R. Auerbach

3.9k citations
64 papers · 3.1k · h-index 26

Impact in

Papers in

    • Angiogenesis and VEGF in Cancer 13
    • Congenital heart defects research 3
    • Immunotherapy and Immune Responses 4
    • Immune Response and Inflammation 3

R. Auerbach

62 papers receiving 2.9k citations

Peers

R. Auerbach
Comparison fields: 5 of 131
  • Immunology and Allergy 593
  • Cell Biology 543
  • Immunology 684
  • Hematology 332
  • Cancer Research 389
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Citations per field
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Citations per year

Countries citing papers authored by R. Auerbach

Since Specialization
Citations

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

Fields of papers citing papers by R. Auerbach

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1991346
2 1983287
3 1975228
4 1993216
5 1985143
6 1979142
7 1993129
8
Tumor-induced neovascularization in the mouse eye.
1982122
9
A hemangioendothelioma-derived cell line: its use as a model for the study of endothelial cell biology.
1990121
10
Heterogeneity of mouse vascular endothelium. In vitro studies of lymphatic, large blood vessel and microvascular endothelial cells.
1987118
11 1958105
12 196395
13 198288
14 198481
15
An in vivo function for the transforming Myc protein: elicitation of the angiogenic phenotype.
200063
16 196058
17
The role of liver biopsies in psoriatic patients receiving long-term methotrexate treatment. Improvement in liver abnormalities after cessation of treatment.
198956
18 196648
19
Isolation and identification of fresh tumor-derived endothelial cells from a murine RIF-1 fibrosarcoma.
199448
20 199146

About R. Auerbach

R. Auerbach is a scholar working on Molecular Biology, Immunology, Radiology, Nuclear Medicine and Imaging, Immunology and Allergy and Cancer Research, having authored 64 papers that have together received 3.1k indexed citations. Recurring topics across this work include Angiogenesis and VEGF in Cancer (13 papers), Cell Adhesion Molecules Research (7 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Cancer, Hypoxia, and Metabolism (5 papers), Immunotherapy and Immune Responses (4 papers), Hair Growth and Disorders (4 papers), Immune Response and Inflammation (3 papers) and Congenital heart defects research (3 papers). The work is most often cited by research in Immunology and Allergy (593 citations), Cell Biology (543 citations), Immunology (684 citations), Hematology (332 citations) and Cancer Research (389 citations). R. Auerbach has collaborated with scholars based in United States, Germany and France. Frequent co-authors include Younan A. Sidky, Vr. Muthukkaruppan, Hua Huang, L. J. Alby, Louis Kubai, Masao Kimoto, P W Kincade, Katsuhiko Ishihara, Kay L. Medina and Kensuke Miyake. Their work appears in journals such as Experimental Biology and Medicine, Science, Experimental Cell Research, Proceedings of the National Academy of Sciences and JNCI Journal of the National Cancer Institute.

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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