Muriel Lederman

36 papers receiving 586 citations

Peers

Muriel Lederman
Comparison fields: 5 of 99
  • Animal Science and Zoology 128
  • Infectious Diseases 182
  • Genetics 260
  • Clinical Biochemistry 47
  • History and Philosophy of Science 34
Replace Gordon Edlin with:
Gordon Edlin United States
Tsuyoshi Kakefuda United States
K. Wolf Germany
Otto E. Landman United States
John Carvalho United States
E. Wollman France
K. Khafizov Russia
Lyle R. Brown United States
Francis J. Ryan United States
Stephan Lorenzen Germany
Muriel Lederman relative to Gordon Edlin United States Gordon Edlin's profile →
Citations per field
00.5×11.6×
Gordon Edlin · 1×
Citations per year

Countries citing papers authored by Muriel Lederman

Since Specialization
Citations

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

Fields of papers citing papers by Muriel Lederman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 197058
2 197346
3 198442
4 198041
5 198036
6 198833
7 196832
8 197428
9 199328
10 196727
11 196727
12 198826
13 198323
14 198923
15 198923
16 199322
17 196920
18 200318
19 199016
20 199314

About Muriel Lederman

Muriel Lederman is a scholar working on Genetics, Infectious Diseases, Molecular Biology, Animal Science and Zoology and Ecology, having authored 38 papers that have together received 679 indexed citations. Recurring topics across this work include Virus-based gene therapy research (13 papers), Parvovirus B19 Infection Studies (11 papers), Animal Virus Infections Studies (11 papers), RNA and protein synthesis mechanisms (4 papers), Mitochondrial Function and Pathology (3 papers), Career Development and Diversity (3 papers), Bacteriophages and microbial interactions (3 papers) and Metabolism and Genetic Disorders (2 papers). The work is most often cited by research in Animal Science and Zoology (128 citations), Infectious Diseases (182 citations), Genetics (260 citations), Clinical Biochemistry (47 citations) and History and Philosophy of Science (34 citations). Muriel Lederman has collaborated with scholars based in United States and France. Frequent co-authors include Robert C. Bates, Giuseppe Attardi, Geoffrey Zubay, Ernest R. Stout, Richard M. Burian, John T. Patton, Tracy D. Wilkins, S E West, Marion Ehrich and T D Wilkins. Their work appears in journals such as Journal of Virology, Journal of the History of Biology, Biochemical and Biophysical Research Communications, Journal of Molecular Biology and Proceedings of the National Academy of Sciences.

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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