Kasim Allel

42 papers receiving 501 citations

Hit Papers

Global antimicrobial-resistance drivers: an ecological country-level study at the human–animal interface 2023 · 127 citations
12720232026202420254080120

Peers

Kasim Allel
Comparison fields: 5 of 113
  • Applied Microbiology and Biotechnology 117
  • Molecular Medicine 106
  • Health 59
  • Clinical Biochemistry 44
  • Pollution 70
Replace PrateekSaurabh Shrivastava with:
PrateekSaurabh Shrivastava India
Webrod Mufwambi Zambia
Sachin Silva United States
R. E. Glover United Kingdom
Keerti Singh Barbados
Maisa Kasanga Zambia
Halyna Lugova Malaysia
Neema Mturi Kenya
Md Abul Kalam Bangladesh
Rania Kishk Egypt
Kasim Allel relative to PrateekSaurabh Shrivastava India PrateekSaurabh Shrivastava's profile →
Citations per field
00.5×3.5×
PrateekSaurabh Shrivastava · 1×
Citations per year

Countries citing papers authored by Kasim Allel

Since Specialization
Citations

This map shows the geographic impact of Kasim Allel'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 Kasim Allel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kasim Allel more than expected).

Fields of papers citing papers by Kasim Allel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kasim Allel. 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 Kasim Allel. The network helps show where Kasim Allel may publish in the future.

Co-authors

The 25 scholars most cited alongside Kasim Allel, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Kasim Allel Line = papers co-authored together Kasim Allel links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Global antimicrobial-resistance drivers: an ecological country-level study at the human–animal interface
Hit paper breakdown →
2023127
2 201940
3 202333
4 202025
5 202023
6 202022
7 202320
8 202220
9 202019
10 202218
11 202117
12 201913
13 202112
14 202211
15 202110
16 20238
17 20218
18 20227
19 20197
20 20246

About Kasim Allel

Kasim Allel is a scholar working on Applied Microbiology and Biotechnology, Molecular Medicine, Clinical Biochemistry, Infectious Diseases and Health, having authored 46 papers that have together received 512 indexed citations. Recurring topics across this work include Antibiotic Use and Resistance (14 papers), Antibiotic Resistance in Bacteria (8 papers), Bacterial Identification and Susceptibility Testing (7 papers), Health disparities and outcomes (5 papers), Tuberculosis Research and Epidemiology (4 papers), Global Maternal and Child Health (4 papers), Antimicrobial Resistance in Staphylococcus (4 papers) and Climate Change and Health Impacts (4 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (117 citations), Molecular Medicine (106 citations), Health (59 citations), Clinical Biochemistry (44 citations) and Pollution (70 citations). Kasim Allel has collaborated with scholars based in United Kingdom, Chile and United States. Frequent co-authors include Laith Yakob, Luis Furuya‐Kanamori, Catrin E. Moore, Leesa Lin, Esteban Calvo, Ursula M. Staudinger, Alisa Hamilton, Ramanan Laxminarayan, Thomas P. Van Boeckel and Eduardo A. Undurraga. Their work appears in journals such as The Lancet Regional Health - Americas, Journal of Travel Medicine, Clinical Infectious Diseases, BMJ Global Health 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.

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