Michael S. Chapman

7.1k citations
117 papers · 5.6k indexed · 1 hit paper · h-index 39
Topics
Virus-based gene therapy research (40 papers)Enzyme Structure and Function (31 papers)Protein Structure and Dynamics (23 papers)

In The Last Decade

Michael S. Chapman

117 papers receiving 5.5k citations

Hit Papers

An essential receptor for adeno-associated virus infection20162026201920222016100200300

Peers

Michael S. Chapman
Comparison fields: 5 of 143
  • Molecular Biology 3.5k
  • Genetics 2.5k
  • Infectious Diseases 1.1k
  • Cardiology and Cardiovascular Medicine 796
  • Animal Science and Zoology 746
Replace Phoebe L. Stewart with:
Phoebe L. Stewart United States
José L. Carrascosa Spain
Sarah J. Butcher Finland
Roger M. Burnett United States
R. Holland Cheng United States
Naiqian Cheng United States
Stephen D. Fuller Germany
Guy Schoehn France
Jonathan M. Grimes United Kingdom
Mark Yeager United States
Michael S. Chapman relative to Phoebe L. Stewart United States Phoebe L. Stewart's profile →
Citations per field
00.5×2.8×
Phoebe L. Stewart · 1×
Citations per year

Countries citing papers authored by Michael S. Chapman

Since Specialization
Citations

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

Fields of papers citing papers by Michael S. Chapman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael S. Chapman. 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 Michael S. Chapman. The network helps show where Michael S. Chapman may publish in the future.

Co-authorship network of co-authors of Michael S. Chapman

This figure shows the co-authorship network connecting the top 25 collaborators of Michael S. Chapman. A scholar is included among the top collaborators of Michael S. Chapman 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 Michael S. Chapman. Michael S. Chapman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 10
2 31
3 7
4 43
5 84
6 14
7 28
8 47
9 67
10 99
11 12
12 26
13 35
14 10
15 3
16 7
17 111
18 13
19 163
20 161

About Michael S. Chapman

Michael S. Chapman is a scholar working on Structural Biology, Animal Science and Zoology and Genetics, having authored 117 papers that have together received 5.6k indexed citations. Recurring topics across this work include Virus-based gene therapy research (40 papers), Enzyme Structure and Function (31 papers) and Protein Structure and Dynamics (23 papers). The work is most often cited by research in Structural Biology (343 citations), Genetics (2.5k citations) and Animal Science and Zoology (746 citations). Michael S. Chapman has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Qing Xie, Thayumanasamy Somasundaram, Michael G. Rossmann, Nancy Meyer, Felcy Fabiola, Thomas F. Lerch, Joan Hare, W. Ross Ellington, Arezki Azzi and Omar Davulcu. Their work appears in journals such as Nature, Science and Cell.

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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