Daniel J. Sheward

5.1k citations
37 papers · 2.1k indexed · 1 hit paper · h-index 18
Topics
SARS-CoV-2 and COVID-19 Research (24 papers)HIV Research and Treatment (11 papers)COVID-19 Clinical Research Studies (7 papers)
Journals
Nature MedicineNature CommunicationsSHILAP Revista de lepidopterología

In The Last Decade

Daniel J. Sheward

36 papers receiving 2.1k citations

Hit Papers

FUBAR: A Fast, Unconstrained Bayesian AppRoximation for I...20132026201720212013250500750

Peers

Daniel J. Sheward
Comparison fields: 5 of 106
  • Infectious Diseases 964
  • Molecular Biology 662
  • Immunology 496
  • Virology 454
  • Radiology, Nuclear Medicine and Imaging 394
Replace Gene S. Tan with:
Gene S. Tan United States
Thomas Krey Germany
Scott J. Goebel United States
Sue E. Delos United States
Yingying Li United States
F. G. C. M. UytdeHaag Netherlands
Connie S. Schmaljohn United States
Michael Tristem United Kingdom
De‐chu C. Tang United States
Daniel J. Sheward relative to Gene S. Tan United States Gene S. Tan's profile →
Citations per field
00.5×1.5×
Gene S. Tan · 1×
Citations per year

Countries citing papers authored by Daniel J. Sheward

Since Specialization
Citations

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

Fields of papers citing papers by Daniel J. Sheward

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel J. Sheward. 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 Daniel J. Sheward. The network helps show where Daniel J. Sheward may publish in the future.

Co-authorship network of co-authors of Daniel J. Sheward

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel J. Sheward. A scholar is included among the top collaborators of Daniel J. Sheward 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 Daniel J. Sheward. Daniel J. Sheward 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 5
3 54
4 5
5 3
6 55
7 13
8 22
9 5
10 0
11 20
12 27
13 14
14 15
15 35
16 229
17 99
18 17
19 1
20 1

About Daniel J. Sheward

Daniel J. Sheward is a scholar working on Virology, Infectious Diseases and Animal Science and Zoology, having authored 37 papers that have together received 2.1k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (24 papers), HIV Research and Treatment (11 papers) and COVID-19 Clinical Research Studies (7 papers). The work is most often cited by research in Virology (454 citations), Infectious Diseases (964 citations) and Immunology (496 citations). Daniel J. Sheward has collaborated with scholars based in Sweden, South Africa and United States. Frequent co-authors include Ben Murrell, Sergei L. Kosakovsky Pond, S. Moola, Konrad Scheffler, Thomas Weighill, Leo Hanke, Gerald M. McInerney, Laura Perez Vidakovics, Gunilla B. Karlsson Hedestam and Hrishikesh Das. Their work appears in journals such as Nature Medicine, Nature Communications and SHILAP Revista de lepidopterología.

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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