Suzanne Forry‐Schaudies

919 citations
19 papers · 805 indexed · h-index 15

Suzanne Forry‐Schaudies

19 papers receiving 776 citations

Peers

Suzanne Forry‐Schaudies
Comparison fields: 5 of 75
  • Molecular Biology 578
  • Genetics 272
  • Cardiology and Cardiovascular Medicine 223
  • Cell Biology 178
  • Oncology 176
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Countries citing papers authored by Suzanne Forry‐Schaudies

Since Specialization
Citations

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

Fields of papers citing papers by Suzanne Forry‐Schaudies

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Suzanne Forry‐Schaudies. 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 Suzanne Forry‐Schaudies. The network helps show where Suzanne Forry‐Schaudies may publish in the future.

Co-authorship network of co-authors of Suzanne Forry‐Schaudies

This figure shows the co-authorship network connecting the top 25 collaborators of Suzanne Forry‐Schaudies. A scholar is included among the top collaborators of Suzanne Forry‐Schaudies based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Suzanne Forry‐Schaudies. Suzanne Forry‐Schaudies is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
#WorkIndexed citations
1 14
2 36
3 67
4
An oncolytic adenovirus selective for retinoblastoma tumor suppressor protein pathway-defective tumors: dependence on E1A, the E2F-1 promoter, and viral replication for selectivity and efficacy.
83
5 74
6 53
7
An improved retroviral vector encoding the herpes simplex virus thymidine kinase gene increases antitumor efficacy in vivo.
33
8 29
9 28
10
Chicken cardiac tropomyosin and a low-molecular-weight nonmuscle tropomyosin are related by alternative splicing.
20
11
Vectors and genes for improvement of animal strains.
14
12 3
13 15
14 52
15 32
16 32
17 7
18 74
19 139

About Suzanne Forry‐Schaudies

Suzanne Forry‐Schaudies is a scholar working on Biotechnology, Cardiology and Cardiovascular Medicine and Genetics, having authored 19 papers that have together received 805 indexed citations. Recurring topics across this work include Virus-based gene therapy research (7 papers), Cardiomyopathy and Myosin Studies (6 papers) and Muscle Physiology and Disorders (4 papers). The work is most often cited by research in Cell Biology (178 citations), Cardiology and Cardiovascular Medicine (223 citations) and Genetics (272 citations). Suzanne Forry‐Schaudies has collaborated with scholars based in United States and Switzerland. Frequent co-authors include Howard Holtzer, Parker B. Antin, Thea M. Friedman, Stephen J. Tapscott, Yoshiro Toyama, Stephen H. Hughes, Rebecca Hoffman, S H Hughes, Lori Clarke and Sandrina Phipps. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Cell Biology.

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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