Walter Royal

75 papers receiving 2.4k citations

Peers

Walter Royal
Comparison fields: 5 of 110
  • Virology 653
  • Biological Psychiatry 114
  • Neurology 265
  • Geriatrics and Gerontology 87
  • Pathology and Forensic Medicine 407
Replace B. Tavolato with:
B. Tavolato Italy
Dianne Langford United States
Irina Elovaara Finland
William R. Tyor United States
Sieghart Sopper Germany
Katrin Hahn Germany
Veronica De Rosa Italy
Yasuhiro Nishiyama Japan
William G. Branton Canada
Amalia Rubio Spain
Walter Royal relative to B. Tavolato Italy B. Tavolato's profile →
Citations per field
00.5×10.9×
B. Tavolato · 1×
Citations per year

Countries citing papers authored by Walter Royal

Since Specialization
Citations

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

Fields of papers citing papers by Walter Royal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Walter Royal. 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 Walter Royal. The network helps show where Walter Royal may publish in the future.

Co-authors

The 25 scholars most cited alongside Walter Royal, 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 Walter Royal Line = papers co-authored together Walter Royal links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018205
2 2013120
3 1998117
4 2012107
5 200997
6 200895
7 201779
8 201668
9 201667
10 200361
11 201259
12 200959
13 201459
14 199856
15 200253
16 199748
17 199246
18 200346
19 199441
20 201237

About Walter Royal

Walter Royal is a scholar working on Virology, Infectious Diseases, Molecular Biology, Pathology and Forensic Medicine and Epidemiology, having authored 76 papers that have together received 2.4k indexed citations. Recurring topics across this work include HIV Research and Treatment (28 papers), Multiple Sclerosis Research Studies (12 papers), HIV/AIDS Research and Interventions (12 papers), Neuroinflammation and Neurodegeneration Mechanisms (8 papers), HIV-related health complications and treatments (8 papers), Retinoids in leukemia and cellular processes (7 papers), Polyomavirus and related diseases (5 papers) and HIV, Drug Use, Sexual Risk (4 papers). The work is most often cited by research in Virology (653 citations), Biological Psychiatry (114 citations), Neurology (265 citations), Geriatrics and Gerontology (87 citations) and Pathology and Forensic Medicine (407 citations). Walter Royal has collaborated with scholars based in United States, Nigeria and Australia. Frequent co-authors include Ming‐Lei Guo, Ola A. Selnes, J. C. McArthur, Christopher T. Bever, T. E. Nance‐Sproson, David Vlahov, Ashwani Khanna, Mandeep R. Mehra, Kerry Naunton and Justin C. McArthur. Their work appears in journals such as Journal of NeuroVirology, Journal of Neuroimmunology, JAIDS Journal of Acquired Immune Deficiency Syndromes, Experimental and Molecular Pathology and The Journal of Immunology.

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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