Khalid S.A. Khabar

4.5k citations
77 papers · 3.4k indexed · h-index 35
  • Hepatology top 1%
  • Immunology top 2%
    • interferon and immune responses 20
    • Immune Cell Function and Interaction 11
    • Immune Response and Inflammation 9
    • RNA Research and Splicing 38
    • RNA modifications and cancer 18
    • RNA and protein synthesis mechanisms 17
    • RNA Interference and Gene Delivery 6
  • Oncology top 5%
    • Cytokine Signaling Pathways and Interactions 9

Khalid S.A. Khabar

75 papers receiving 3.3k citations

Peers

Khalid S.A. Khabar
Comparison fields: 5 of 116
  • Hepatology 554
  • Immunology 949
  • Cancer Research 573
  • Molecular Biology 1.7k
  • Oncology 508
Replace Asish K. Ghosh with:
Asish K. Ghosh United States
Faruk Sheikh United States
Takuya Miyagi Japan
Salvatore Antonaci Italy
Keng‐Hsin Lan Taiwan
Giichi Takaesu Japan
Yizhi Yu China
Marc Pellegrini Australia
Youhai H. Chen United States
Ben A. Croker United States
Khalid S.A. Khabar relative to Asish K. Ghosh United States Asish K. Ghosh's profile →
Citations per field
00.5×1.5×2.4×
Asish K. Ghosh · 1×
Citations per year

Countries citing papers authored by Khalid S.A. Khabar

Since Specialization
Citations

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

Fields of papers citing papers by Khalid S.A. Khabar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20232
3 20231
4 20218
5 20214
6 201839
7 201663
8 201514
9 201434
10 201242
11 201022
12 200994
13 200828
14 20074
15 200767
16 2005143
17 200222
18 20026
19 199536
20 19925

About Khalid S.A. Khabar

Khalid S.A. Khabar is a scholar working on Immunology, Molecular Biology and Hepatology, having authored 77 papers that have together received 3.4k indexed citations. Recurring topics across this work include RNA Research and Splicing (38 papers), interferon and immune responses (20 papers), RNA modifications and cancer (18 papers), RNA and protein synthesis mechanisms (17 papers), Immune Cell Function and Interaction (11 papers), Immune Response and Inflammation (9 papers), Cytokine Signaling Pathways and Interactions (9 papers) and RNA Interference and Gene Delivery (6 papers). The work is most often cited by research in Hepatology (554 citations), Immunology (949 citations) and Cancer Research (573 citations). Khalid S.A. Khabar has collaborated with scholars based in Saudi Arabia, United States and Japan. Frequent co-authors include Stephen J. Polyak, Bryan Williams, Tala Bakheet, Maher Al‐Saif, David R. Gretch, Naofumi Mukaida, Wijdan Al‐Ahmadi, Latifa Al‐Haj, Mathias A.E. Frevel and Edward Hitti. Their work appears in journals such as Nucleic Acids Research, Journal of Biological Chemistry and The Journal of Experimental Medicine.

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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