Adnane Sellam

6.0k citations
57 papers · 3.5k · 2 hit papers · h-index 27

Impact in

Papers in

Adnane Sellam

56 papers receiving 3.5k citations

Adnane Sellam's Hit Papers

The BioGRID interaction database: 2017 update 2016 · 709 citations
7090+4+9Years since publication200400600

Peers

Adnane Sellam
Comparison fields: 5 of 117
  • Infectious Diseases 1.0k
  • Molecular Biology 2.1k
  • Epidemiology 613
  • Cell Biology 316
  • Aging 33
Replace Nir Osherov with:
Nir Osherov Israel
Ted Jones United States
Rebecca S. Shapiro Canada
André Nantel Canada
Mikio Arisawa Japan
Praveen R. Juvvadi United States
Jeffrey M. Becker United States
María E. Cárdenas United States
Markus Wiederstein Austria
Frédéric Kerff Belgium
Adnane Sellam relative to Nir Osherov Israel Nir Osherov's profile →
Citations per field
00.5×2.8×
Nir Osherov · 1×
Citations per year

Countries citing papers authored by Adnane Sellam

Since Specialization
Citations

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

Fields of papers citing papers by Adnane Sellam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The BioGRID interaction database: 2013 update
Hit paper breakdown →
2012730
2
The BioGRID interaction database: 2017 update
Hit paper breakdown →
2016709
3 2009202
4 2008154
5 2009118
6 2010113
7 200893
8 200882
9 200679
10 200974
11 201271
12 201570
13 200969
14 200765
15 201064
16 201761
17 202056
18 201050
19 201450
20 200948

About Adnane Sellam

Adnane Sellam is a scholar working on Molecular Biology, Infectious Diseases, Plant Science, Epidemiology and Pharmacology, having authored 57 papers that have together received 3.5k indexed citations. Recurring topics across this work include Antifungal resistance and susceptibility (30 papers), Fungal and yeast genetics research (20 papers), Fungal Infections and Studies (11 papers), Plant-Microbe Interactions and Immunity (5 papers), Fungal Biology and Applications (5 papers), Plant Pathogens and Fungal Diseases (4 papers), Polyamine Metabolism and Applications (4 papers) and Plant Disease Resistance and Genetics (4 papers). The work is most often cited by research in Infectious Diseases (1.0k citations), Molecular Biology (2.1k citations), Epidemiology (613 citations), Cell Biology (316 citations) and Aging (33 citations). Adnane Sellam has collaborated with scholars based in Canada, United States and France. Frequent co-authors include André Nantel, Malcolm Whiteway, Faïza Tebbji, Mike Tyers, Kara Dolinski, Nadine K. Kolas, Bobby‐Joe Breitkreutz, Jennifer Rust, Chris Stark and Christie Chang. Their work appears in journals such as mSphere, Nucleic Acids Research, Eukaryotic Cell, PLoS Genetics and FEMS Yeast 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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