Nidal Al‐Huniti

2.0k citations
72 papers · 1.4k indexed · 1 hit paper · h-index 21
Topics
Pharmacogenetics and Drug Metabolism (13 papers)Lung Cancer Treatments and Mutations (10 papers)Statistical Methods in Clinical Trials (8 papers)

In The Last Decade

Nidal Al‐Huniti

71 papers receiving 1.3k citations

Hit Papers

Model Evaluation of Continuous Data Pharmacometric Models...2016202620192022201650100150200250

Peers

Nidal Al‐Huniti
Comparison fields: 5 of 115
  • Oncology 280
  • Molecular Biology 226
  • Pharmacology 226
  • Pharmacology 202
  • Pulmonary and Respiratory Medicine 195
Replace DR Mould with:
DR Mould United States
MO Karlsson Sweden
Martin Bergstrand Sweden
Ron J. Keizer Netherlands
Danièle Ouellet United States
Kayode Ogungbenro United Kingdom
Thomas Kerbusch Netherlands
Marc R. Gastonguay United States
Diansong Zhou United States
Rajanikanth Madabushi United States
Nidal Al‐Huniti relative to DR Mould United States DR Mould's profile →
Citations per field
00.5×1.6×
DR Mould · 1×
Citations per year

Countries citing papers authored by Nidal Al‐Huniti

Since Specialization
Citations

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

Fields of papers citing papers by Nidal Al‐Huniti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nidal Al‐Huniti. 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 Nidal Al‐Huniti. The network helps show where Nidal Al‐Huniti may publish in the future.

Co-authorship network of co-authors of Nidal Al‐Huniti

This figure shows the co-authorship network connecting the top 25 collaborators of Nidal Al‐Huniti. A scholar is included among the top collaborators of Nidal Al‐Huniti 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 Nidal Al‐Huniti. Nidal Al‐Huniti 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 27
3 11
4 14
5 1
6 17
7 83
8 3
9
Model Evaluation of Continuous Data Pharmacometric Models: Metrics and Graphicsbreakdown →
292
10 3
11 13
12 26
13 64
14 10
15 21
16 7
17 21
18 21
19 6
20 16

About Nidal Al‐Huniti

Nidal Al‐Huniti is a scholar working on Pharmacology, Gastroenterology and Statistics and Probability, having authored 72 papers that have together received 1.4k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (13 papers), Lung Cancer Treatments and Mutations (10 papers) and Statistical Methods in Clinical Trials (8 papers). The work is most often cited by research in Pharmacology (202 citations), Pharmacology (226 citations) and Modeling and Simulation (60 citations). Nidal Al‐Huniti has collaborated with scholars based in United States, United Kingdom and South Korea. Frequent co-authors include Diansong Zhou, Hongmei Xu, Baha Al-Shawwa, Khanh Bui, Mutasim Abu‐Hasan, John A. Widness, Mark Sostek, Helen Tomkinson, Robert L. Schmidt and Wangda Zhou. Their work appears in journals such as Journal of Clinical Oncology, Cancer Research and Antimicrobial Agents and Chemotherapy.

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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