Donald M. Miller

16.2k total citations · 5 hit papers
206 papers, 11.5k citations indexed

About

Donald M. Miller is a scholar working on Molecular Biology, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Donald M. Miller has authored 206 papers receiving a total of 11.5k indexed citations (citations by other indexed papers that have themselves been cited), including 102 papers in Molecular Biology, 34 papers in Oncology and 30 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Donald M. Miller's work include DNA and Nucleic Acid Chemistry (28 papers), Advanced biosensing and bioanalysis techniques (23 papers) and RNA Interference and Gene Delivery (22 papers). Donald M. Miller is often cited by papers focused on DNA and Nucleic Acid Chemistry (28 papers), Advanced biosensing and bioanalysis techniques (23 papers) and RNA Interference and Gene Delivery (22 papers). Donald M. Miller collaborates with scholars based in United States, United Kingdom and South Africa. Donald M. Miller's co-authors include Shelia D. Thomas, Jun Yan, John O. Trent, Jingyao Mu, Paula J. Bates, Xiaoying Zhuang, Zhongbin Deng, Huang‐Ge Zhang, Ratna B. Ray and Kara C. Sedoris and has published in prestigious journals such as Science, New England Journal of Medicine and Cell.

In The Last Decade

Donald M. Miller

200 papers receiving 11.2k citations

Hit Papers

Discovery and development... 2009 2026 2014 2020 2009 2012 2014 2013 2015 200 400 600

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Donald M. Miller 8.0k 3.0k 1.2k 1.0k 857 206 11.5k
Xiao Liu 5.2k 0.7× 2.3k 0.8× 1.2k 1.0× 1.8k 1.8× 937 1.1× 546 11.6k
Stephen J. Gould 13.0k 1.6× 2.7k 0.9× 473 0.4× 1.4k 1.4× 782 0.9× 154 16.0k
Shuang Huang 7.5k 0.9× 2.7k 0.9× 2.4k 1.9× 1.4k 1.4× 748 0.9× 308 12.9k
Pascal J. Goldschmidt‐Clermont 6.4k 0.8× 1.4k 0.5× 1.2k 1.0× 2.0k 2.0× 916 1.1× 228 14.1k
Jeremy Brown 3.4k 0.4× 2.5k 0.8× 2.0k 1.6× 381 0.4× 953 1.1× 196 8.6k
Giuseppe Novelli 8.1k 1.0× 1.3k 0.4× 765 0.6× 2.1k 2.0× 1.5k 1.7× 636 15.5k
George Poste 8.3k 1.0× 1.9k 0.6× 2.7k 2.2× 2.1k 2.1× 1.1k 1.2× 259 15.1k
Yang Wang 6.0k 0.7× 2.1k 0.7× 1.3k 1.1× 1.6k 1.5× 688 0.8× 497 11.5k
Fan Yang 3.1k 0.4× 1.9k 0.6× 1.6k 1.3× 753 0.7× 2.1k 2.4× 491 8.4k
Caroline Lee 5.9k 0.7× 2.1k 0.7× 2.1k 1.7× 791 0.8× 809 0.9× 194 10.6k

Countries citing papers authored by Donald M. Miller

Since Specialization
Citations

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

Fields of papers citing papers by Donald M. Miller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Donald M. Miller. 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 Donald M. Miller. The network helps show where Donald M. Miller may publish in the future.

Co-authorship network of co-authors of Donald M. Miller

This figure shows the co-authorship network connecting the top 25 collaborators of Donald M. Miller. A scholar is included among the top collaborators of Donald M. Miller 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 Donald M. Miller. Donald M. Miller 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
1.
Schneider, Gabriela, Alagammai Kaliappan, Robert Buscaglia, et al.. (2023). Plasma Thermogram Parameters Differentiate Status and Overall Survival of Melanoma Patients. Current Oncology. 30(7). 6079–6096. 3 indexed citations
2.
Williams, Brian J., Donald M. Miller, Zied Abdullaev, et al.. (2022). Malignant melanotic nerve sheath tumor with PRKAR1A, KMT2C and GNAQ mutations. SHILAP Revista de lepidopterología. 3. 21–21. 4 indexed citations
3.
Yusuf, Mehran, Abbas Rattani, Jeremy Gaskins, et al.. (2021). Stereotactic radiosurgery for melanoma brain metastases: dose-size response relationship in the era of immunotherapy. Journal of Neuro-Oncology. 156(1). 163–172. 8 indexed citations
4.
Yusuf, Mehran, Abbas Rattani, Paul Tennant, et al.. (2021). Merkel Cell Carcinoma of the Head and Neck: Epidemiology, Pathogenesis, Current State of Treatment and Future Directions. Cancers. 13(14). 3506–3506. 9 indexed citations
5.
Shesh, N., et al.. (2018). 5-(3,3-Dimethyle-1-Triazeno) Imidazole-4-Carboxamide and Interleukin-2 Adjuvant Therapy in Resected High-Risk Primary and Regionally Metastatic Melanoma. The American Journal of the Medical Sciences. 357(1). 43–48. 1 indexed citations
6.
Deng, Zhenghao, Yuan Rong, Yan Teng, et al.. (2016). Exosomes miR-126a released from MDSC induced by DOX treatment promotes lung metastasis. Oncogene. 36(5). 639–651. 175 indexed citations
7.
Wang, Qilong, Yi Ren, Jingyao Mu, et al.. (2015). Grapefruit-Derived Nanovectors Use an Activated Leukocyte Trafficking Pathway to Deliver Therapeutic Agents to Inflammatory Tumor Sites. Cancer Research. 75(12). 2520–2529. 295 indexed citations
8.
Deng, Zhongbin, Jingyao Mu, Michael T. Tseng, et al.. (2015). Enterobacteria-secreted particles induce production of exosome-like S1P-containing particles by intestinal epithelium to drive Th17-mediated tumorigenesis. Nature Communications. 6(1). 11348–11348. 79 indexed citations
9.
Zhuang, Xiaoying, Yun Teng, Abhilash Samykutty, et al.. (2015). Grapefruit-derived Nanovectors Delivering Therapeutic miR17 Through an Intranasal Route Inhibit Brain Tumor Progression. Molecular Therapy. 24(1). 96–105. 213 indexed citations
10.
Jiang, Hong, Ping Wang, Xiaohua Li, et al.. (2014). Restoration of miR17/20a in Solid Tumor Cells Enhances the Natural Killer Cell Antitumor Activity by Targeting Mekk2. Cancer Immunology Research. 2(8). 789–799. 31 indexed citations
11.
Michálek, Pavel & Donald M. Miller. (2014). Airway Management Evolution – In a Search for an Ideal Extraglottic Airway Device. Prague Medical Report. 115(3-4). 87–103. 16 indexed citations
12.
Todd, Robert F., Donald M. Miller, & Roy L. Silverstein. (2001). Hematology Grants Workshop—2001. Hematology. 2001(1). 507–521. 6 indexed citations
13.
Mayfield, Charles A., et al.. (1994). Inhibition of Nuclear Protein Binding to the Human Ki-ras Promoter by Triplex-Forming Oligonucleotides. Biochemistry. 33(11). 3358–3363. 27 indexed citations
14.
Ebbinghaus, Scot, Jay E. Gee, Brad Rodu, et al.. (1993). Triplex formation inhibits HER-2/neu transcription in vitro.. Journal of Clinical Investigation. 92(5). 2433–2439. 68 indexed citations
15.
Gee, Jay E., et al.. (1992). Triple helix formation by purine-rich oligonucleotides targeted to the human dihydrofolate reductase promoter. Nucleic Acids Research. 20(7). 1777–1784. 44 indexed citations
16.
Ray, Ratna B. & Donald M. Miller. (1991). Cloning and Characterization of a Human c- myc Promoter-Binding Protein. Molecular and Cellular Biology. 11(4). 2154–2161. 29 indexed citations
17.
Ray, Ratna B., Richard C. Snyder, Shelia D. Thomas, Charles Koller, & Donald M. Miller. (1989). Mithramycin blocks protein binding and function of the SV40 early promoter.. Journal of Clinical Investigation. 83(6). 2003–2007. 113 indexed citations
18.
Yang, Angela, et al.. (1985). Control of lysozyme gene expression in differentiating HL‐60 cells. British Journal of Haematology. 60(1). 7–17. 5 indexed citations
19.
Miller, Donald M., et al.. (1982). Amphibians and Reptiles of the Grand Canyon National Park. 379. o2925–o2925. 7 indexed citations
20.
Miller, Donald M.. (1974). Content, Items, Decisions: Orienting Curriculum-Assessment Surveys to Curriculum Management and Modification.. Educational Technology archive. 1 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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