M D Challberg

4.5k citations
43 papers · 3.9k · h-index 30

Impact in

  • Virology top 1%
    • Poxvirus research and outbreaks
  • Genetics top 1%
    • Virus-based gene therapy research

Papers in

    • Viral Infectious Diseases and Gene Expression in Insects 9
    • CRISPR and Genetic Engineering 6
    • Virus-based gene therapy research 21
    • Animal Genetics and Reproduction 5

M D Challberg

43 papers receiving 3.6k citations

Peers

M D Challberg
Comparison fields: 5 of 78
  • Virology 507
  • Genetics 1.7k
  • Epidemiology 1.9k
  • Molecular Biology 1.8k
  • Oncology 623
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Citations per field
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Citations per year

Countries citing papers authored by M D Challberg

Since Specialization
Citations

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

Fields of papers citing papers by M D Challberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M D Challberg. 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 M D Challberg. The network helps show where M D Challberg may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1989462
2 1988292
3 1979251
4 1989199
5 1986192
6 1990185
7 1988155
8 1984151
9 1980149
10 1988145
11 2001129
12 1989111
13 198098
14 198292
15 197990
16 198889
17 198288
18 199285
19 198779
20 198176

About M D Challberg

M D Challberg is a scholar working on Molecular Biology, Genetics, Epidemiology, Ecology and Biotechnology, having authored 43 papers that have together received 3.9k indexed citations. Recurring topics across this work include Virus-based gene therapy research (21 papers), Herpesvirus Infections and Treatments (17 papers), Viral Infectious Diseases and Gene Expression in Insects (9 papers), Cytomegalovirus and herpesvirus research (8 papers), Transgenic Plants and Applications (7 papers), Bacteriophages and microbial interactions (7 papers), CRISPR and Genetic Engineering (6 papers) and Animal Genetics and Reproduction (5 papers). The work is most often cited by research in Virology (507 citations), Genetics (1.7k citations), Epidemiology (1.9k citations), Molecular Biology (1.8k citations) and Oncology (623 citations). M D Challberg has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Thomas J. Kelly, Nancy J. Nelson, Paul T. Englund, Paul D. Olivo, Jens Gottlieb, Duncan J. McGeoch, Donald M. Coen, Ronald J. Wides, D R Rawlins and Daniel S. Fierer. Their work appears in journals such as Journal of Virology, Proceedings of the National Academy of Sciences, Journal of Biological Chemistry, Molecular and Cellular Biology and Biochemical and Biophysical Research Communications.

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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