Khalid Al‐Thihli

1.4k citations
50 papers · 456 · h-index 13

Impact in

    • Metabolism and Genetic Disorders
    • Genomics and Rare Diseases
    • Genomic variations and chromosomal abnormalities
    • Genetics and Neurodevelopmental Disorders

Papers in

Khalid Al‐Thihli

45 papers receiving 448 citations

Peers

Khalid Al‐Thihli
Comparison fields: 5 of 64
  • Clinical Biochemistry 135
  • Genetics 116
  • Rheumatology 50
  • Biochemistry 24
  • Molecular Biology 219
Replace Noora Shahbeck with:
Noora Shahbeck Qatar
Ahmed Alfares Saudi Arabia
Sarah Macklin United States
Sunita Bijarnia‐Mahay India
Marwan Nashabat Saudi Arabia
Chupong Ittiwut Thailand
Abelardo Solano Spain
Joan E. Pellegrino United States
Michaela Brunner‐Krainz Austria
Austin Larson United States
Khalid Al‐Thihli relative to Noora Shahbeck Qatar Noora Shahbeck's profile →
Citations per field
00.5×1.5×1.9×
Noora Shahbeck · 1×
Citations per year

Countries citing papers authored by Khalid Al‐Thihli

Since Specialization
Citations

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

Fields of papers citing papers by Khalid Al‐Thihli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201849
2 201135
3 201629
4 201327
5 201424
6 200922
7 200820
8 202019
9 201318
10 201918
11 201916
12 201814
13 201913
14 202212
15 202012
16 201312
17 20199
18 20159
19 20209
20 20218

About Khalid Al‐Thihli

Khalid Al‐Thihli is a scholar working on Molecular Biology, Clinical Biochemistry, Genetics, Physiology and Cell Biology, having authored 50 papers that have together received 456 indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (18 papers), Mitochondrial Function and Pathology (8 papers), Genetics and Neurodevelopmental Disorders (6 papers), Genomics and Rare Diseases (6 papers), RNA modifications and cancer (5 papers), Diet and metabolism studies (4 papers), Genomic variations and chromosomal abnormalities (4 papers) and RNA regulation and disease (3 papers). The work is most often cited by research in Clinical Biochemistry (135 citations), Genetics (116 citations), Rheumatology (50 citations), Biochemistry (24 citations) and Molecular Biology (219 citations). Khalid Al‐Thihli has collaborated with scholars based in Oman, United Arab Emirates and Canada. Frequent co-authors include Zandrè Bruwer, Watfa Al‐Mamari, Almundher Al‐Maawali, Anuradha Ganesh, Amna Al‐Futaisi, Majid Alfadhel, Fathiya Al Murshedi, Abeer Al‐Saegh, Fathiya Al-Murshedi and Nadia Alhashmi. Their work appears in journals such as Clinical Genetics, Scientific Reports, Pediatric Neurology, Orphanet Journal of Rare Diseases and European Journal of Human Genetics.

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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