David J. Einstein

1.4k citations
73 papers · 594 · h-index 13

Impact in

Papers in

    • Prostate Cancer Treatment and Research 32
    • Prostate Cancer Diagnosis and Treatment 10
    • Renal cell carcinoma treatment 8
    • Cancer Immunotherapy and Biomarkers 11
    • Cancer Treatment and Pharmacology 7

David J. Einstein

69 papers receiving 585 citations

Peers

David J. Einstein
Comparison fields: 5 of 58
  • Pulmonary and Respiratory Medicine 255
  • Oncology 184
  • Cancer Research 99
  • Surgery 147
  • Public Health, Environmental and Occupational Health 51
Replace Kyle A. Blum with:
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Samuel Haywood United States
Séverine Banek Germany
Woo‐Kyun Bae South Korea
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Melina Shoni United States
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Citations per field
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Citations per year

Countries citing papers authored by David J. Einstein

Since Specialization
Citations

This map shows the geographic impact of David J. Einstein'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. Einstein 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. Einstein more than expected).

Fields of papers citing papers by David J. Einstein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202097
2 201953
3 201932
4 201725
5 202024
6 201923
7 202321
8 202221
9 201819
10 201518
11 202215
12 202314
13
Combined blockade of vascular endothelial growth factor and programmed death 1 pathways in advanced kidney cancer.
201713
14 202212
15 202411
16 202111
17 201911
18 201610
19 20248
20 20208

About David J. Einstein

David J. Einstein is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Radiology, Nuclear Medicine and Imaging, Cancer Research and Surgery, having authored 73 papers that have together received 594 indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (32 papers), Radiopharmaceutical Chemistry and Applications (13 papers), Cancer Immunotherapy and Biomarkers (11 papers), Prostate Cancer Diagnosis and Treatment (10 papers), Renal cell carcinoma treatment (8 papers), Palliative Care and End-of-Life Issues (8 papers), Cancer Genomics and Diagnostics (7 papers) and Cancer Treatment and Pharmacology (7 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (255 citations), Oncology (184 citations), Cancer Research (99 citations), Surgery (147 citations) and Public Health, Environmental and Occupational Health (51 citations). David J. Einstein has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Guru Sonpavde, Steven P. Balk, David F. McDermott, Brian Halbert, Paul Mathew, Seiji Arai, Katherine Levine Einstein, Xiao X. Wei, Glenn J. Bubley and Mary K. Buss. Their work appears in journals such as Journal of Clinical Oncology, Cancer Research, JCO Precision Oncology, Current Opinion in Oncology and Urology.

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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