R. Auerbach

66 papers receiving 3k citations

Peers

R. Auerbach
Comparison fields: 5 of 100
  • Immunology and Allergy 400
  • Immunology 557
  • Hematology 288
  • Molecular Biology 1.2k
  • Modeling and Simulation 92
Replace Barbara Valentinis with:
Barbara Valentinis United States
Claire M. Dubois Canada
Akio Matsuzawa Japan
Ganapati H. Mahabaleshwar United States
Ian Carr United Kingdom
Patricia M. Simon-Assmann France
Luigi Pegoraro Italy
Clemens Scheinecker Austria
Paul Galand Belgium
Sonia B. Jakowlew United States
R. Auerbach relative to Barbara Valentinis United States Barbara Valentinis's profile →
Citations per field
00.5×5×11.5×
Barbara Valentinis · 1×
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 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1991349
2 1983314
3 1975256
4 1993225
5 1985169
6 1979158
7
Tumor-induced neovascularization in the mouse eye.
1982134
8
Heterogeneity of mouse vascular endothelium. In vitro studies of lymphatic, large blood vessel and microvascular endothelial cells.
1987132
9 1993128
10
A hemangioendothelioma-derived cell line: its use as a model for the study of endothelial cell biology.
1990120
11 1958115
12 1963105
13 198498
14 198295
15 196065
16
An in vivo function for the transforming Myc protein: elicitation of the angiogenic phenotype.
200064
17 199156
18
Isolation and identification of fresh tumor-derived endothelial cells from a murine RIF-1 fibrosarcoma.
199452
19 196651
20 197350

About R. Auerbach

R. Auerbach is a scholar working on Immunology, Molecular Biology, Hematology, Immunology and Allergy and Neurology, having authored 67 papers that have together received 3.4k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (20 papers), Angiogenesis and VEGF in Cancer (20 papers), Hematopoietic Stem Cell Transplantation (8 papers), Cell Adhesion Molecules Research (5 papers), Developmental Biology and Gene Regulation (5 papers), Barrier Structure and Function Studies (3 papers), Effects of Radiation Exposure (3 papers) and Cancer Cells and Metastasis (2 papers). The work is most often cited by research in Immunology and Allergy (400 citations), Immunology (557 citations), Hematology (288 citations), Molecular Biology (1.2k citations) and Modeling and Simulation (92 citations). R. Auerbach has collaborated with scholars based in United States, Germany and France. Frequent co-authors include Younan A. Sidky, Vr. Muthukkaruppan, L. J. Alby, Hua Huang, Louis Kubai, Lawrence W. Morrissey, Katsuhiko Ishihara, Kensuke Miyake, P W Kincade and Masao Kimoto. Their work appears in journals such as Experimental Biology and Medicine, Science, Experimental Cell Research, Proceedings of the National Academy of Sciences and The Journal of Experimental 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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