Ann Brun

1.1k citations
25 papers · 815 · h-index 15

Impact in

  • Hematology top 5%
    • Hematopoietic Stem Cell Transplantation
    • Acute Myeloid Leukemia Research
    • Microbial Inactivation Methods

Papers in

    • Viral Infectious Diseases and Gene Expression in Insects 3
    • Virus-based gene therapy research 9

Ann Brun

25 papers receiving 800 citations

Peers

Ann Brun
Comparison fields: 5 of 73
  • Hematology 224
  • Biotechnology 95
  • Immunology 172
  • Molecular Biology 522
  • Genetics 158
Replace Babak Moghimi with:
Babak Moghimi United States
Michael Ehrhardt United States
Anne Terry United Kingdom
Andreas Wadle Germany
Emmanuel Ravet France
Helen Impey Australia
Denise Petersen United States
Michael H. Neale United Kingdom
Peter Verheesen Netherlands
Lisa Azzola Australia
Ann Brun relative to Babak Moghimi United States Babak Moghimi's profile →
Citations per field
00.5×1.5×1.9×
Babak Moghimi · 1×
Citations per year

Countries citing papers authored by Ann Brun

Since Specialization
Citations

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

Fields of papers citing papers by Ann Brun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993100
2 2004100
3 200390
4 200786
5 200270
6 201060
7 200342
8 200236
9 200735
10 200331
11 200729
12 200527
13 200021
14 200120
15 200020
16 200211
17 201211
18 200710
19 20028
20 20102

About Ann Brun

Ann Brun is a scholar working on Molecular Biology, Genetics, Oncology, Immunology and Hematology, having authored 25 papers that have together received 815 indexed citations. Recurring topics across this work include Virus-based gene therapy research (9 papers), Acute Myeloid Leukemia Research (4 papers), CAR-T cell therapy research (4 papers), Hematopoietic Stem Cell Transplantation (4 papers), Immunotherapy and Immune Responses (4 papers), Cytokine Signaling Pathways and Interactions (3 papers), Cell Adhesion Molecules Research (3 papers) and Viral Infectious Diseases and Gene Expression in Insects (3 papers). The work is most often cited by research in Hematology (224 citations), Biotechnology (95 citations), Immunology (172 citations), Molecular Biology (522 citations) and Genetics (158 citations). Ann Brun has collaborated with scholars based in Sweden, United States and Iceland. Frequent co-authors include Stefan Karlsson, Mats Ehinger, Jón Már Björnsson, Johan Richter, Mattias Magnusson, Mattias Magnusson, Xiaolong Fan, Nina Larsson, Leif G. Salford and Poul Kongstad. Their work appears in journals such as Blood, Molecular Therapy, Experimental Hematology, The Journal of Immunology and Human Gene Therapy.

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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