William Lapps
Impact in
- Animal Science and Zoology top 5%
- Animal Virus Infections Studies
- Infectious Diseases top 5%
- Viral gastroenteritis research and epidemiology
- SARS-CoV-2 and COVID-19 Research
- Parvovirus B19 Infection Studies
Papers in
-
- Viral gastroenteritis research and epidemiology 6
- SARS-CoV-2 and COVID-19 Research 4
- Viral Infections and Outbreaks Research 3
- Parvovirus B19 Infection Studies 2
- Viral Infections and Vectors 2
-
- Animal Virus Infections Studies 6
- Co-authors
- David A. Brian (6 shared papers)Brenda G. Hogue (2 shared papers)James E. Whitman (4 shared papers)Mark H. Kaplan (3 shared papers)Dharam V. Ablashi (2 shared papers)J R Richert (1 shared paper)Gary R. Pearson (1 shared paper)Louise G. Chatlynne (4 shared papers)
- Journals
- Virology (3 papers)Vaccines (2 papers)Journal of Clinical Microbiology (1 paper)Blood (1 paper)Multiple Sclerosis Journal (1 paper)
- Partner nations
- United StatesAustriaMalaysia
In The Last Decade
William Lapps
15 papers receiving 535 citations
Peers
Comparison fields: 5 of 49
- Animal Science and Zoology 208
- Infectious Diseases 310
- Oncology 190
- Epidemiology 201
- Pathology and Forensic Medicine 42
Countries citing papers authored by William Lapps
This map shows the geographic impact of William Lapps'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 William Lapps with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William Lapps more than expected).
Fields of papers citing papers by William Lapps
This network shows the impact of papers produced by William Lapps. 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 William Lapps. The network helps show where William Lapps may publish in the future.
Co-authors
The 25 scholars most cited alongside William Lapps, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1987 | 143 | |
| 2 | 1998 | 137 | |
| 3 | 1998 | 103 | |
| 4 | 1987 | 36 | |
| 5 | 1988 | 35 | |
| 6 | 1990 | 32 | |
| 7 | 1985 | 18 | |
| 8 | 1998 | 15 | |
| 9 | 2020 | 9 | |
| 10 | 2022 | 8 | |
| 11 | 1987 | 8 | |
| 12 | 1997 | 4 | |
| 13 | 1998 | 2 | |
| 14 | 1990 | 1 | |
| 15 | 2020 | 1 |
About William Lapps
William Lapps is a scholar working on Infectious Diseases, Animal Science and Zoology, Epidemiology, Oncology and Genetics, having authored 15 papers that have together received 552 indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (6 papers), Animal Virus Infections Studies (6 papers), Cytomegalovirus and herpesvirus research (5 papers), Viral-associated cancers and disorders (4 papers), SARS-CoV-2 and COVID-19 Research (4 papers), Viral Infections and Outbreaks Research (3 papers), Parvovirus B19 Infection Studies (2 papers) and Viral Infections and Vectors (2 papers). The work is most often cited by research in Animal Science and Zoology (208 citations), Infectious Diseases (310 citations), Oncology (190 citations), Epidemiology (201 citations) and Pathology and Forensic Medicine (42 citations). William Lapps has collaborated with scholars based in United States, Austria and Malaysia. Frequent co-authors include David A. Brian, Brenda G. Hogue, James E. Whitman, Mark H. Kaplan, Dharam V. Ablashi, J R Richert, Gary R. Pearson, Louise G. Chatlynne, Yao Huang and Ann S. Hamilton. Their work appears in journals such as Virology, Vaccines, Journal of Clinical Microbiology, Blood and Multiple Sclerosis 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.