Brigitte Neuber

1.4k citations
42 papers · 698 indexed · h-index 16

Impact in

  • Oncology top 5%
    • CAR-T cell therapy research
  • Hematology top 5%
    • Multiple Myeloma Research and Treatments

Papers in

    • CAR-T cell therapy research 32
    • Multiple Myeloma Research and Treatments 8
    • Hematopoietic Stem Cell Transplantation 4

Brigitte Neuber

41 papers receiving 696 citations

Peers

Brigitte Neuber
Comparison fields: 5 of 46
  • Oncology 529
  • Hematology 157
  • Immunology 229
  • Genetics 169
  • Genetics 59
Replace Katherine D. Cummins with:
Katherine D. Cummins United States
Tatsunori Goto Japan
Susanne Hofmann Germany
Namiko Okuyama Japan
Sunil S. Raikar United States
Sanfang Tu China
Reona Sakemura United States
Ruihao Huang China
Margot J. Pont United States
Caroline Arber United States
Brigitte Neuber relative to Katherine D. Cummins United States Katherine D. Cummins's profile →
Citations per field
00.5×10×14×
Katherine D. Cummins · 1×
Citations per year

Countries citing papers authored by Brigitte Neuber

Since Specialization
Citations

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

Fields of papers citing papers by Brigitte Neuber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201988
2 202052
3 201942
4 201941
5 201933
6 202032
7 201631
8 201131
9 202028
10 202127
11 200926
12 201821
13 202418
14 201917
15 202117
16 201915
17 201815
18 202014
19 202114
20 201514

About Brigitte Neuber

Brigitte Neuber is a scholar working on Oncology, Hematology, Immunology, Genetics and Transplantation, having authored 42 papers that have together received 698 indexed citations. Recurring topics across this work include CAR-T cell therapy research (32 papers), Virus-based gene therapy research (14 papers), Viral Infectious Diseases and Gene Expression in Insects (12 papers), Immunotherapy and Immune Responses (11 papers), Multiple Myeloma Research and Treatments (8 papers), Immune Cell Function and Interaction (7 papers), T-cell and B-cell Immunology (6 papers) and Hematopoietic Stem Cell Transplantation (4 papers). The work is most often cited by research in Oncology (529 citations), Hematology (157 citations), Immunology (229 citations), Genetics (169 citations) and Genetics (59 citations). Brigitte Neuber has collaborated with scholars based in Germany, China and Japan. Frequent co-authors include Michael Schmitt, Carsten Müller‐Tidow, Maria‐Luisa Schubert, Lei Wang, Peter Dreger, Anita Schmitt, Angela Hückelhoven‐Krauss, Leopold Sellner, Susanne Hofmann and Ulrike Gern. Their work appears in journals such as Blood, International Journal of Molecular Sciences, Frontiers in Immunology, Cancer Immunology Immunotherapy and Cells.

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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