P. J. Kanki
- Virology top 0.5%
- HIV Research and Treatment 3
- Infectious Diseases top 5%
- HIV/AIDS Research and Interventions 3
- Immunology top 10%
- T-cell and Retrovirus Studies 5
- Epidemiology top 10%
- HIV, Drug Use, Sexual Risk 2
- Acute Ischemic Stroke Management 1
- Agronomy and Crop Science top 5%
- Animal Disease Management and Epidemiology 4
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- Vector-Borne Animal Diseases 2
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- Viral-associated cancers and disorders 1
- Co-authors
- Max EssexN. W. KingN L LetvinPriya SehgalMari KannagiM. D. DanielR. D. HuntR. C. Desrosiers
- Partner nations
- United StatesNigeriaPakistan
In The Last Decade
P. J. Kanki
12 papers receiving 973 citations
Hit Papers
Peers
Comparison fields: 5 of 65
- Virology 781
- Infectious Diseases 529
- Immunology 316
- Epidemiology 386
- Agronomy and Crop Science 100
Countries citing papers authored by P. J. Kanki
This map shows the geographic impact of P. J. Kanki'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 P. J. Kanki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P. J. Kanki more than expected).
Fields of papers citing papers by P. J. Kanki
This network shows the impact of papers produced by P. J. Kanki. 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 P. J. Kanki. The network helps show where P. J. Kanki may publish in the future.
Co-authorship network
The 25 scholars most cited alongside P. J. Kanki, 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 | Predictors and Prognosis of Stroke in Jos, North-Central Nigeria. | 2021 | 4 |
| 2 | 2014 | 36 | |
| 3 | 2011 | 117 | |
| 4 | Does immunological status affect the prevalence of Hepatitis C virus infection among HIV/AIDS patients? | 2007 | 5 |
| 5 | 2005 | 36 | |
| 6 | Biologic features of HIV-2. An update. | 1991 | 10 |
| 7 | Clinical significance of HIV-2 infection in West Africa. | 1989 | 9 |
| 8 | 1987 | 31 | |
| 9 | 1987 | 2 | |
| 10 | West African human retroviruses related to STLV-III. | 1987 | 24 |
| 11 | Isolation of T-Cell Tropic HTLV-III-Like Retrovirus from Macaquesbreakdown → | 1985 | 746 |
| 12 | Retroviruses associated with leukemia and ablative syndromes in animals and in human beings. | 1985 | 13 |
About P. J. Kanki
P. J. Kanki is a scholar working on Virology, Agronomy and Crop Science and Immunology, having authored 12 papers that have together received 1.0k indexed citations. Recurring topics across this work include T-cell and Retrovirus Studies (5 papers), Animal Disease Management and Epidemiology (4 papers), HIV Research and Treatment (3 papers), HIV/AIDS Research and Interventions (3 papers), HIV, Drug Use, Sexual Risk (2 papers), Vector-Borne Animal Diseases (2 papers), Viral-associated cancers and disorders (1 paper) and Acute Ischemic Stroke Management (1 paper). The work is most often cited by research in Virology (781 citations), Infectious Diseases (529 citations) and Immunology (316 citations). P. J. Kanki has collaborated with scholars based in United States, Nigeria and Pakistan. Frequent co-authors include Max Essex, N. W. King, N L Letvin, Priya Sehgal, Mari Kannagi, M. D. Daniel, R. D. Hunt, R. C. Desrosiers, Jean-Louis Sankalé and Godwin Imade. Their work appears in journals such as Science, Blood and Clinical Infectious Diseases.
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.