T A Van Dyke

807 citations
12 papers · 678 indexed · h-index 11
Topics
Virus-based gene therapy research (4 papers)Viral gastroenteritis research and epidemiology (3 papers)Viral Infections and Immunology Research (3 papers)
Partner nations
United States

In The Last Decade

T A Van Dyke

12 papers receiving 620 citations

Peers

T A Van Dyke
Comparison fields: 5 of 71
  • Molecular Biology 421
  • Cardiology and Cardiovascular Medicine 221
  • Genetics 136
  • Infectious Diseases 104
  • Oncology 94
Replace Ian W. Jeffrey with:
Ian W. Jeffrey United Kingdom
Jusan Yang United States
Naif A. M. Almontashiri Saudi Arabia
Philippe Benech France
Sadayoshi Sekiguchi Japan
Jong Heon Kim South Korea
Michael A. Schnell United States
Marie-Anne Germain Canada
Mathieu Durand Canada
Rafael J. Argüello France
T A Van Dyke relative to Ian W. Jeffrey United Kingdom Ian W. Jeffrey's profile →
Citations per field
00.5×2.9×
Ian W. Jeffrey · 1×
Citations per year

Countries citing papers authored by T A Van Dyke

Since Specialization
Citations

This map shows the geographic impact of T A Van Dyke'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 T A Van Dyke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T A Van Dyke more than expected).

Fields of papers citing papers by T A Van Dyke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T A Van Dyke. 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 T A Van Dyke. The network helps show where T A Van Dyke may publish in the future.

Co-authorship network of co-authors of T A Van Dyke

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

All Works

12 of 12 papers shown
#WorkIndexed citations
1 1
2 15
3 12
4 44
5 33
6 35
7 139
8 64
9 75
10 56
11 132
12 72

About T A Van Dyke

T A Van Dyke is a scholar working on Clinical Biochemistry, Developmental Neuroscience and Infectious Diseases, having authored 12 papers that have together received 678 indexed citations. Recurring topics across this work include Virus-based gene therapy research (4 papers), Viral gastroenteritis research and epidemiology (3 papers) and Viral Infections and Immunology Research (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (221 citations), Molecular Biology (421 citations) and Infectious Diseases (104 citations). T A Van Dyke has collaborated with scholars based in United States. Frequent co-authors include James B. Flanegan, James Darnell, Chenghui Yan, Robert H. Costa, Richard J. Rickles, Mark Brosnan, Alan P. Koretsky, Daniel L. Miller, Cathy A. Finlay and Jeffrey R. Marks. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The EMBO Journal.

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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