Samer Haidar

713 citations
27 papers · 541 indexed · h-index 12
Topics
PI3K/AKT/mTOR signaling in cancer (6 papers)Protein Kinase Regulation and GTPase Signaling (6 papers)Prostate Cancer Treatment and Research (5 papers)
Partner nations
GermanySyriaSpain

In The Last Decade

Samer Haidar

27 papers receiving 534 citations

Peers

Samer Haidar
Comparison fields: 5 of 94
  • Molecular Biology 232
  • Oncology 96
  • Genetics 93
  • Pulmonary and Respiratory Medicine 91
  • Organic Chemistry 87
Replace Mariagrazia Distefano with:
Mariagrazia Distefano Italy
Swati Prasad United States
Malkhey Verma India
Hing-Yat Peter Lam Canada
Daniel D. Holsworth United States
Shu‐Ping Wang China
Raynard L. Bateman United States
Nathalie Meurice United States
Douglas G. Batt United States
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Citations per field
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Mariagrazia Distefano · 1×
Citations per year

Countries citing papers authored by Samer Haidar

Since Specialization
Citations

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

Fields of papers citing papers by Samer Haidar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Samer Haidar

This figure shows the co-authorship network connecting the top 25 collaborators of Samer Haidar. A scholar is included among the top collaborators of Samer Haidar based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Samer Haidar. Samer Haidar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 5
3 12
4 13
5 7
6 19
7 11
8 1
9 29
10 3
11 74
12 81
13 36
14 1
15
Development and Validation of RP-HPLC Method for Analysis of Four UV Filters in Sunscreen Products
3
16
DEVELOPMENT AND VALIDATION OF RP-HPLC METHOD FOR DETERMINATION OF CLOPIDOGREL IN TABLETS Research Article
1
17 81
18 13
19 49
20 3

About Samer Haidar

Samer Haidar is a scholar working on Computational Mathematics, Toxicology and Pharmacology, having authored 27 papers that have together received 541 indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (6 papers), Protein Kinase Regulation and GTPase Signaling (6 papers) and Prostate Cancer Treatment and Research (5 papers). The work is most often cited by research in Pharmacology (66 citations), Toxicology (21 citations) and Endocrinology, Diabetes and Metabolism (84 citations). Samer Haidar has collaborated with scholars based in Germany, Syria and Spain. Frequent co-authors include Rolf W. Hartmann, Joachim Jose, Peter B. Ehmer, Christine Batzl‐Hartmann, Marc Le Borgne, David Knoff, Keith L. Ligon, Ahmed Idbaïh, Patrick Y. Wen and Bernhard Wünsch. Their work appears in journals such as Nature Biotechnology, Clinical Cancer Research and Journal of Medicinal Chemistry.

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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