Slimane Ben Miled

30 papers receiving 2.7k citations

Slimane Ben Miled's Hit Papers

In silico prediction of protein-protein interactions in human macrophages 2014 · 2.6k citations
2.6k0+4+8Years since publication50010001.5k2.0k2.5k

Peers

Slimane Ben Miled
Comparison fields: 5 of 148
  • Cancer Research 424
  • Aging 41
  • Molecular Biology 1.4k
  • Immunology 224
  • Computational Mathematics 6
Replace Oussema Souiai with:
Oussema Souiai Tunisia
Alia Benkahla Tunisia
Pedro Carmona‐Sáez Spain
Fatma Z. Guerfali Tunisia
Kimberly Glass United States
Jeremy Gollub United States
Zhi‐Ping Liu China
Quentin Shao Canada
Kristina Hanspers United States
Pierluigi Strippoli Italy
Slimane Ben Miled relative to Oussema Souiai Tunisia Oussema Souiai's profile →
Citations per field
00.5×1.5×
Oussema Souiai · 1×
Citations per year

Countries citing papers authored by Slimane Ben Miled

Since Specialization
Citations

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

Fields of papers citing papers by Slimane Ben Miled

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Slimane Ben Miled. 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 Slimane Ben Miled. The network helps show where Slimane Ben Miled may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1
In silico prediction of protein-protein interactions in human macrophages
Hit paper breakdown →
20142586
2 202217
3 202216
4 20219
5 20208
6 20158
7 20227
8 20106
9 20165
10 20185
11 20225
12 20095
13 20135
14 20124
15 20234
16 20154
17 20213
18 20223
19 20203
20 20223

About Slimane Ben Miled

Slimane Ben Miled is a scholar working on Sociology and Political Science, Public Health, Environmental and Occupational Health, Modeling and Simulation, Global and Planetary Change and Genetics, having authored 35 papers that have together received 2.7k indexed citations. Recurring topics across this work include Evolutionary Game Theory and Cooperation (8 papers), COVID-19 epidemiological studies (6 papers), Marine and fisheries research (5 papers), Evolution and Genetic Dynamics (4 papers), Mathematical and Theoretical Epidemiology and Ecology Models (3 papers), Viral Infections and Vectors (3 papers), COVID-19 Pandemic Impacts (3 papers) and Plant and animal studies (3 papers). The work is most often cited by research in Cancer Research (424 citations), Aging (41 citations), Molecular Biology (1.4k citations), Immunology (224 citations) and Computational Mathematics (6 citations). Slimane Ben Miled has collaborated with scholars based in Tunisia, France and Morocco. Frequent co-authors include Alia Benkahla, Fatma Z. Guerfali, Oussema Souiai, Christine Brun, Sébastien Bourdin, Narjès Bellamine Ben Saoud, M.L. Hbid, Jacques Demongeot, Nina H. Fefferman and Carla Taramasco. Their work appears in journals such as Acta Biotheoretica, Ecological Modelling, Journal of Theoretical Biology, Journal of Mathematical Biology and Scientific Reports.

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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