Fidele Ntie‐Kang
- Molecular Biology top 10%
- Computational Theory and Mathematics top 0.5%
- Plant Science top 5%
- Organic Chemistry top 5%
- Pharmacology top 2%
- Co-authors
- Wolfgang SipplLydia L. LifongoLuc Meva’a MbazeConrad V. SimobenPascal Amoa OnguénéSimon M. N. EfangeSmith B. BabiakaJean Claude Ndom
- Topics
- Computational Drug Discovery Methods (46 papers)Ethnobotanical and Medicinal Plants Studies (20 papers)Microbial Natural Products and Biosynthesis (12 papers)
- Journals
- Nucleic Acids ResearchSHILAP Revista de lepidopterologíaPLoS ONE
- Partner nations
- CameroonGermanyUnited States
In The Last Decade
Fidele Ntie‐Kang
105 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 128
- Molecular Biology 1.2k
- Computational Theory and Mathematics 814
- Plant Science 690
- Organic Chemistry 576
- Pharmacology 529
Countries citing papers authored by Fidele Ntie‐Kang
This map shows the geographic impact of Fidele Ntie‐Kang'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 Fidele Ntie‐Kang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fidele Ntie‐Kang more than expected).
Fields of papers citing papers by Fidele Ntie‐Kang
This network shows the impact of papers produced by Fidele Ntie‐Kang. 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 Fidele Ntie‐Kang. The network helps show where Fidele Ntie‐Kang may publish in the future.
Co-authorship network of co-authors of Fidele Ntie‐Kang
This figure shows the co-authorship network connecting the top 25 collaborators of Fidele Ntie‐Kang. A scholar is included among the top collaborators of Fidele Ntie‐Kang 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 Fidele Ntie‐Kang. Fidele Ntie‐Kang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 3 | |
| 5 | 4 | |
| 6 | 24 | |
| 7 | 4 | |
| 8 | 13 | |
| 9 | 17 | |
| 10 | 37 | |
| 11 | 77 | |
| 12 | 45 | |
| 13 | 9 | |
| 14 | 40 | |
| 15 | 12 | |
| 16 | 12 | |
| 17 | 29 | |
| 18 | 112 | |
| 19 | 3 | |
| 20 | 35 |
About Fidele Ntie‐Kang
Fidele Ntie‐Kang is a scholar working on Computational Theory and Mathematics, Pharmacology and Biochemistry, having authored 114 papers that have together received 2.9k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (46 papers), Ethnobotanical and Medicinal Plants Studies (20 papers) and Microbial Natural Products and Biosynthesis (12 papers). The work is most often cited by research in Computational Theory and Mathematics (814 citations), Pharmacology (325 citations) and Pharmacology (529 citations). Fidele Ntie‐Kang has collaborated with scholars based in Cameroon, Germany and United States. Frequent co-authors include Wolfgang Sippl, Lydia L. Lifongo, Luc Meva’a Mbaze, Conrad V. Simoben, Pascal Amoa Onguéné, Simon M. N. Efange, Smith B. Babiaka, Jean Claude Ndom, L. C. Owono Owono and James A. Mbah. Their work appears in journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and PLoS ONE.
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.