Sigrun Hallmeyer

6.5k citations
44 papers · 918 · h-index 16

Impact in

  • Oncology top 5%
    • CAR-T cell therapy research
    • Cancer Immunotherapy and Biomarkers
    • Cancer survivorship and care
    • Cutaneous Melanoma Detection and Management
  • Immunology top 10%
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction

Papers in

    • CAR-T cell therapy research 20
    • Cancer Immunotherapy and Biomarkers 15
    • Cutaneous Melanoma Detection and Management 5
    • Virus-based gene therapy research 14

Sigrun Hallmeyer

41 papers receiving 894 citations

Peers

Sigrun Hallmeyer
Comparison fields: 5 of 75
  • Oncology 595
  • Immunology 239
  • Genetics 168
  • Biotechnology 26
  • Molecular Biology 177
Replace Tasha M. Hughes with:
Tasha M. Hughes United States
Christopher A. Smith United Kingdom
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Maggie L. DiNome United States
Kerri S. Bevis United States
Takahiro Karasuno Japan
Tetsuji Takeshita Japan
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Citations per field
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Citations per year

Countries citing papers authored by Sigrun Hallmeyer

Since Specialization
Citations

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

Fields of papers citing papers by Sigrun Hallmeyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017237
2 2021138
3 201555
4 201649
5 200546
6 201634
7 202433
8 201528
9 201527
10 202226
11 201724
12 201723
13 201423
14 201720
15 201717
16 201817
17 202015
18 201312
19 201612
20 20179

About Sigrun Hallmeyer

Sigrun Hallmeyer is a scholar working on Oncology, Genetics, Molecular Biology, Biotechnology and Immunology, having authored 44 papers that have together received 918 indexed citations. Recurring topics across this work include CAR-T cell therapy research (20 papers), Cancer Immunotherapy and Biomarkers (15 papers), Virus-based gene therapy research (14 papers), Cancer Research and Treatments (9 papers), Melanoma and MAPK Pathways (8 papers), Immunotherapy and Immune Responses (7 papers), Cutaneous Melanoma Detection and Management (5 papers) and Click Chemistry and Applications (3 papers). The work is most often cited by research in Oncology (595 citations), Immunology (239 citations), Genetics (168 citations), Biotechnology (26 citations) and Molecular Biology (177 citations). Sigrun Hallmeyer has collaborated with scholars based in United States, United Kingdom and Israel. Frequent co-authors include Brendan D. Curti, Jon Richards, David Kushner, Barbara L. Andersen, Katherine N. DuHamel, Sage Bolte, Darren R. Shafren, Patricia A. Ganz, Shari Damast and Shari Goldfarb. Their work appears in journals such as Journal of Clinical Oncology, Cancer Research, Journal for ImmunoTherapy of Cancer, Annals of Oncology and European Journal of Cancer.

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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