Moshe Glaser

1.2k citations
40 papers · 1.0k · h-index 19

Impact in

  • Immunology top 5%
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Macrophage Migration Inhibitory Factor
    • Immune Response and Inflammation
  • Oncology top 10%
    • Cancer Immunotherapy and Biomarkers

Papers in

    • Immunotherapy and Immune Responses 20
    • Immune Cell Function and Interaction 14
    • Macrophage Migration Inhibitory Factor 5
    • T-cell and B-cell Immunology 4
    • CAR-T cell therapy research 5

Moshe Glaser

40 papers receiving 883 citations

Peers

Moshe Glaser
Comparison fields: 5 of 82
  • Immunology 629
  • Oncology 253
  • Biotechnology 54
  • Genetics 131
  • Radiology, Nuclear Medicine and Imaging 90
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Citations per field
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Citations per year

Countries citing papers authored by Moshe Glaser

Since Specialization
Citations

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

Fields of papers citing papers by Moshe Glaser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Moshe Glaser, 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 Moshe Glaser Line = papers co-authored together Moshe Glaser 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 1999133
2 1979101
3 197681
4 197557
5 197556
6 197455
7 197947
8 197636
9 198232
10 197631
11 198231
12 197428
13 197927
14 197624
15 198023
16 200023
17
Study of the cellular immune response to Gross virus-induced lymphoma by the mixed lymphocyte-tumor interaction.
197423
18
Inhibition of plaque formation, rosette formation and phagocytosis by alpha globulin.
197220
19 197419
20 197615

About Moshe Glaser

Moshe Glaser is a scholar working on Immunology, Oncology, Genetics, Molecular Biology and Epidemiology, having authored 40 papers that have together received 1.0k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (20 papers), Immune Cell Function and Interaction (14 papers), Virus-based gene therapy research (8 papers), CAR-T cell therapy research (5 papers), Cancer Research and Treatments (5 papers), Macrophage Migration Inhibitory Factor (5 papers), Hepatitis B Virus Studies (4 papers) and T-cell and B-cell Immunology (4 papers). The work is most often cited by research in Immunology (629 citations), Oncology (253 citations), Biotechnology (54 citations), Genetics (131 citations) and Radiology, Nuclear Medicine and Imaging (90 citations). Moshe Glaser has collaborated with scholars based in United States, Israel and Canada. Frequent co-authors include Ronald B. Herberman, Holger Kirchner, David H. Lavrin, David Nelken, Julie Y. Djeu, R B Herberman, Myrthel E. Nunn, Reuben Lotan, J Y Djeu and Paul L. Kornblith. Their work appears in journals such as Cellular Immunology, JNCI Journal of the National Cancer Institute, The Journal of Immunology, Nature and Transplantation.

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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