Khalid Ibrahim

723 citations
27 papers · 395 · h-index 13

Impact in

Papers in

    • RNA modifications and cancer 4
    • RNA regulation and disease 2
    • Biochemical and Molecular Research 2

Khalid Ibrahim

25 papers receiving 387 citations

Peers

Khalid Ibrahim
Comparison fields: 5 of 65
  • Genetics 87
  • Clinical Biochemistry 46
  • Biochemistry 41
  • Hematology 37
  • Psychiatry and Mental health 45
Replace James D. Weisfeld‐Adams with:
James D. Weisfeld‐Adams United States
Shu-Chuan Chiang Taiwan
Norberto Guelbert Argentina
Ed Wraith United Kingdom
Muhammad Talal Alrifai Saudi Arabia
Francesco Canonico Italy
Mislen Bauer United States
María Juliana Ballesta‐Martínez Spain
Tahir Naeem Khan Pakistan
J.L. Slooff Netherlands
Khalid Ibrahim relative to James D. Weisfeld‐Adams United States James D. Weisfeld‐Adams's profile →
Citations per field
00.5×1.7×
James D. Weisfeld‐Adams · 1×
Citations per year

Countries citing papers authored by Khalid Ibrahim

Since Specialization
Citations

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

Fields of papers citing papers by Khalid Ibrahim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201657
2 201348
3 201146
4 201233
5 202132
6 200328
7 201424
8 201517
9 202015
10 201714
11 201014
12 201613
13 202213
14 20148
15 20208
16 20116
17 20185
18 20083
19 20162
20 20102

About Khalid Ibrahim

Khalid Ibrahim is a scholar working on Molecular Biology, Surgery, Hematology, Genetics and Pediatrics, Perinatology and Child Health, having authored 27 papers that have together received 395 indexed citations. Recurring topics across this work include RNA modifications and cancer (4 papers), Neurogenetic and Muscular Disorders Research (4 papers), Metabolism and Genetic Disorders (3 papers), Acute Myeloid Leukemia Research (2 papers), RNA regulation and disease (2 papers), Biochemical and Molecular Research (2 papers), Pharmacological Effects and Toxicity Studies (2 papers) and Acute Lymphoblastic Leukemia research (2 papers). The work is most often cited by research in Genetics (87 citations), Clinical Biochemistry (46 citations), Biochemistry (41 citations), Hematology (37 citations) and Psychiatry and Mental health (45 citations). Khalid Ibrahim has collaborated with scholars based in Qatar, United States and Saudi Arabia. Frequent co-authors include Tawfeg Ben‐Omran, Noora Shahbeck, Johannes Häberle, Richard Appleton, Mahmoud F. Elsaid, Mahmoud Sakran, Georg F. Hoffmann, Khalid Alansari, Bruce L. Davidson and Alice Abdel Aleem. Their work appears in journals such as Seizure, Gene Therapy, Clinical Genetics, Journal of Inherited Metabolic Disease and Orphanet Journal of Rare Diseases.

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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