Charles Keller

10.6k citations
148 papers · 6.6k indexed · 3 hit papers · h-index 36

Charles Keller

147 papers receiving 6.5k citations

Hit Papers

FOXO1 couples metabolic activity and growth s...42920072026201320192505007501000

Peers

Charles Keller
Comparison fields: 5 of 154
  • Aging 311
  • Genetics 733
  • Molecular Biology 4.3k
  • Cancer Research 689
  • Rehabilitation 305
Replace Ling Liu with:
Ling Liu China
Sawa Kostin Germany
Jonathan M. Graff United States
Laurenţiu M. Popescu Romania
Yo‐ichi Nabeshima Japan
Michael Kyba United States
Cheryl A. Conover United States
Tom H. Cheung Hong Kong
Helen M. Arthur United Kingdom
Maria Almeida United States
Charles Keller relative to Ling Liu China Ling Liu's profile →
Citations per field
00.5×1.5×2.3×
Ling Liu · 1×
Citations per year

Countries citing papers authored by Charles Keller

Since Specialization
Citations

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

Fields of papers citing papers by Charles Keller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20233
3 20223
4 20218
5 20219
6 202113
7 201823
8 2016153
9 201326
10 201222
11 201152
12 201144
13 201037
14 201060
15 200966
16 200975
17 200718
18 2004182
19 199781
20 196735

About Charles Keller

Charles Keller is a scholar working on Cancer Research, Biophysics, Pulmonary and Respiratory Medicine, Genetics and Oncology, having authored 148 papers that have together received 6.6k indexed citations. Recurring topics across this work include Sarcoma Diagnosis and Treatment (44 papers), CAR-T cell therapy research (15 papers), Muscle Physiology and Disorders (13 papers), Protein Degradation and Inhibitors (10 papers), Computational Drug Discovery Methods (8 papers), Virus-based gene therapy research (8 papers), Cancer-related molecular mechanisms research (8 papers) and Cell Image Analysis Techniques (8 papers). The work is most often cited by research in Aging (311 citations), Genetics (733 citations), Molecular Biology (4.3k citations), Cancer Research (689 citations) and Rehabilitation (305 citations). Charles Keller has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Thomas A. Rando, Andrew S. Brack, Michael J. Conboy, Calvin J. Kuo, Mark Lee, Sudeep Roy, Mario R. Capecchi, Cheryl M. Coffin, Denis C. Guttridge and Suresh I. Prajapati. Their work appears in journals such as Pediatric Blood & Cancer, Molecular Case Studies, Stem Cells, Sarcoma and Frontiers in 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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