Jennifer B. Dennison

5.9k citations
52 papers · 2.1k indexed · 1 hit paper · h-index 21
Topics
Cancer, Hypoxia, and Metabolism (9 papers)Radiomics and Machine Learning in Medical Imaging (8 papers)Lung Cancer Diagnosis and Treatment (7 papers)

In The Last Decade

Jennifer B. Dennison

47 papers receiving 2.1k citations

Hit Papers

Antitumor Activity of the Glutaminase Inhibitor CB-839 in...20142026201820222014250500750

Peers

Jennifer B. Dennison
Comparison fields: 5 of 104
  • Molecular Biology 1.3k
  • Cancer Research 1.0k
  • Oncology 583
  • Pulmonary and Respiratory Medicine 237
  • Pharmacology 216
Replace Xiangjian Luo with:
Xiangjian Luo China
Dona Alberti United States
Fariba Behbod United States
Hong‐Yang Wang China
Masahiko Nishiyama Japan
Maria M. Simile Italy
Nayiyuan Wu China
Kuen‐Feng Chen Taiwan
Hailing Cheng China
Alexander D. Lewis United Kingdom
Jennifer B. Dennison relative to Xiangjian Luo China Xiangjian Luo's profile →
Citations per field
00.5×
Xiangjian Luo · 1×
Citations per year

Countries citing papers authored by Jennifer B. Dennison

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer B. Dennison

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jennifer B. Dennison

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 4
2 0
3 0
4 3
5 1
6 2
7 18
8 8
9 10
10 57
11 21
12 10
13 6
14 50
15 85
16 26
17 20
18
Antitumor Activity of the Glutaminase Inhibitor CB-839 in Triple-Negative Breast Cancerbreakdown →
797
19 93
20 205

About Jennifer B. Dennison

Jennifer B. Dennison is a scholar working on Cancer Research, Oncology and Biological Psychiatry, having authored 52 papers that have together received 2.1k indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (9 papers), Radiomics and Machine Learning in Medical Imaging (8 papers) and Lung Cancer Diagnosis and Treatment (7 papers). The work is most often cited by research in Cancer Research (1.0k citations), Pharmacology (216 citations) and Biochemistry (169 citations). Jennifer B. Dennison has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Stephen D. Hall, Jamie L. Renbarger, Julie Janes, Jun Li, Mark K. Bennett, Taotao Wang, Andrew L. MacKinnon, Timothy F. Stanton, Lijing Chen and Susan D. Demo. Their work appears in journals such as Journal of Biological Chemistry, Nature Communications and Journal of Clinical Oncology.

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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