Michael B. Dilling

1.3k total citations
8 papers, 1.1k citations indexed

About

Michael B. Dilling is a scholar working on Molecular Biology, Oncology and Toxicology. According to data from OpenAlex, Michael B. Dilling has authored 8 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Oncology and 2 papers in Toxicology. Recurrent topics in Michael B. Dilling's work include PI3K/AKT/mTOR signaling in cancer (6 papers), Cancer therapeutics and mechanisms (2 papers) and Bioactive Compounds and Antitumor Agents (2 papers). Michael B. Dilling is often cited by papers focused on PI3K/AKT/mTOR signaling in cancer (6 papers), Cancer therapeutics and mechanisms (2 papers) and Bioactive Compounds and Antitumor Agents (2 papers). Michael B. Dilling collaborates with scholars based in United States, Netherlands and Japan. Michael B. Dilling's co-authors include Peter J. Houghton, Takuma Shikata, Hajime Hosoi, Franklin C. Harwood, Glen S. Germain, Lili Shu, Peter J. Houghton, Robert T. Abraham, Shile Huang and Lorina Dudkin and has published in prestigious journals such as Journal of Biological Chemistry, Molecular Cell and Molecular Pharmacology.

In The Last Decade

Michael B. Dilling

8 papers receiving 1.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Michael B. Dilling United States 8 876 301 159 156 143 8 1.1k
Archontoula Stoffel United States 12 548 0.6× 259 0.9× 80 0.5× 102 0.7× 166 1.2× 15 826
Lili Shu United States 8 685 0.8× 193 0.6× 121 0.8× 86 0.6× 104 0.7× 12 880
Weiguo Jian United States 13 710 0.8× 384 1.3× 219 1.4× 111 0.7× 168 1.2× 19 1.2k
Rachel V. Pearline United States 5 756 0.9× 343 1.1× 135 0.8× 73 0.5× 168 1.2× 7 976
Yvonne T.M. Tsang United States 18 533 0.6× 329 1.1× 141 0.9× 161 1.0× 211 1.5× 24 1.2k
Nino Keshelava United States 19 914 1.0× 454 1.5× 120 0.8× 66 0.4× 293 2.0× 33 1.4k
Hena R. Ashar United States 12 1.2k 1.3× 522 1.7× 150 0.9× 122 0.8× 380 2.7× 13 1.6k
Sagarika Ray United States 7 773 0.9× 198 0.7× 55 0.3× 125 0.8× 109 0.8× 7 982
Susan C. Evans United States 19 739 0.8× 265 0.9× 88 0.6× 56 0.4× 117 0.8× 28 1.1k
Debora Rasio Italy 16 876 1.0× 467 1.6× 146 0.9× 259 1.7× 352 2.5× 25 1.4k

Countries citing papers authored by Michael B. Dilling

Since Specialization
Citations

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

Fields of papers citing papers by Michael B. Dilling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael B. Dilling

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

All Works

8 of 8 papers shown
1.
Huang, Shile, Lili Shu, Michael B. Dilling, et al.. (2003). Sustained Activation of the JNK Cascade and Rapamycin-Induced Apoptosis Are Suppressed by p53/p21Cip1. Molecular Cell. 11(6). 1491–1501. 184 indexed citations
2.
Dilling, Michael B., Glen S. Germain, Lorina Dudkin, et al.. (2002). 4E-binding Proteins, the Suppressors of Eukaryotic Initiation Factor 4E, Are Down-regulated in Cells with Acquired or Intrinsic Resistance to Rapamycin. Journal of Biological Chemistry. 277(16). 13907–13917. 87 indexed citations
3.
Huang, Shile, et al.. (2001). p53/p21(CIP1) cooperate in enforcing rapamycin-induced G(1) arrest and determine the cellular response to rapamycin.. PubMed. 61(8). 3373–81. 110 indexed citations
4.
Dudkin, Lorina, Michael B. Dilling, Pamela J. Cheshire, et al.. (2001). Biochemical correlates of mTOR inhibition by the rapamycin ester CCI-779 and tumor growth inhibition.. PubMed. 7(6). 1758–64. 199 indexed citations
5.
Gidding, Corrie, Glen S. Germain, Michael B. Dilling, et al.. (2000). The influence of recombinant human insulin-like growth factor-I (rhIGF-I) on cell growth and cytotoxicity of drugs in childhood rhabdomyosarcoma cell lines and xenograft models. Cancer Chemotherapy and Pharmacology. 45(1). 21–30. 10 indexed citations
6.
Hosoi, Hajime, Michael B. Dilling, Takuma Shikata, et al.. (1999). Rapamycin causes poorly reversible inhibition of mTOR and induces p53-independent apoptosis in human rhabdomyosarcoma cells.. PubMed. 59(4). 886–94. 257 indexed citations
7.
Hosoi, Hajime, Michael B. Dilling, Mary K. Danks, et al.. (1998). Studies on the Mechanism of Resistance to Rapamycin in Human Cancer Cells. Molecular Pharmacology. 54(5). 815–824. 157 indexed citations
8.
Dilling, Michael B., Peter Dias, David N. Shapiro, et al.. (1994). Rapamycin selectively inhibits the growth of childhood rhabdomyosarcoma cells through inhibition of signaling via the type I insulin-like growth factor receptor.. PubMed. 54(4). 903–7. 115 indexed citations

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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