Iman Ibrahim

26 papers receiving 363 citations

Peers

Iman Ibrahim
Comparison fields: 5 of 70
  • Aquatic Science 106
  • Endocrinology 66
  • Immunology 212
  • Parasitology 52
  • Microbiology 24
Replace Michał Stosik with:
Michał Stosik Poland
Brett MacKinnon Hong Kong
Vicente Vega-Sánchez Mexico
Truong Dinh Hoai Vietnam
Md. Mer Mosharraf Hossain Bangladesh
Torunn Forberg Norway
Alexanda Mzula Tanzania
David J. Pasnik United States
Harresh Adikesavalu India
Iang Schroniltgen Rondón‐Barragán Colombia
Iman Ibrahim relative to Michał Stosik Poland Michał Stosik's profile →
Citations per field
00.5×3.7×
Michał Stosik · 1×
Citations per year

Countries citing papers authored by Iman Ibrahim

Since Specialization
Citations

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

Fields of papers citing papers by Iman Ibrahim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Iman Ibrahim, 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 Iman Ibrahim Line = papers co-authored together Iman Ibrahim links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201796
2 201748
3 201533
4 202123
5 201921
6 202019
7 202117
8 202316
9 200015
10 201615
11 202212
12 201710
13 20008
14 20236
15 20016
16
Effect of topical agents on cercariae of Schistosoma mansoni.
20045
17 20194
18
Congenital trichinellosis in experimentally infected mice.
20054
19 20213
20 20242

About Iman Ibrahim

Iman Ibrahim is a scholar working on Immunology, Aquatic Science, Ecology, Parasitology and Endocrinology, having authored 28 papers that have together received 370 indexed citations. Recurring topics across this work include Aquaculture disease management and microbiota (12 papers), Aquaculture Nutrition and Growth (6 papers), Vibrio bacteria research studies (4 papers), Parasite Biology and Host Interactions (3 papers), Parasitic Diseases Research and Treatment (3 papers), Coccidia and coccidiosis research (2 papers), Environmental Toxicology and Ecotoxicology (2 papers) and Bacteriophages and microbial interactions (2 papers). The work is most often cited by research in Aquatic Science (106 citations), Endocrinology (66 citations), Immunology (212 citations), Parasitology (52 citations) and Microbiology (24 citations). Iman Ibrahim has collaborated with scholars based in Egypt, United States and Saudi Arabia. Frequent co-authors include Hossam Abdelhamed, Attila Karsi, Mark L. Lawrence, Wes Baumgartner, Samia Elbahnaswy, Ola A. Habotta, Eman Zahran, Seong Won Nho, Michelle M. Banes and Robert W. Wills. Their work appears in journals such as Fish & Shellfish Immunology, Multiple Sclerosis and Related Disorders, Parasite, BMC Veterinary Research and Biological Trace Element Research.

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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