David J. Pisapia

7.4k citations
85 papers · 2.6k indexed · 1 hit paper · h-index 23

David J. Pisapia

79 papers receiving 2.6k citations

Hit Papers

Modeling Patient-Derived Glioblastoma with Cerebral Organ...3232019202620212023100200300

Peers

David J. Pisapia
Comparison fields: 5 of 123
  • Genetics 724
  • Sensory Systems 126
  • Cancer Research 365
  • Developmental Neuroscience 93
  • Neurology 238
Replace Dimitris G. Placantonakis with:
Dimitris G. Placantonakis United States
Akihiro Kume Japan
Baoli Yang United States
Scott E. Brodie United States
Akihiro Inoue Japan
Lawrence C. Kenyon United States
Patrick Edery France
Costanza Giampietro Switzerland
Yoshiki Arakawa Japan
Karen Wolburg‐Buchholz Germany
David J. Pisapia relative to Dimitris G. Placantonakis United States Dimitris G. Placantonakis's profile →
Citations per field
00.5×2.7×
Dimitris G. Placantonakis · 1×
Citations per year

Countries citing papers authored by David J. Pisapia

Since Specialization
Citations

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

Fields of papers citing papers by David J. Pisapia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20242
2 20240
3 202420
4 20234
5 20234
6 20232
7 20232
8 20232
9 2020105
10 20198
11 201958
12 201945
13 201849
14 201724
15 201719
16 201623
17 201667
18 20168
19 20118
20 2006470

About David J. Pisapia

David J. Pisapia is a scholar working on Genetics, Neurology and Cancer Research, having authored 85 papers that have together received 2.6k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (48 papers), Meningioma and schwannoma management (15 papers), Neuroblastoma Research and Treatments (12 papers), Pituitary Gland Disorders and Treatments (9 papers), Brain Metastases and Treatment (8 papers), Cancer Genomics and Diagnostics (5 papers), MicroRNA in disease regulation (5 papers) and Radiomics and Machine Learning in Medical Imaging (5 papers). The work is most often cited by research in Genetics (724 citations), Sensory Systems (126 citations) and Cancer Research (365 citations). David J. Pisapia has collaborated with scholars based in United States, Israel and United Kingdom. Frequent co-authors include Monica Mendelsohn, Richard Axel, Gilad Barnea, Stavros Lomvardas, Navneet Narula, Jagat Narula, Marc R. Dweck, H. William Strausś, Takehiro Nakahara and Theodore H. Schwartz. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Neuron.

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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