Magda Altmann

669 citations
8 papers · 568 · h-index 7

Impact in

Papers in

    • Estrogen and related hormone effects 5
    • Virus-based gene therapy research 2
    • Renal and related cancers 1
    • Epigenetics and DNA Methylation 1

Magda Altmann

8 papers receiving 552 citations

Peers

Magda Altmann
Comparison fields: 5 of 75
  • Genetics 279
  • Clinical Biochemistry 62
  • Immunology 164
  • Reproductive Medicine 60
  • Toxicology 21
Replace Francis Stewart with:
Francis Stewart Germany
T. Ratajczak Australia
Sabina Calogero Italy
Bridget O’Keeffe United States
Masao Izawa Japan
B. J. Davis United States
Yona Eli Israel
Stephany El‐Hayek Lebanon
M. Kéramidas France
Valanila P. Rajan United States
Magda Altmann relative to Francis Stewart Germany Francis Stewart's profile →
Citations per field
00.5×5.2×
Francis Stewart · 1×
Citations per year

Countries citing papers authored by Magda Altmann

Since Specialization
Citations

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

Fields of papers citing papers by Magda Altmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Magda Altmann, 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 Magda Altmann Line = papers co-authored together Magda Altmann links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 1998295
2 199193
3 199569
4 199837
5 199133
6 199627
7
Chemically induced differentiation of murine embryonal carcinoma in vivo: transplantation of differentiated tumors.
19848
8
Malignant neoplasms of differentiated cells occurring after retinoic acid treatment of murine embryonal carcinomas in vivo.
19846

About Magda Altmann

Magda Altmann is a scholar working on Genetics, Molecular Biology, Cellular and Molecular Neuroscience, Radiology, Nuclear Medicine and Imaging and Surgery, having authored 8 papers that have together received 568 indexed citations. Recurring topics across this work include Estrogen and related hormone effects (5 papers), Virus-based gene therapy research (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Neurobiology and Insect Physiology Research (2 papers), Endometriosis Research and Treatment (1 paper), Renal and related cancers (1 paper), Eosinophilic Esophagitis (1 paper) and Epigenetics and DNA Methylation (1 paper). The work is most often cited by research in Genetics (279 citations), Clinical Biochemistry (62 citations), Immunology (164 citations), Reproductive Medicine (60 citations) and Toxicology (21 citations). Magda Altmann has collaborated with scholars based in United States and Italy. Frequent co-authors include Dean P. Edwards, Steven K. Nordeen, Vida Senkus Melvin, Elizabeth A. Allegretto, Paul Prendergast, Viroj Boonyaratanakornkit, Marco E. Bianchi, Laima Taraseviciene, Lorenza Ronfani and Candace A. Beck. Their work appears in journals such as Molecular Endocrinology, Clinical Infectious Diseases, The Journal of Steroid Biochemistry and Molecular Biology, Molecular and Cellular Biology and Journal of Biological Chemistry.

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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