year

Countries citing papers authored by Jennifer Beane

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer Beane

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20244
3 20245
4 20240
5 20238
6 20231
7 20233
8 20214
9 201912
10 201942
11 201957
12 201730
13 201741
14 201628
15 201430
16 201220
17 2011115
18 200874
19 200715
20 2006133

About Jennifer Beane

Jennifer Beane is a scholar working on Cancer Research, Pulmonary and Respiratory Medicine, Molecular Biology, Physiology and Geriatrics and Gerontology, having authored 52 papers that have together received 2.7k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (15 papers), RNA modifications and cancer (15 papers), MicroRNA in disease regulation (7 papers), Ferroptosis and cancer prognosis (6 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), Neonatal Respiratory Health Research (5 papers), Asthma and respiratory diseases (5 papers) and Genomics, phytochemicals, and oxidative stress (4 papers). The work is most often cited by research in Cancer Research (616 citations), Pulmonary and Respiratory Medicine (922 citations), Molecular Biology (1.2k citations), Oncology (399 citations) and Immunology (250 citations). Jennifer Beane has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Avrum Spira, Gang Liu, Jerome S. Brody, Marc E. Lenburg, Vishal Shah, Frank Schembri, Gregory D. Ebel, Doug E. Brackney, Paola Sebastiani and Xuemei Yang. Their work appears in journals such as Cancer Research, Cancer Prevention Research, Scientific Reports, Nature Communications and Proceedings of the National Academy of Sciences.

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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