Francis Shahada
- Food Science top 5%
- Molecular Medicine top 2%
- Endocrinology top 5%
- Pollution top 10%
- Plant Science
- Co-authors
- Takehisa CHUMAKaroku OKAMOTOMasuo SUEYOSHIHesham DahshanMasato AkibaKozo TakaseJoram BuzaMartin Kimanya
- Topics
- Salmonella and Campylobacter epidemiology (15 papers)Antibiotic Resistance in Bacteria (10 papers)Mosquito-borne diseases and control (4 papers)
- Journals
- SHILAP Revista de lepidopterologíaAntimicrobial Agents and ChemotherapyFrontiers in Microbiology
In The Last Decade
Francis Shahada
32 papers receiving 514 citations
Peers
Comparison fields: 5 of 71
- Food Science 316
- Molecular Medicine 211
- Endocrinology 123
- Pollution 106
- Plant Science 67
Countries citing papers authored by Francis Shahada
This map shows the geographic impact of Francis Shahada'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 Francis Shahada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francis Shahada more than expected).
Fields of papers citing papers by Francis Shahada
This network shows the impact of papers produced by Francis Shahada. 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 Francis Shahada. The network helps show where Francis Shahada may publish in the future.
Co-authorship network of co-authors of Francis Shahada
This figure shows the co-authorship network connecting the top 25 collaborators of Francis Shahada. A scholar is included among the top collaborators of Francis Shahada 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 Francis Shahada. Francis Shahada is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Optimal treatment and vaccination control strategies for the dynamics of pulmonary tuberculosis | 2 |
| 2 | Application of optimal control strategies for the dynamics of yellow fever | 3 |
| 3 | Bioefficacy of Bersama Abyssinica Extracts against Cowpea Beetle; Callosobruchus Maculatus in Storage | 3 |
| 4 | 1 | |
| 5 | Analysis of phytochemical composition of Bersama abyssinica by gas chromatography – mass spectrometry | 24 |
| 6 | The Role of Re-Infection in Modeling the Dynamics of One-Strain Tuberculosis Involving Vaccination and Treatment | 3 |
| 7 | 1 | |
| 8 | 25 | |
| 9 | 17 | |
| 10 | 17 | |
| 11 | 36 | |
| 12 | 28 | |
| 13 | 34 | |
| 14 | 22 | |
| 15 | 26 | |
| 16 | 10 | |
| 17 | 28 | |
| 18 | 14 | |
| 19 | 28 | |
| 20 | 76 |
About Francis Shahada
Francis Shahada is a scholar working on Molecular Medicine, Endocrinology and Food Science, having authored 33 papers that have together received 535 indexed citations. Recurring topics across this work include Salmonella and Campylobacter epidemiology (15 papers), Antibiotic Resistance in Bacteria (10 papers) and Mosquito-borne diseases and control (4 papers). The work is most often cited by research in Molecular Medicine (211 citations), Endocrinology (123 citations) and Food Science (316 citations). Francis Shahada has collaborated with scholars based in Japan, Tanzania and Egypt. Frequent co-authors include Takehisa CHUMA, Karoku OKAMOTO, Masuo SUEYOSHI, Hesham Dahshan, Masato Akiba, Kozo Takase, Joram Buza, Martin Kimanya, Musa Chacha and Ryouta Takahashi. Their work appears in journals such as SHILAP Revista de lepidopterología, Antimicrobial Agents and Chemotherapy and Frontiers in Microbiology.
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.