David Burstein

39 papers receiving 1.9k citations

Peers

David Burstein
Comparison fields: 5 of 104
  • Developmental Neuroscience 94
  • Cellular and Molecular Neuroscience 390
  • Cancer Research 258
  • Oncology 399
  • Genetics 113
Replace Keiji Shimizu with:
Keiji Shimizu Japan
Andreas Fischer Germany
Lesley A. Jarvis United States
Junhao Hu China
Tatsuya Seki Japan
Jason Heth United States
Simon‐Peter Williams United Kingdom
C. M. Petersen Denmark
Zoltán Varga Hungary
Johannes Schlöndorff United States
David Burstein relative to Keiji Shimizu Japan Keiji Shimizu's profile →
Citations per field
00.5×3.3×
Keiji Shimizu · 1×
Citations per year

Countries citing papers authored by David Burstein

Since Specialization
Citations

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

Fields of papers citing papers by David Burstein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1978200
2 2002152
3
Immunohistochemical localization of basic fibroblast growth factor in astrocytomas.
1990146
4 1987137
5 1982117
6 2003114
7 2004113
8 199798
9 198293
10 200483
11 199079
12 200073
13 201172
14 200260
15 199959
16 200555
17 198249
18 200330
19 201530
20 200627

About David Burstein

David Burstein is a scholar working on Molecular Biology, Oncology, Pulmonary and Respiratory Medicine, Cellular and Molecular Neuroscience and Epidemiology, having authored 40 papers that have together received 2.0k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (5 papers), Nerve injury and regeneration (4 papers), Neuroendocrine Tumor Research Advances (3 papers), Lung Cancer Treatments and Mutations (3 papers), Polyomavirus and related diseases (2 papers), Parvovirus B19 Infection Studies (2 papers), Ovarian cancer diagnosis and treatment (2 papers) and Neuroblastoma Research and Treatments (2 papers). The work is most often cited by research in Developmental Neuroscience (94 citations), Cellular and Molecular Neuroscience (390 citations), Cancer Research (258 citations), Oncology (399 citations) and Genetics (113 citations). David Burstein has collaborated with scholars based in United States, Israel and Denmark. Frequent co-authors include Lloyd A. Greene, Beverly Y. Wang, Joan Gil, D. Stave Kohtz, Mark M. Black, Pamela D. Unger, Li Gan, Lorraine K. Miller, Maoxin Wu and Edmond Sabo. Their work appears in journals such as Human Pathology, Histopathology, American Journal of Clinical Pathology, Diagnostic Cytopathology and Archives of Pathology & Laboratory Medicine.

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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