Brigitte Gerhard

1.1k citations
13 papers · 855 indexed · h-index 11

Impact in

  • Hematology top 2%
    • Acute Myeloid Leukemia Research
    • Hematopoietic Stem Cell Transplantation
    • Chronic Myeloid Leukemia Treatments
    • Enzyme Production and Characterization

Papers in

    • Acute Myeloid Leukemia Research 7
    • Hematopoietic Stem Cell Transplantation 6
    • Toxin Mechanisms and Immunotoxins 4
    • Immune cells in cancer 2

Brigitte Gerhard

13 papers receiving 845 citations

Peers

Brigitte Gerhard
Comparison fields: 5 of 61
  • Hematology 419
  • Biotechnology 140
  • Immunology 238
  • Oncology 288
  • Molecular Biology 385
Replace V S Goldmacher with:
V S Goldmacher United States
D. A. Vallera United States
Feng Meng United States
Haiyan Xing China
K A Smith United States
I Buyuksal United States
Cynthia Huisman Netherlands
Annalisa Rossini Italy
Duane E. Day United States
Fengshu Zhao China
Brigitte Gerhard relative to V S Goldmacher United States V S Goldmacher's profile →
Citations per field
00.5×3.9×
V S Goldmacher · 1×
Citations per year

Countries citing papers authored by Brigitte Gerhard

Since Specialization
Citations

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

Fields of papers citing papers by Brigitte Gerhard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside Brigitte Gerhard, 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 Gerhard Line = papers co-authored together Brigitte Gerhard links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 20125
2 201164
3 200636
4 200416
5 2003208
6
A diphtheria toxin-interleukin 3 fusion protein is cytotoxic to primitive acute myeloid leukemia progenitors but spares normal progenitors.
200289
7 200024
8 1999133
9 199956
10 199784
11 19975
12 1986123
13 198212

About Brigitte Gerhard

Brigitte Gerhard is a scholar working on Hematology, Immunology, Oncology, Genetics and Biotechnology, having authored 13 papers that have together received 855 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (7 papers), Hematopoietic Stem Cell Transplantation (6 papers), CAR-T cell therapy research (4 papers), Toxin Mechanisms and Immunotoxins (4 papers), Virus-based gene therapy research (3 papers), Acute Lymphoblastic Leukemia research (3 papers), Immune cells in cancer (2 papers) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Hematology (419 citations), Biotechnology (140 citations), Immunology (238 citations), Oncology (288 citations) and Molecular Biology (385 citations). Brigitte Gerhard has collaborated with scholars based in Canada and United States. Frequent co-authors include Donna E. Hogge, Laurie Ailles, Yinghui Guan, Hiroyuki Kawagoe, Michaela Feuring‐Buske, Douglas G. Kilburn, Wan Keung Wong, Robert C. Miller, James Warren and Arthur E. Frankel. Their work appears in journals such as Blood, Experimental Hematology, Gene, Clinical Cancer Research and Biochemistry.

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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