Daniel B. Rubinstein

952 citations
21 papers · 780 · h-index 12

Impact in

  • Hematology top 5%
    • Hematopoietic Stem Cell Transplantation
  • Immunology top 10%
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology

Papers in

Daniel B. Rubinstein

21 papers receiving 758 citations

Peers

Daniel B. Rubinstein
Comparison fields: 5 of 73
  • Hematology 184
  • Immunology 273
  • Radiology, Nuclear Medicine and Imaging 129
  • Genetics 55
  • Oncology 134
Replace Judith Gan with:
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Wendy Diane Cook Australia
Tomoaki Kuwaki Japan
Shinsuke Ohno Sweden
J Gorka United States
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Citations per year

Countries citing papers authored by Daniel B. Rubinstein

Since Specialization
Citations

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

Fields of papers citing papers by Daniel B. Rubinstein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel B. Rubinstein. 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 Daniel B. Rubinstein. The network helps show where Daniel B. Rubinstein may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998280
2 2005167
3 200480
4 199954
5 198123
6 201223
7 200620
8 199820
9
Overexpression of DNA-binding protein B gene product in breast cancer as detected by in vitro-generated combinatorial human immunoglobulin libraries.
200218
10 200818
11 199316
12 202014
13 199912
14 201610
15 19986
16 19996
17 19994
18 20183
19 19962
20 19942

About Daniel B. Rubinstein

Daniel B. Rubinstein is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging, Hematology, Molecular Biology and Genetics, having authored 21 papers that have together received 780 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (10 papers), Glycosylation and Glycoproteins Research (9 papers), Immune Cell Function and Interaction (4 papers), Hematopoietic Stem Cell Transplantation (4 papers), Immunodeficiency and Autoimmune Disorders (3 papers), Immunotherapy and Immune Responses (3 papers), Virus-based gene therapy research (2 papers) and Bacteriophages and microbial interactions (2 papers). The work is most often cited by research in Hematology (184 citations), Immunology (273 citations), Radiology, Nuclear Medicine and Imaging (129 citations), Genetics (55 citations) and Oncology (134 citations). Daniel B. Rubinstein has collaborated with scholars based in United States, Israel and Belgium. Frequent co-authors include Thierry A. Guillaume, Michel Symann, Daniel H. Wreschner, Ravit Ziv, Nechama I. Smorodinsky, Mordechai Weiss, Fiana Levitin, Michael S. Boosalis, Raheela Ashfaq and Alexei Stortchevoi. Their work appears in journals such as Molecular Immunology, Blood, International Journal of Cancer, Best Practice & Research Clinical Haematology and Cancer Research.

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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