M D Challberg

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

Impact in

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

Papers in

M D Challberg

43 papers receiving 3.6k citations

Peers

M D Challberg
Comparison fields: 5 of 78
  • Virology 510
  • Genetics 1.7k
  • Epidemiology 1.9k
  • Molecular Biology 1.8k
  • Oncology 634
Replace Rolf E. Streeck with:
Rolf E. Streeck Germany
L. Prevec Canada
J. Barklie Clements United Kingdom
Fred L. Homa United States
Monika Lusky France
M. Mackett United Kingdom
H S Ginsberg United States
Brian W. J. Mahy United Kingdom
H. S. Marsden United Kingdom
Rafael Blasco Spain
M D Challberg relative to Rolf E. Streeck Germany Rolf E. Streeck's profile →
Citations per field
00.5×1.5×2.4×
Rolf E. Streeck · 1×
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-authorship network

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
#Work
1 201970
2 200512
3 2001129
4 19989
5 199617
6 199519
7 199468
8 199261
9 199059
10 1989197
11 1989462
12 198889
13 1988144
14 198733
15 19868
16 19838
17 198292
18 198175
19 198098
20 197955

About M D Challberg

M D Challberg is a scholar working on Virology, Biotechnology, Genetics, Epidemiology and Molecular Biology, 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), Bacteriophages and microbial interactions (7 papers), Transgenic Plants and Applications (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 (510 citations), Genetics (1.7k citations), Epidemiology (1.9k citations), Molecular Biology (1.8k citations) and Oncology (634 citations). M D Challberg has collaborated with scholars based in United States, United Kingdom and Slovakia. Frequent co-authors include Thomas J. Kelly, Nancy J. Nelson, Paul T. Englund, Paul D. Olivo, Jens Gottlieb, Duncan J. McGeoch, Donald M. Coen, D R Rawlins, Ronald J. Wides 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 Annual Review of Biochemistry.

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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