David T. Fritz

584 citations
20 papers · 501 indexed · h-index 12

David T. Fritz

20 papers receiving 494 citations

Peers

David T. Fritz
Comparison fields: 5 of 69
  • Molecular Biology 422
  • Cancer Research 42
  • Genetics 53
  • Cardiology and Cardiovascular Medicine 36
  • Virology 7
Replace Christina Quensel with:
Christina Quensel Germany
Gopalakrishnan Aneeshkumar Arimbasseri India
Vasupradha Vethantham United States
Frank Korioth Germany
Sarah Bushmeyer United States
Catherine K. Yang United States
Huiyan Jin United States
E. Premkumar Reddy United States
Hadi M. Alzuherri United Kingdom
Ryouji Fujii Japan
David T. Fritz relative to Christina Quensel Germany Christina Quensel's profile →
Citations per field
00.5×3.3×
Christina Quensel · 1×
Citations per year

Countries citing papers authored by David T. Fritz

Since Specialization
Citations

This map shows the geographic impact of David T. Fritz'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 David T. Fritz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David T. Fritz more than expected).

Fields of papers citing papers by David T. Fritz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David T. Fritz. 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 David T. Fritz. The network helps show where David T. Fritz may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20157
2
Bone morphogenetic protein-focused strategies to induce cytotoxicity in lung cancer cells.
201424
3 201111
4 20116
5 20109
6 20107
7 20108
8 200930
9 200812
10 200811
11 20065
12 200628
13 200421
14 200424
15 200425
16 200247
17 20001
18 2000156
19 200037
20 198932

About David T. Fritz

David T. Fritz is a scholar working on Molecular Biology, Cancer Research and Cardiology and Cardiovascular Medicine, having authored 20 papers that have together received 501 indexed citations. Recurring topics across this work include TGF-β signaling in diseases (8 papers), RNA Research and Splicing (7 papers), RNA modifications and cancer (5 papers), Bone Metabolism and Diseases (5 papers), RNA and protein synthesis mechanisms (4 papers), Viral Infections and Immunology Research (3 papers), Developmental Biology and Gene Regulation (3 papers) and Cancer-related gene regulation (2 papers). The work is most often cited by research in Molecular Biology (422 citations), Cancer Research (42 citations) and Genetics (53 citations). David T. Fritz has collaborated with scholars based in United States, Ireland and Saudi Arabia. Frequent co-authors include Jeffrey Wilusz, Lance P. Ford, Min Gao, Melissa B. Rogers, Shan Jiang, Rein Strijker, Arthur D. Levinson, Donglin Liu, Young‐Woo Park and Michael G. Katze. Their work appears in journals such as Journal of Cellular Biochemistry, Journal of Biological Chemistry, Current Medicinal Chemistry, genesis and Molecular Cell.

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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