Chaka C. Impraim
- Molecular Biology
- Epidemiology top 10%
- Pathology and Forensic Medicine top 10%
- Genetics
- Infectious Diseases
- Co-authors
- Raymond L. TeplitzRandall K. SaikiC. A. PasternakA YoshidaKingsley MicklemAkira YoshidaKeith FosterMichiharu Ikawa
- Topics
- HIV Research and Treatment (3 papers)Hepatitis B Virus Studies (3 papers)Hepatitis C virus research (3 papers)
- Journals
- Journal of Biological ChemistryBiochemical JournalBiochemical and Biophysical Research Communications
- Partner nations
- United StatesUnited KingdomSwitzerland
In The Last Decade
Chaka C. Impraim
15 papers receiving 810 citations
Peers
Comparison fields: 5 of 95
- Molecular Biology 383
- Epidemiology 284
- Pathology and Forensic Medicine 208
- Genetics 111
- Infectious Diseases 102
Countries citing papers authored by Chaka C. Impraim
This map shows the geographic impact of Chaka C. Impraim'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 Chaka C. Impraim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chaka C. Impraim more than expected).
Fields of papers citing papers by Chaka C. Impraim
This network shows the impact of papers produced by Chaka C. Impraim. 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 Chaka C. Impraim. The network helps show where Chaka C. Impraim may publish in the future.
Co-authorship network of co-authors of Chaka C. Impraim
This figure shows the co-authorship network connecting the top 25 collaborators of Chaka C. Impraim. A scholar is included among the top collaborators of Chaka C. Impraim 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 Chaka C. Impraim. Chaka C. Impraim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 65 | |
| 3 | 15 | |
| 4 | 9 | |
| 5 | 24 | |
| 6 | Occurrence of multiple types of human papillomavirus in genital tract lesions. Analysis by in situ hybridization and the polymerase chain reaction. | 83 |
| 7 | 210 | |
| 8 | 8 | |
| 9 | Discrimination among the human beta A, beta S, and beta C-globin genes using allele-specific oligonucleotide hybridization probes. | 20 |
| 10 | 99 | |
| 11 | Structural mutation in a major human aldehyde dehydrogenase gene results in loss of enzyme activity. | 75 |
| 12 | 66 | |
| 13 | 55 | |
| 14 | 98 | |
| 15 | 40 |
About Chaka C. Impraim
Chaka C. Impraim is a scholar working on Virology, Hepatology and Epidemiology, having authored 15 papers that have together received 871 indexed citations. Recurring topics across this work include HIV Research and Treatment (3 papers), Hepatitis B Virus Studies (3 papers) and Hepatitis C virus research (3 papers). The work is most often cited by research in Pathology and Forensic Medicine (208 citations), Epidemiology (284 citations) and Hepatology (61 citations). Chaka C. Impraim has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Raymond L. Teplitz, Randall K. Saiki, C. A. Pasternak, A Yoshida, Kingsley Micklem, Akira Yoshida, Keith Foster, Michiharu Ikawa, I.Y. Huang and Gerard J. Nuovo. Their work appears in journals such as Journal of Biological Chemistry, Biochemical Journal and Biochemical and Biophysical Research Communications.
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.