David M. Ashley

17.7k citations
236 papers · 9.1k indexed · 3 hit papers · h-index 46

Impact in

  • Genetics top 0.1%
    • Glioma Diagnosis and Treatment
  • Immunology top 1%
    • Immunotherapy and Immune Responses

Papers in

    • Glioma Diagnosis and Treatment 80
    • Immunotherapy and Immune Responses 22

David M. Ashley

220 papers receiving 8.9k citations

Hit Papers

Management of glioblastoma: State of the art and future directions 2020 · 1.4k citations
1.4k20182026202020234008001.2k

Peers

David M. Ashley
Comparison fields: 5 of 189
  • Genetics 3.1k
  • Immunology 1.9k
  • Oncology 2.3k
  • Cancer Research 1.0k
  • Neurology 917
Replace Joshua B. Rubin with:
Joshua B. Rubin United States
Susan M. Chang United States
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Michael Walker United States
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Andreas Neubauer Germany
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David M. Ashley relative to Joshua B. Rubin United States Joshua B. Rubin's profile →
Citations per field
00.5×1.5×1.9×
Joshua B. Rubin · 1×
Citations per year

Countries citing papers authored by David M. Ashley

Since Specialization
Citations

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

Fields of papers citing papers by David M. Ashley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20240
3 20241
4 202311
5 20234
6 20231
7 20239
8 20237
9 202311
10 202312
11 202115
12 20213
13 202150
14 202029
15 201912
16
A RANDOMIZED PHASE II TRIAL OF VELIPARIB (V), RADIOTHERAPY (RT) AND TEMOZOLOMIDE (TMZ) IN PATIENTS (PTS) WITH UNMETHYLATED MGMT (uMGMT) GLIOBLASTOMA (GBM): THE VERTU STUDY
20191
17 20198
18 20158
19 201483
20 201267

About David M. Ashley

David M. Ashley is a scholar working on Genetics, Immunology, Neurology, Oncology and Biotechnology, having authored 236 papers that have together received 9.1k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (80 papers), Immunotherapy and Immune Responses (22 papers), Neuroblastoma Research and Treatments (21 papers), Childhood Cancer Survivors' Quality of Life (18 papers), Brain Metastases and Treatment (16 papers), Chromatin Remodeling and Cancer (16 papers), Cancer Research and Treatments (13 papers) and Epigenetics and DNA Methylation (12 papers). The work is most often cited by research in Genetics (3.1k citations), Immunology (1.9k citations), Oncology (2.3k citations), Cancer Research (1.0k citations) and Neurology (917 citations). David M. Ashley has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include Henry S. Friedman, Mustafa Khasraw, Aaron C. Tan, Giselle Y. López, Michael D. Malinzak, John H. Sampson, Darell D. Bigner, Laura P. Hale, Peter E. Fecci and Michael D. Gunn. Their work appears in journals such as Neuro-Oncology, Journal of Clinical Oncology, Neuro-Oncology Advances, Pediatric Blood & Cancer and Clinical Cancer Research.

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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2026