Nidhal Selmi

688 citations
15 papers · 367 · h-index 10

Impact in

Papers in

Nidhal Selmi

15 papers receiving 353 citations

Peers

Nidhal Selmi
Comparison fields: 5 of 78
  • Computational Theory and Mathematics 121
  • Pharmacology 39
  • Endocrinology, Diabetes and Metabolism 62
  • Molecular Biology 175
  • Organic Chemistry 67
Replace Inge Thøger Christensen with:
Inge Thøger Christensen Denmark
Graeme R. Robb United Kingdom
Alfred Binggeli Switzerland
Elisabeth Defoßa Germany
Pascal Heitel Germany
Steven J. Woodhead United Kingdom
Jürgen Maibaum Switzerland
Hiroyuki Kakinuma Japan
Bryan J. Witherbee United States
Wolfgang Wostl Switzerland
Nidhal Selmi relative to Inge Thøger Christensen Denmark Inge Thøger Christensen's profile →
Citations per field
00.5×11.3×
Inge Thøger Christensen · 1×
Citations per year

Countries citing papers authored by Nidhal Selmi

Since Specialization
Citations

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

Fields of papers citing papers by Nidhal Selmi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2018121
2 201249
3 201231
4 201627
5 202024
6 201623
7 202122
8 201420
9 202016
10 201211
11 20136
12 20105
13 20115
14 20124
15 20253

About Nidhal Selmi

Nidhal Selmi is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Organic Chemistry, Surgery and Computational Theory and Mathematics, having authored 15 papers that have together received 367 indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (4 papers), Chemical Synthesis and Analysis (3 papers), Computational Drug Discovery Methods (2 papers), Natural Antidiabetic Agents Studies (2 papers), Machine Learning in Materials Science (2 papers), Ion channel regulation and function (2 papers), Carbohydrate Chemistry and Synthesis (2 papers) and Pancreatic function and diabetes (1 paper). The work is most often cited by research in Computational Theory and Mathematics (121 citations), Pharmacology (39 citations), Endocrinology, Diabetes and Metabolism (62 citations), Molecular Biology (175 citations) and Organic Chemistry (67 citations). Nidhal Selmi has collaborated with scholars based in United Kingdom, Sweden and Singapore. Frequent co-authors include Ola Engkvist, Yu‐hong Lam, Zhengwei Peng, Edward C. Sherer, Lynette A. Smyth, Willi Amberg, Per‐Ola Norrby, Paul R. O. Whittamore, Elaine Kilgour and John G. Swales. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Journal of Medicinal Chemistry, MedChemComm, Drug Discovery Today and Cell Death Discovery.

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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