Margaret E. Black

3.7k citations
71 papers · 2.8k · h-index 27

Impact in

Papers in

    • Biochemical and Molecular Research 15
    • RNA Interference and Gene Delivery 10
    • Virus-based gene therapy research 37

Margaret E. Black

70 papers receiving 2.8k citations

Peers

Margaret E. Black
Comparison fields: 5 of 145
  • Biotechnology 444
  • Genetics 1.1k
  • Molecular Biology 1.7k
  • Oncology 406
  • Virology 67
Replace Ujwal Shinde with:
Ujwal Shinde United States
Richard L. Davidson United States
Egon Amann Germany
John E.G. McCarthy United Kingdom
J. Patrick Condreay United States
Lawrence A. Chasin United States
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Zvi Kelman United States
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Citations per field
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Citations per year

Countries citing papers authored by Margaret E. Black

Since Specialization
Citations

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

Fields of papers citing papers by Margaret E. Black

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Margaret E. Black. 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 Margaret E. Black. The network helps show where Margaret E. Black may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000354
2 2005290
3 1996220
4 1988203
5 2002127
6
Herpes simplex virus-1 thymidine kinase mutants created by semi-random sequence mutagenesis improve prodrug-mediated tumor cell killing.
2001124
7 200399
8 200378
9 200276
10 199975
11 199357
12 200454
13 200249
14 200043
15 200341
16 198641
17
Dermatologic changes after systemic cancer therapy.
198141
18 199640
19 198740
20 199036

About Margaret E. Black

Margaret E. Black is a scholar working on Molecular Biology, Genetics, Epidemiology, Oncology and Biotechnology, having authored 71 papers that have together received 2.8k indexed citations. Recurring topics across this work include Virus-based gene therapy research (37 papers), Herpesvirus Infections and Treatments (20 papers), Biochemical and Molecular Research (15 papers), RNA Interference and Gene Delivery (10 papers), Cancer Research and Treatments (7 papers), Bacteriophages and microbial interactions (7 papers), Cytomegalovirus and herpesvirus research (6 papers) and Monoclonal and Polyclonal Antibodies Research (5 papers). The work is most often cited by research in Biotechnology (444 citations), Genetics (1.1k citations), Molecular Biology (1.7k citations), Oncology (406 citations) and Virology (67 citations). Margaret E. Black has collaborated with scholars based in United States, South Africa and Canada. Frequent co-authors include Barry Stoddard, Mark Kokoris, Lawrence A. Loeb, Aaron Korkegian, David Baker, Gregory C. Ireton, Dennis E. Hruby, Peter J. Sabo, Heather Wilson‐Robles and Terry Newcomb. Their work appears in journals such as Human Gene Therapy, Journal of Biological Chemistry, Protein Engineering Design and Selection, Gene Therapy and Cancer 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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