Fidele Ntie‐Kang
- Computational Theory and Mathematics top 0.5%
- Computational Drug Discovery Methods 46
- Pharmacology top 1%
- Microbial Natural Products and Biosynthesis 12
- Pharmacology top 2%
- Microbial Natural Products and Biosynthesis 12
- Forestry top 2%
- Toxicology top 2%
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- Ethnobotanical and Medicinal Plants Studies 20
- Phytochemistry and Biological Activities 9
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- Natural product bioactivities and synthesis 12
- Plant biochemistry and biosynthesis 10
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- Traditional and Medicinal Uses of Annonaceae 10
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- Synthesis and biological activity 9
- Co-authors
- Wolfgang SipplLydia L. LifongoLuc Meva’a MbazeConrad V. SimobenPascal Amoa OnguénéSimon M. N. EfangeSmith B. BabiakaJean Claude Ndom
- Journals
- Nucleic Acids Research (1 paper)SHILAP Revista de lepidopterología (3 papers)PLoS ONE (5 papers)
- Partner nations
- CameroonGermanyUnited States
In The Last Decade
Fidele Ntie‐Kang
105 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 128
- Computational Theory and Mathematics 814
- Pharmacology 325
- Pharmacology 529
- Forestry 115
- Toxicology 98
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
The 25 scholars most cited alongside Fidele Ntie‐Kang, 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 | 2024 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2022 | 2 | |
| 4 | 2022 | 3 | |
| 5 | 2022 | 4 | |
| 6 | 2021 | 24 | |
| 7 | 2021 | 4 | |
| 8 | 2021 | 13 | |
| 9 | 2021 | 17 | |
| 10 | 2020 | 37 | |
| 11 | 2020 | 77 | |
| 12 | 2020 | 45 | |
| 13 | 2020 | 9 | |
| 14 | 2020 | 40 | |
| 15 | 2020 | 12 | |
| 16 | 2018 | 12 | |
| 17 | 2017 | 29 | |
| 18 | 2017 | 112 | |
| 19 | 2016 | 3 | |
| 20 | 2013 | 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), Microbial Natural Products and Biosynthesis (12 papers), Natural product bioactivities and synthesis (12 papers), Plant biochemistry and biosynthesis (10 papers), Traditional and Medicinal Uses of Annonaceae (10 papers), Synthesis and biological activity (9 papers) and Phytochemistry and Biological Activities (9 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.