Jennifer Clarke

12.6k citations
175 papers · 5.7k indexed · 1 hit paper · h-index 42
Topics
Glioma Diagnosis and Treatment (105 papers)Radiomics and Machine Learning in Medical Imaging (29 papers)Brain Metastases and Treatment (23 papers)

In The Last Decade

Jennifer Clarke

163 papers receiving 5.6k citations

Hit Papers

Vorasidenib and ivosidenib in IDH1-mutant low-grade gliom...20232026202420252023255075100

Peers

Jennifer Clarke
Comparison fields: 5 of 142
  • Genetics 2.5k
  • Pulmonary and Respiratory Medicine 1.8k
  • Oncology 1.4k
  • Molecular Biology 1.2k
  • Neurology 978
Replace Kristin Waite with:
Kristin Waite United States
Chitra Sarkar India
Steven Brem United States
Yoshitaka Narita Japan
Felix Sahm Germany
Ahmed Idbaïh France
Joanna J. Phillips United States
Gelareh Zadeh Canada
Burt Nabors United States
Lawrence D. Recht United States
Jennifer Clarke relative to Kristin Waite United States Kristin Waite's profile →
Citations per field
00.5×4.5×
Kristin Waite · 1×
Citations per year

Countries citing papers authored by Jennifer Clarke

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer Clarke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jennifer Clarke

This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer Clarke. A scholar is included among the top collaborators of Jennifer Clarke 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 Clarke. Jennifer Clarke 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 6
2 4
3 1
4 0
5 6
6 0
7 2
8
Vorasidenib and ivosidenib in IDH1-mutant low-grade glioma: a randomized, perioperative phase 1 trialbreakdown →
111
9 17
10 11
11 56
12 15
13 50
14 18
15 5
16 0
17 150
18 72
19 128
20 16

About Jennifer Clarke

Jennifer Clarke is a scholar working on Genetics, Radiology, Nuclear Medicine and Imaging and Structural Biology, having authored 175 papers that have together received 5.7k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (105 papers), Radiomics and Machine Learning in Medical Imaging (29 papers) and Brain Metastases and Treatment (23 papers). The work is most often cited by research in Genetics (2.5k citations), Neurology (978 citations) and Pulmonary and Respiratory Medicine (1.8k citations). Jennifer Clarke has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Nicholas Butowski, Susan M. Chang, Michael D. Prados, Lisa M. DeAngelis, Mitchel S. Berger, Susan M. Chang, Katherine S. Panageas, Lamya S. Shihabuddin, Andrew B. Lassman and Hector R. Perez. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Medicine and Nature Communications.

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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