Ines Beyer

1.6k citations
33 papers · 1.3k · h-index 20

Impact in

  • Oncology top 5%
    • CAR-T cell therapy research
    • Cancer Cells and Metastasis
  • Genetics top 5%
    • Virus-based gene therapy research

Papers in

Ines Beyer

32 papers receiving 1.3k citations

Peers

Ines Beyer
Comparison fields: 5 of 92
  • Oncology 428
  • Genetics 419
  • Reproductive Medicine 104
  • Obstetrics and Gynecology 73
  • Immunology 197
Replace Yosuke Kawakami with:
Yosuke Kawakami Japan
Takashi Yugawa Japan
L. Bronz Switzerland
C. Halbert United States
Chiara F. Magnani Italy
Iulia Diaconu Finland
J G Guillet France
Yanto Lunardi-Iskandar United States
Olivia Bawa France
Sasha Lazetic United States
Ines Beyer relative to Yosuke Kawakami Japan Yosuke Kawakami's profile →
Citations per field
00.5×2×4×6×7.1×
Yosuke Kawakami · 1×
Citations per year

Countries citing papers authored by Ines Beyer

Since Specialization
Citations

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

Fields of papers citing papers by Ines Beyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010348
2 2011163
3 201172
4 201061
5 201758
6 201254
7 201249
8 200943
9 201137
10 201236
11 201435
12 202135
13 202130
14 200927
15 200327
16 201126
17
Cysteine-rich fibroblast growth factor receptor 1, a new marker for precancerous epithelial lesions defined by the human monoclonal antibody PAM-1.
200325
18 201323
19 201222
20 201022

About Ines Beyer

Ines Beyer is a scholar working on Molecular Biology, Reproductive Medicine, Genetics, Immunology and Oncology, having authored 33 papers that have together received 1.3k indexed citations. Recurring topics across this work include Endometriosis Research and Treatment (7 papers), Virus-based gene therapy research (7 papers), Immunotherapy and Immune Responses (4 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Pregnancy-related medical research (2 papers), Ovarian cancer diagnosis and treatment (2 papers), Reproductive System and Pregnancy (2 papers) and Cancer Cells and Metastasis (2 papers). The work is most often cited by research in Oncology (428 citations), Genetics (419 citations), Reproductive Medicine (104 citations), Obstetrics and Gynecology (73 citations) and Immunology (197 citations). Ines Beyer has collaborated with scholars based in Germany, United States and Finland. Frequent co-authors include André Lieber, Charles W. Drescher, Akseli Hemminki, Robert Strauss, Jonas Persson, Nicole Urban, Thomas Möller, Xiao‐Bing Zhang, Ruan van Rensburg and Zongyi Li. Their work appears in journals such as PLoS ONE, Archives of Gynecology and Obstetrics, Molecular Therapy, Fertility and Sterility and Tissue Barriers.

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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