Fidele Ntie‐Kang

4.1k total citations
114 papers, 2.9k citations indexed

About

Fidele Ntie‐Kang is a scholar working on Molecular Biology, Computational Theory and Mathematics and Plant Science. According to data from OpenAlex, Fidele Ntie‐Kang has authored 114 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Molecular Biology, 46 papers in Computational Theory and Mathematics and 33 papers in Plant Science. Recurrent topics in Fidele Ntie‐Kang's work include Computational Drug Discovery Methods (46 papers), Ethnobotanical and Medicinal Plants Studies (20 papers) and Microbial Natural Products and Biosynthesis (12 papers). Fidele Ntie‐Kang is often cited by papers focused on Computational Drug Discovery Methods (46 papers), Ethnobotanical and Medicinal Plants Studies (20 papers) and Microbial Natural Products and Biosynthesis (12 papers). Fidele Ntie‐Kang collaborates with scholars based in Cameroon, Germany and United States. Fidele Ntie‐Kang's 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 and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Fidele Ntie‐Kang

105 papers receiving 2.8k citations

Peers

Fidele Ntie‐Kang
Comparison fields: 5 of 128
  • Molecular Biology 1.2k
  • Computational Theory and Mathematics 814
  • Plant Science 690
  • Organic Chemistry 576
  • Pharmacology 529
Replace Tanos C. C. França with:
Tanos C. C. França Brazil
Sargis Dallakyan United States
Rahul Singh India
Marcus Tullius Scotti Brazil
Sebastian Salentin Germany
Gabriel Navarrete‐Vázquez Mexico
Dinkar Sahal India
Shafi Mahmud Bangladesh
Woo Song Lee South Korea
Sankaranarayanan Murugesan India
Tanos C. C. França Brazil View profile →
Citations per field, relative to Fidele Ntie‐Kang
Fidele Ntie‐Kang · 1×
Citations per year, relative to Fidele Ntie‐Kang
Fidele Ntie‐Kang · 1×

Countries citing papers authored by Fidele Ntie‐Kang

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
# 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

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.

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2026