Peter Chinedu Agu
- Molecular Biology
- Computational Theory and Mathematics top 5%
- Organic Chemistry
- Plant Science
- Pharmacology
- Co-authors
- Patrick Maduabuchi AjaErnest Mbamalu EzehO.U. OrjiCelestine Azubuike AfiukwaEmmanuel Ike UgwujaCyprian O. OgbuEsther Ugo AlumDeusdedit Tusubira
- Topics
- Hormonal and reproductive studies (3 papers)Natural Antidiabetic Agents Studies (3 papers)Urinary Bladder and Prostate Research (3 papers)
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsGene
In The Last Decade
Peter Chinedu Agu
24 papers receiving 600 citations
Hit Papers
Peers
Comparison fields: 5 of 97
- Molecular Biology 212
- Computational Theory and Mathematics 148
- Organic Chemistry 136
- Plant Science 77
- Pharmacology 61
Countries citing papers authored by Peter Chinedu Agu
This map shows the geographic impact of Peter Chinedu Agu'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 Peter Chinedu Agu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Chinedu Agu more than expected).
Fields of papers citing papers by Peter Chinedu Agu
This network shows the impact of papers produced by Peter Chinedu Agu. 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 Peter Chinedu Agu. The network helps show where Peter Chinedu Agu may publish in the future.
Co-authorship network of co-authors of Peter Chinedu Agu
This figure shows the co-authorship network connecting the top 25 collaborators of Peter Chinedu Agu. A scholar is included among the top collaborators of Peter Chinedu Agu 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 Peter Chinedu Agu. Peter Chinedu Agu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 4 | |
| 8 | 0 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 0 | |
| 12 | 16 | |
| 13 | 4 | |
| 14 | 6 | |
| 15 | Molecular docking as a tool for the discovery of molecular targets of nutraceuticals in diseases managementbreakdown → | 479 |
| 16 | 7 | |
| 17 | 11 | |
| 18 | 12 | |
| 19 | 9 | |
| 20 | 10 |
About Peter Chinedu Agu
Peter Chinedu Agu is a scholar working on Complementary and alternative medicine, Urology and Pharmacology, having authored 30 papers that have together received 620 indexed citations. Recurring topics across this work include Hormonal and reproductive studies (3 papers), Natural Antidiabetic Agents Studies (3 papers) and Urinary Bladder and Prostate Research (3 papers). The work is most often cited by research in Computational Theory and Mathematics (148 citations), Pharmacology (52 citations) and Complementary and alternative medicine (46 citations). Peter Chinedu Agu has collaborated with scholars based in Nigeria, Uganda and China. Frequent co-authors include Patrick Maduabuchi Aja, Ernest Mbamalu Ezeh, O.U. Orji, Celestine Azubuike Afiukwa, Emmanuel Ike Ugwuja, Cyprian O. Ogbu, Esther Ugo Alum, Deusdedit Tusubira, I. O. Igwenyi and Abayomi Emmanuel Adegboyega. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Gene.
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.