Walter Royal

73 papers receiving 2.3k citations

Peers

Walter Royal
Comparison fields: 5 of 113
  • Virology 676
  • Biological Psychiatry 126
  • Neurology 297
  • Pathology and Forensic Medicine 448
  • Geriatrics and Gerontology 94
Replace Dianne Langford with:
Dianne Langford United States
Irina Elovaara Finland
Prisco Mirandola Italy
William R. Tyor United States
Katrin Hahn Germany
Sieghart Sopper Germany
Yasuhiro Nishiyama Japan
William G. Branton Canada
Siân M. Henson United Kingdom
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Walter Royal relative to Dianne Langford United States Dianne Langford's profile →
Citations per field
00.5×10×13.4×
Dianne Langford · 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 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018198
2 2013119
3 1998118
4 2012104
5 200895
6 200995
7 201777
8 201666
9 201666
10 200361
11 201259
12 200958
13 201458
14 199857
15 200253
16 199748
17 200346
18 199246
19 199441
20 201036

About Walter Royal

Walter Royal is a scholar working on Virology, Infectious Diseases, Pathology and Forensic Medicine, Molecular Biology and Epidemiology, having authored 75 papers that have together received 2.4k indexed citations. Recurring topics across this work include HIV Research and Treatment (30 papers), HIV/AIDS Research and Interventions (13 papers), Multiple Sclerosis Research Studies (13 papers), HIV-related health complications and treatments (11 papers), Neuroinflammation and Neurodegeneration Mechanisms (10 papers), Retinoids in leukemia and cellular processes (6 papers), Polyomavirus and related diseases (5 papers) and Mosquito-borne diseases and control (5 papers). The work is most often cited by research in Virology (676 citations), Biological Psychiatry (126 citations), Neurology (297 citations), Pathology and Forensic Medicine (448 citations) and Geriatrics and Gerontology (94 citations). Walter Royal has collaborated with scholars based in United States, Nigeria and Canada. 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 Richard L. Skolasky. Their work appears in journals such as Journal of NeuroVirology, Journal of Neuroimmunology, Neuroepidemiology, JAIDS Journal of Acquired Immune Deficiency Syndromes and Neurology.

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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