J.W. Van Dyke

603 citations
31 papers · 384 indexed · h-index 13
Topics
Bacterial Identification and Susceptibility Testing (6 papers)Antibiotic Resistance in Bacteria (4 papers)Infective Endocarditis Diagnosis and Management (4 papers)
Partner nations
United StatesChina

In The Last Decade

J.W. Van Dyke

31 papers receiving 338 citations

Peers

J.W. Van Dyke
Comparison fields: 5 of 94
  • Epidemiology 127
  • Clinical Biochemistry 125
  • Infectious Diseases 76
  • Public Health, Environmental and Occupational Health 63
  • Endocrinology 53
Replace Benedict L. Wasilauskas with:
Benedict L. Wasilauskas United States
Patricia Brannon United States
Jeonghyun Chang South Korea
Peter Bloembergen Netherlands
J.H. Andrew Australia
Morton Hamburger United States
José Luis Fuentes-Allen Mexico
Loretta Gaido United States
A. Turner United Kingdom
Leigh Dini South Africa
J.W. Van Dyke relative to Benedict L. Wasilauskas United States Benedict L. Wasilauskas's profile →
Citations per field
00.5×1.5×
Benedict L. Wasilauskas · 1×
Citations per year

Countries citing papers authored by J.W. Van Dyke

Since Specialization
Citations

This map shows the geographic impact of J.W. 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 J.W. 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 J.W. Van Dyke more than expected).

Fields of papers citing papers by J.W. Van Dyke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J.W. Van Dyke

This figure shows the co-authorship network connecting the top 25 collaborators of J.W. Van Dyke. A scholar is included among the top collaborators of J.W. 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 J.W. Van Dyke. J.W. Van Dyke 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 3
2 6
3 3
4 16
5 13
6 16
7 23
8 8
9 19
10 16
11
Technical and environmental aspects of electric power transmission
2
12 1
13 5
14 55
15 25
16 12
17 6
18 17
19 15
20 11

About J.W. Van Dyke

J.W. Van Dyke is a scholar working on Endocrinology, Clinical Biochemistry and Molecular Medicine, having authored 31 papers that have together received 384 indexed citations. Recurring topics across this work include Bacterial Identification and Susceptibility Testing (6 papers), Antibiotic Resistance in Bacteria (4 papers) and Infective Endocarditis Diagnosis and Management (4 papers). The work is most often cited by research in Clinical Biochemistry (125 citations), Endocrinology (53 citations) and Applied Microbiology and Biotechnology (10 citations). J.W. Van Dyke has collaborated with scholars based in United States and China. Frequent co-authors include Joseph R. DiPersio, P.R. Barnes, David G. Beckwith, Peter C. Appelbaum, H. R. Snyder, Donald Jungkind, S D Allen, E. O. Hill, Ashir Kumar and Donald C. Anderson. Their work appears in journals such as Journal of Clinical Microbiology, Journal of Medicinal Chemistry and American Journal of Obstetrics and Gynecology.

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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